mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 12 Feb 2026

446 papers

  1. SPIRE: Structure-Preserving Interpretable Retrieval of EvidenceRetrieval-augmented generation → Multimodal RAG
  2. MoE-SpAc: Efficient MoE Inference Based on Speculative Activation Utility in Heterogeneous Edge ScenariosMixture-of-experts → Efficient MoE training and inference systems
  3. Visual Foresight for Robotic Stow: A Diffusion-Based World Model from Sparse SnapshotsWorld models → Embodied and robot world models
  4. FireRed-Image-Edit-1.0 Technical ReportDiffusion models → Image generation, text-to-image and editing
  5. Continuous Diffusion Models Can Obey Formal SyntaxDiffusion models → Discrete and text diffusion
  6. Safe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics ModelsDeep reinforcement learning methods → Safe and constrained RL
  7. Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path ForwardLLM agents and tool use → Agent skill learning and evolution
  8. CacheMind: From Miss Rates to Why -- Natural-Language, Trace-Grounded Reasoning for Cache ReplacementLLM reasoning → Test-time compute and efficient thinking +1
  9. Sparse Autoencoders are Capable LLM Jailbreak MitigatorsLLM safety and security → Jailbreaking +1
  10. Self-Refining Vision Language Model for Robotic Failure Detection and ReasoningLLM reasoning → Spatial and embodied reasoning +1
  11. MonoLoss: A Training Objective for Interpretable Monosemantic RepresentationsMechanistic interpretability → SAE features and their applications
  12. AstRL: Analog and Mixed-Signal Circuit Synthesis with Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  13. What does RL improve for Visual Reasoning? A Frankenstein-Style AnalysisLLM reasoning → Multimodal reasoning +1
  14. Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  15. Value Bonuses using Ensemble Errors for Exploration in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  16. Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token CommunicationsDeep reinforcement learning methods → RL for energy, networks and operations
  17. ForeAct: Steering Your VLA with Efficient Visual Foresight PlanningVision-language-action models → World model-based VLA
  18. Abstractive Red-Teaming of Language Model CharacterLLM safety and security → Prompt injection and agent security
  19. AgenticShop: Benchmarking Agentic Product Curation for Personalized Web ShoppingLLM agents and tool use → Social simulation and multi-agent debate
  20. Perceptual Self-Reflection in Agentic Physics Simulation Code GenerationLLM agents and tool use → Multimodal and embodied agents
  21. Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action AlignmentVision-language-action models → Failure recovery and robustness
  22. UniT: Unified Multimodal Chain-of-Thought Test-time ScalingLLM reasoning → Multimodal reasoning
  23. AttentionRetriever: Attention Layers are Secretly Long Document RetrieversRetrieval-augmented generation → Generation and context integration
  24. Agentic Test-Time Scaling for WebAgentsLLM reasoning → Reasoning for agents, planning and code +1
  25. On-Policy Context Distillation for Language ModelsKnowledge distillation → On-policy and self-distillation for LLMs
  26. Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and StorageDiffusion models → Flow matching, time series and science
  27. MonarchRT: Efficient Attention for Real-Time Video GenerationDiffusion models → Video generation
  28. CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool UseLLM agents and tool use → Reinforcement learning for LLM agents
  29. Few-Step Diffusion Language Models via Trajectory Self-DistillationDiffusion models → Discrete and text diffusion +2
  30. Think like a Scientist: Physics-guided LLM Agent for Equation DiscoveryLLM reasoning → Knowledge- and tool-augmented reasoning +1
  31. Detecting Overflow in Compressed Token Representations for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  32. Categorical Flow MapsDiffusion models → Flow matching, time series and science +1
  33. Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy OptimiserDiffusion models → Diffusion and flow policies for robotics
  34. Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow MatchingLLM reasoning → Multimodal reasoning +1
  35. The Observer Effect in World Models: Invasive Adaptation Corrupts Latent PhysicsWorld models → Latent predictive world models
  36. Visual Reasoning Benchmark: Evaluating Multimodal LLMs on Classroom-Authentic Visual Problems from Primary EducationLLM reasoning → Multimodal reasoning +1
  37. MalTool: Malicious Tool Attacks on LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
  38. Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash EquilibriaDeep reinforcement learning methods → RL for games and combinatorial optimization
  39. How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative DynamicsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  40. Pedagogically-Inspired Data Synthesis for Language Model Knowledge DistillationSynthetic data and self-improvement for LLMs → Code and instruction data synthesis +1
  41. Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse SupervisionLLM reasoning → Mathematical reasoning
  42. 3DGSNav: Enhancing Vision-Language Model Reasoning for Object Navigation via Active 3D Gaussian SplattingLLM reasoning → Spatial and embodied reasoning +1
  43. SafeNeuron: Neuron-Level Safety Alignment for Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +2
  44. TexSpot: 3D Texture Enhancement with Spatially-uniform Point Latent RepresentationDiffusion models → 3D, point cloud and scene generation
  45. FAIL: Flow Matching Adversarial Imitation Learning for Image GenerationDiffusion models → Diffusion and flow policies for robotics +2
  46. OServe: Accelerating LLM Serving via Spatial-Temporal Workload OrchestrationEfficient LLM inference and serving → Serving systems and request scheduling
  47. Seq2Seq2Seq: Lossless Data Compression via Discrete Latent Transformers and Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  48. On the Adoption of AI Coding Agents in Open-source Android and iOS DevelopmentLLM agents and tool use → Software engineering coding agents
  49. STAR : Bridging Statistical and Agentic Reasoning for Large Model Performance PredictionLLM reasoning → Reasoning for agents, planning and code +1
  50. BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated LearningLLM safety and security → Federated unlearning and poisoning
  51. WavBench: Benchmarking Reasoning, Colloquialism, and Paralinguistics for End-to-End Spoken Dialogue ModelsLLM reasoning → Audio-language model reasoning
  52. Value Alignment Tax: Measuring Value Trade-offs in LLM AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  53. Learning beyond Teacher: Generalized On-Policy Distillation with Reward ExtrapolationKnowledge distillation → On-policy and self-distillation for LLMs +1
  54. Alignment Risks from Capability-Seeking RL TrainingLLM safety and security → Safety alignment, refusal and guardrails
  55. P-GenRM: Personalized Generative Reward Model with Test-time User-based ScalingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  56. Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated PenaltyLLM reasoning → Test-time compute and efficient thinking
  57. On the Complexity of Offline Reinforcement Learning with Q^star-Approximation and Partial CoverageOffline RL and imitation learning from data → Offline RL algorithms
  58. GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement LearningWorld models → Embodied and robot world models +1
  59. Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party NegotiationLLM agents and tool use → Social simulation and multi-agent debate
  60. Geometry of Uncertainty: Learning Metric Spaces for Multimodal State Estimation in RLDeep reinforcement learning methods → Deep RL algorithms and representations
  61. Differentiable Modal Logic for Multi-Agent Diagnosis, Orchestration and CommunicationLLM agents and tool use → General LLM agent frameworks and benchmarks
  62. Tiny Recursive Reasoning with Mamba-2 Attention HybridLLM reasoning → Test-time compute and efficient thinking +1
  63. VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World ModelWorld models → Embodied and robot world models +1
  64. HoloBrain-0 Technical ReportVision-language-action models → Generalist VLA models and benchmarks
  65. LawThinker: A Deep Research Legal Agent in Dynamic EnvironmentsLLM reasoning → Reasoning for agents, planning and code
  66. Fourier Transformers for Latent Crystallographic Diffusion and Generative ModelingDiffusion models → Flow matching, time series and science
  67. PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated ServingEfficient LLM inference and serving → Serving systems and request scheduling
  68. Protein Circuit Tracing via Cross-layer TranscodersMechanistic interpretability → Interpreting biomedical and science models
  69. InjectRBP: Steering Large Language Model Reasoning Behavior via Pattern InjectionLLM reasoning → Test-time compute and efficient thinking
  70. Can Local Vision-Language Models improve Activity Recognition over Vision Transformers? -- Case Study on Newborn ResuscitationMultimodal LLMs / vision-language models → Medical vision-language models
  71. Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents?LLM agents and tool use → Software engineering coding agents
  72. Spatial Chain-of-Thought: Bridging Understanding and Generation Models for Spatial Reasoning GenerationLLM reasoning → Multimodal reasoning +1
  73. Accelerating Robotic Reinforcement Learning with Agent GuidanceDeep reinforcement learning methods → RL for robot locomotion and manipulation
  74. Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous EnvironmentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  75. Wisdom of the LLM Crowd: A Large Scale Benchmark of Multi-Label U.S. Election-Related Harmful Social Media ContentLLM safety and security → Safety alignment, refusal and guardrails
  76. Benchmarking Vision-Language Models for French PDF-to-Markdown ConversionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  77. Synthesis of Late Gadolinium Enhancement Images via Implicit Neural Representations for Cardiac Scar SegmentationDiffusion models → Medical imaging and segmentation
  78. Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS AccelerationLLM reasoning → Test-time compute and efficient thinking +1
  79. AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model SelectionLLM reasoning → Reasoning for agents, planning and code +1
  80. TADA! Tuning Audio Diffusion Models through Activation SteeringDiffusion models → Audio, speech and music +1
  81. Echo: Towards Advanced Audio Comprehension via Audio-Interleaved ReasoningLLM reasoning → Audio-language model reasoning
  82. Mitigating Mismatch within Reference-based Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  83. Agentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable AutonomyLLM agents and tool use → Agent threats, guardrails and governance
  84. Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial ReasoningWorld models → World models for language agents +1
  85. From Atoms to Trees: Building a Structured Feature Forest with Hierarchical Sparse AutoencodersMechanistic interpretability → SAE features and their applications
  86. DiffPlace: Street View Generation via Place-Controllable Diffusion Model Enhancing Place RecognitionDiffusion models → Diffusion and flow policies for robotics
  87. LAMP: Implicit Language Map for Robot NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  88. Talk2DM: Enabling Natural Language Querying and Commonsense Reasoning for Vehicle-Road-Cloud Integrated Dynamic Maps with Large Language ModelsLLM reasoning → Chain-of-thought reasoning for driving
  89. Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal PerceptionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  90. Free Lunch for Stabilizing Rectified Flow InversionDiffusion models → Image generation, text-to-image and editing
  91. JEPA-VLA: Video Predictive Embedding is Needed for VLA ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  92. Revis: Sparse Latent Steering to Mitigate Object Hallucination in Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  93. Predicting LLM Output Length via Entropy-Guided RepresentationsEfficient LLM inference and serving → Serving systems and request scheduling
  94. Deep Kernel Fusion for TransformersLLM agents and tool use → Software engineering coding agents
  95. PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather ForecastsDiffusion models → Flow matching, time series and science
  96. From Path Signatures to Sequential Modeling: Incremental Signature Contributions for Offline RLOffline RL and imitation learning from data → Decision transformers and sequence modeling
  97. Temporal Difference Learning with Constrained Initial RepresentationsDeep reinforcement learning methods → Deep RL algorithms and representations
  98. More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark EnsemblesLLM safety and security → Watermarking generated content and models
  99. Detecting RLVR Training Data via Structural Convergence of ReasoningLLM reasoning → Reinforcement learning for reasoning
  100. Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video GenerationLLM agents and tool use → Multimodal and embodied agents
All 446
  1. Evaluating LLM Safety Under Repeated Inference via Accelerated Prompt Stress TestingLLM safety and security → Safety alignment, refusal and guardrails
  2. FlowMind: Execute-Summarize for Structured Workflow Generation from LLM ReasoningLLM reasoning → Reasoning for agents, planning and code
  3. Light4D: Training-Free Extreme Viewpoint 4D Video RelightingDiffusion models → 3D, point cloud and scene generation
  4. TSR: Trajectory-Search Rollouts for Multi-Turn RL of LLM AgentsLLM agents and tool use → Reinforcement learning for LLM agents
  5. HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World ModelWorld models → Humanoid and legged locomotion world models
  6. Cooperation Breakdown in LLM Agents Under Communication DelaysLLM agents and tool use → General LLM agent frameworks and benchmarks
  7. Building Intelligent User Interfaces for Human-AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  8. AmbiBench: Benchmarking Mobile GUI Agents Beyond One-Shot Instructions in the WildLLM agents and tool use → GUI and mobile agents
  9. AIR: Improving Agent Safety through Incident ResponseLLM agents and tool use → Agent threats, guardrails and governance
  10. Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking +1
  11. Adaptive Debiasing Tsallis Entropy for Test-Time AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  12. Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  13. AC-MASAC: An Attentive Curriculum Learning Framework for Heterogeneous UAV Swarm CoordinationDeep reinforcement learning methods → RL for robot navigation and UAV control
  14. Adapting Vision-Language Models for E-commerce Understanding at ScaleMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  15. Thinking with Drafting: Optical Decompression via Logical ReconstructionLLM reasoning → Multimodal reasoning +1
  16. STVG-R1: Incentivizing Instance-Level Reasoning and Grounding in Videos via Reinforcement LearningLLM reasoning → Multimodal reasoning +1
  17. WebTestPilot: Agentic End-to-End Web Testing against Natural Language Specification by Inferring Oracles with Symbolized GUI ElementsLLM agents and tool use → Software engineering coding agents
  18. Estimation of instrument and noise parameters for inverse problem based on prior diffusion modelDiffusion models → Inverse problems and image restoration
  19. Semantically Conditioned Diffusion Models for Cerebral DSA SynthesisDiffusion models → Medical imaging and segmentation
  20. GORGO: Online Tuning for Cross-Region Network-Aware LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
  21. LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
  22. ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete SpacesLLM reasoning → Test-time compute and efficient thinking
  23. Provable Offline Reinforcement Learning for Structured Cyclic MDPsOffline RL and imitation learning from data → Offline RL algorithms
  24. Beyond Pixels: Vector-to-Graph Transformation for Reliable Schematic AuditingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  25. Epistemic Regret Minimization: Label-Free Causal Critique Beyond Outcome RewardLLM reasoning → Causal reasoning in LLMs
  26. RI-Mamba: Rotation-Invariant Mamba for Robust Text-to-Shape RetrievalState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  27. PhyNiKCE: A Neurosymbolic Agentic Framework for Autonomous Computational Fluid DynamicsLLM agents and tool use → Web, search, and research agents
  28. Quark Medical Alignment: A Holistic Multi-Dimensional Alignment and Collaborative Optimization ParadigmLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  29. SToRM: Supervised Token Reduction for Multi-modal LLMs toward efficient end-to-end autonomous drivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
  30. GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET ReconstructionDiffusion models → Medical imaging and segmentation
  31. PACE: Prefix-Protected and Difficulty-Aware Compression for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
  32. ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  33. Do MLLMs Really Understand Space? A Mathematical Reasoning EvaluationLLM reasoning → Spatial and embodied reasoning +1
  34. Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-ExpertsMixture-of-experts → Vision mixture-of-experts
  35. When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  36. scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and DiscoveryLLM reasoning → Clinical and biomedical applications
  37. MAPLE: Modality-Aware Post-training and Learning EcosystemMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  38. Learn from Your Mistakes: Self-Correcting Masked Diffusion ModelsDiffusion models → Discrete and text diffusion
  39. The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMsLLM agents and tool use → General LLM agent frameworks and benchmarks
  40. Learning to Configure Agentic AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  41. LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency ExpertsDiffusion models → Video generation
  42. SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search AgentLLM agents and tool use → Web, search, and research agents +1
  43. Native Reasoning Models: Training Language Models to Reason on Unverifiable DataLLM reasoning → Reinforcement learning for reasoning
  44. TC-BiMamba: Trans-Chunk bidirectionally within BiMamba for unified streaming and non-streaming ASRState-space sequence models (S4, Mamba) → Speech and audio SSMs
  45. Supervise-assisted Multi-modality Fusion Diffusion Model for PET RestorationDiffusion models → Medical imaging and segmentation
  46. Pretraining A Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized ParadigmMixture-of-experts → Efficient MoE training and inference systems
  47. Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool UseLLM agents and tool use → Tool learning and function calling
  48. PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
  49. Adaptive Milestone Reward for GUI AgentsLLM agents and tool use → GUI and mobile agents +1
  50. Unifying Stable Optimization and Reference Regularization in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  51. PAM: Processing Across Memory Hierarchy for Efficient KV-centric LLM Serving SystemEfficient LLM inference and serving → KV cache optimization
  52. Human-Inspired Continuous Learning of Internal Reasoning Processes: Learning How to Think for Adaptive AI SystemsLLM reasoning → Test-time compute and efficient thinking
  53. AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance
  54. Multimodal Fact-Level Attribution for Verifiable ReasoningLLM reasoning → Multimodal reasoning +1
  55. What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through GenerationLLM reasoning → Multimodal reasoning +2
  56. Jailbreaking Leaves a Trace: Understanding and Detecting Jailbreak Attacks from Internal Representations of Large Language ModelsLLM safety and security → Jailbreaking +1
  57. SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech SynthesisDiffusion models → Audio, speech and music
  58. EasyMimic: A Low-Cost Framework for Robot Imitation Learning from Human VideosOffline RL and imitation learning from data → Robot manipulation imitation learning
  59. Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM ReasoningLLM reasoning → Multimodal reasoning +1
  60. From Noise to Order: Learning to Rank via Denoising DiffusionDiffusion models → Discrete and text diffusion
  61. IMAGAgent: Orchestrating Multi-Turn Image Editing via Constraint-Aware Planning and Reflection
  62. Your Robot Will Feel You Now: Empathy in Robots and Embodied Agents
  63. Quantifying Hallucinations in Language Language Models on Medical Textbooks
  64. The Dunning-Kruger Effect in Large Language Models: An Empirical Study of Confidence Calibration
  65. An Efficient Hybrid Deep Learning Approach for Detecting Online Abusive Language
  66. ALADIN: Accuracy-Latency-Aware Design-space Inference Analysis for Embedded AI Accelerators
  67. The Value Sensitivity Gap: How Clinical Large Language Models Respond to Patient Preference Statements in Shared Decision-Making
  68. Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem
  69. Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries
  70. Spectral Homogenization of the Radiative Transfer Equation via Low-Rank Tensor Train Decomposition
  71. Reconstructing Carbon Monoxide Reanalysis with Machine Learning
  72. A Formal Framework for the Explanation of Finite Automata Decisions
  73. Detecting Brick Kiln Infrastructure at Scale: Graph, Foundation, and Remote Sensing Models for Satellite Imagery Data
  74. From Prompt to Production:Automating Brand-Safe Marketing Imagery with Text-to-Image Models
  75. Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset
  76. CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis
  77. BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents
  78. An Integrated Causal Inference Framework for Traffic Safety Modeling with Semantic Street-View Visual Features
  79. Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
  80. Modeling The Object Representations Underlying Human Physical Reasoning
  81. A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification
  82. Geometric separation and constructive universal approximation with two hidden layers
  83. Task- and Metric-Specific Signal Quality Indices for Medical Time Series
  84. Not a Silver Bullet for Loneliness: How Attachment and Age Shape Intimacy with AI Companions
  85. Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
  86. Designing RNAs with Language Models
  87. Regularized Meta-Learning for Improved Generalization
  88. Probabilistic Design of Parametrized Quantum Circuits through Local Gate Modifications
  89. Correctness, Artificial Intelligence, and the Epistemic Value of Mathematical Proof
  90. Semantic-aware Adversarial Fine-tuning for CLIP
  91. Computationally sufficient statistics for Ising models
  92. RBCorr: Response Bias Correction in Language Models
  93. Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction
  94. Neural and numerical methods for G2-structures on contact Calabi-Yau 7-manifolds
  95. Stabilizing Native Low-Rank LLM Pretraining
  96. Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization
  97. RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
  98. Intent-Driven Smart Manufacturing Integrating Knowledge Graphs and Large Language Models
  99. propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
  100. Soft Contamination Means Benchmarks Test Shallow Generalization
  101. Proceedings for the Inaugural Meeting of the International Society for Tractography -- IST 2025 Bordeaux
  102. MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery
  103. ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning
  104. Synthetic Interaction Data for Scalable Personalization in Large Language Models
  105. High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions
  106. Rational Neural Networks have Expressivity Advantages
  107. Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting
  108. Accelerating Feedback-based Algorithms for Quantum Optimization Using Gradient Descent
  109. Provably Convergent Actor-Critic for MARL through Risk-aversion
  110. Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
  111. Synthetic Image Detection with CLIP: Understanding and Assessing Predictive Cues
  112. TFT-ACB-XML: Decision-Level Integration of Customized Temporal Fusion Transformer and Attention-BiLSTM with XGBoost Meta-Learner for BTC Price Forecasting
  113. Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
  114. Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
  115. LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens
  116. A Machine Learning Approach to the Nirenberg Problem
  117. Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring
  118. A Theoretical Framework for Adaptive Utility-Weighted Benchmarking
  119. LongNav-R1: Horizon-Adaptive Multi-Turn RL for Long-Horizon VLA Navigation
  120. Variational Green's Functions for Volumetric PDEs
  121. Intrinsic Credit Assignment for Long Horizon Interaction
  122. The Appeal and Reality of Recycling LoRAs with Adaptive Merging
  123. Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
  124. GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
  125. LatentAM: Real-Time, Large-Scale Latent Gaussian Attention Mapping via Online Dictionary Learning
  126. Visible and Hyperspectral Imaging for Quality Assessment of Milk: Property Characterisation and Identification
  127. Quantum walk inspired JPEG compression of images
  128. OptiML: An End-to-End Framework for Program Synthesis and CUDA Kernel Optimization
  129. OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model
  130. Stroke of Surprise: Progressive Semantic Illusions in Vector Sketching
  131. Learning to Control: The iUzawa-Net for Nonsmooth Optimal Control of Linear PDEs
  132. Creative Ownership in the Age of AI
  133. Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data
  134. On the implicit regularization of Langevin dynamics with projected noise
  135. Is Online Linear Optimization Sufficient for Strategic Robustness?
  136. A technical curriculum on language-oriented artificial intelligence in translation and specialised communication
  137. Community Concealment from Graph Neural Networks
  138. "Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most
  139. ExtractBench: A Benchmark and Evaluation Methodology for Complex Structured Extraction
  140. Intrinsic-Energy Joint Embedding Predictive Architectures Induce Quasimetric Spaces
  141. Moonshine v2: Ergodic Streaming Encoder ASR for Latency-Critical Speech Applications
  142. Olmix: A Framework for Data Mixing Throughout LM Development
  143. Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
  144. Two-Sided Time-Independent Regret for Matching Markets with Limited Interviews
  145. Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training
  146. VIRENA: Virtual Arena for Research, Education, and Democratic Innovation
  147. DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing
  148. Learning to Forget Attention: Memory Consolidation for Adaptive Compute Reduction
  149. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images
  150. Query-focused and Memory-aware Reranker for Long Context Processing
  151. WaveFormer: Wavelet Embedding Transformer for Biomedical Signals
  152. SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization
  153. EO-VAE: Towards A Multi-sensor Tokenizer for Earth Observation Data
  154. SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation
  155. Statistical Parsing for Logical Information Retrieval
  156. Amortized Molecular Optimization via Group Relative Policy Optimization
  157. DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation
  158. dVoting: Fast Voting for dLLMs
  159. GPT-4o Lacks Core Features of Theory of Mind
  160. It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
  161. Oscillators Are All You Need: Irregular Time Series Modelling via Damped Harmonic Oscillators with Closed-Form Solutions
  162. CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes
  163. Neutral Prompts, Non-Neutral People: Quantifying Gender and Skin-Tone Bias in Gemini Flash 2.5 Image and GPT Image 1.5
  164. A Rule-based Computational Model for Gaidhlig Morphology
  165. Towards Personalized Bangla Book Recommendation: A Large-Scale Heterogeneous Book Graph Dataset
  166. HLA: Hadamard Linear Attention
  167. PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback
  168. Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
  169. Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning
  170. KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite
  171. Few-Shot Design Optimization by Exploiting Auxiliary Information
  172. The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
  173. Iskra: A System for Inverse Geometry Processing
  174. AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
  175. Multi Graph Search for High-Dimensional Robot Motion Planning
  176. DeepSight: An All-in-One LM Safety Toolkit
  177. Empirical Gaussian Processes
  178. PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories
  179. ModelWisdom: An Integrated Toolkit for TLA+ Model Visualization, Digest and Repair
  180. Multi UAVs Preflight Planning in a Shared and Dynamic Airspace
  181. Improving HPC Code Generation Capability of LLMs via Online Reinforcement Learning with Real-Machine Benchmark Rewards
  182. Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
  183. A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments
  184. Improved Inference for CSDID Using the Cluster Jackknife
  185. The Implicit Bias of Logit Regularization
  186. An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
  187. Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
  188. Decomposition of Spillover Effects Under Misspecification: Pseudo-true Estimands and a Local-Global Extension
  189. Improved state mixing in higher-order and block diagonal linear recurrent networks
  190. Artificial intelligence is creating a new global linguistic hierarchy
  191. Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study
  192. FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client
  193. On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy
  194. LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss
  195. CSEval: A Framework for Evaluating Clinical Semantics in Text-to-Image Generation
  196. Projected Representation Conditioning for High-fidelity Novel View Synthesis
  197. Momentum LMS Theory beyond Stationarity: Stability, Tracking, and Regret
  198. Automatic Simplification of Common Vulnerabilities and Exposures Descriptions
  199. Confidence-Uncertainty Boundary Calibration for Bayesian Deep Learning in Medical Image Analysis
  200. UPDA: Unsupervised Progressive Domain Adaptation for No-Reference Point Cloud Quality Assessment
  201. DHPLT: large-scale multilingual diachronic corpora and word representations for semantic change modelling
  202. Parameter-Efficient Temporal Domain Generalization
  203. Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models
  204. RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State
  205. Are Two LLMs Better Than One? A Student-Teacher Dual-Head LLMs Architecture for Pharmaceutical Content Optimization
  206. TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
  207. Insights on Muon from Simple Quadratics
  208. Change-Point Detection via Piecewise Linear Fitting Using MIP
  209. Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios
  210. Using predictive multiplicity to measure individual performance within the AI Act
  211. IncompeBench: A Permissively Licensed, Fine-Grained Benchmark for Music Information Retrieval
  212. Temporally Unified Adversarial Perturbations for Time Series Forecasting
  213. Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
  214. Who is the richest club in the championship? Detecting and Rewriting Underspecified Questions Improve QA Performance
  215. Cross-Modal Robustness Transfer (CMRT): Training Robust Speech Translation Models Using Adversarial Text
  216. Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making
  217. Learning Conditional Averages
  218. DynaHOI: Benchmarking Hand-Object Interaction for Dynamic Target
  219. MEME: Modeling the Evolutionary Modes of Financial Markets
  220. AlphaPROBE: Alpha Mining via Principled Retrieval and On-graph biased evolution
  221. When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
  222. Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation
  223. Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals
  224. Benchmark Illusion: Disagreement among LLMs and Its Scientific Consequences
  225. Universal Diffusion-Based Probabilistic Downscaling
  226. LLM-based Triplet Extraction from Financial Reports
  227. SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
  228. Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
  229. DMAP: A Distribution Map for Text
  230. Intelligent AI Delegation
  231. In-Context Function Learning in Large Language Models
  232. A2V-SLP: Alignment-Aware Variational Modeling for Disentangled Sign Language Production
  233. Scale-Invariant Fast Convergence in Games
  234. Robust Optimization Approach and Learning Based Hide-and-Seek Game for Resilient Network Design
  235. Prototype Transformer: Towards Language Model Architectures Interpretable by Design
  236. Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks
  237. WorldTree: Towards 4D Dynamic Worlds from Monocular Video using Tree-Chains
  238. Improving Neural Retrieval with Attribution-Guided Query Rewriting
  239. ULTRA:Urdu Language Transformer-based Recommendation Architecture
  240. EqDeepRx: Learning a Scalable and Interference Mitigating MIMO Receiver
  241. Towards Sustainable Investment Policies Informed by Opponent Shaping
  242. CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression
  243. A Comparative Study of MAP and LMMSE Estimators for Blind Inverse Problems
  244. How to Sample High Quality 3D Fractals for Action Recognition Pre-Training?
  245. Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data
  246. Structural Bias Beyond Homophily: A Study of Fairness in Link Prediction
  247. SpaTeoGL: Spatiotemporal Graph Learning for Interpretable Seizure Onset Zone Analysis from Intracranial EEG
  248. Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation
  249. A Subword Embedding Approach for Variation Detection in Luxembourgish User Comments
  250. Latent-Variable Learning of SPDEs via Wiener Chaos
  251. Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance
  252. Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective
  253. RELATE: A Reinforcement Learning-Enhanced LLM Framework for Advertising Text Generation
  254. Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning
  255. MUSE: Multi-Tenant Model Serving With Seamless Model Updates
  256. How to Optimize Multispecies Set Predictions in Presence-Absence Modeling ?
  257. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
  258. Aggregate Models, Not Explanations: Improving Feature Importance Estimation
  259. TUBO: A Tailored ML Framework for Reliable Network Traffic Forecasting
  260. Code2Worlds: Empowering Coding LLMs for 4D World Generation
  261. High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
  262. Text2GraphQuery-Bench: A Text to Graph Query Benchmark
  263. U-Former ODE: Fast Probabilistic Forecasting of Irregular Time Series
  264. Cross-Architecture Model Diffing with Crosscoders: Unsupervised Discovery of Differences Between LLMs
  265. Dopamine: Brain Modes, Not Brains
  266. PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
  267. Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging
  268. DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels
  269. GSO-SLAM: Bidirectionally Coupled Gaussian Splatting and Direct Visual Odometry
  270. Potential-energy gating for robust state estimation in bistable stochastic systems
  271. LLM-Driven 3D Scene Generation of Agricultural Simulation Environments
  272. TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction
  273. U-DAVI: Uncertainty-Aware Diffusion-Prior-Based Amortized Variational Inference for Image Reconstruction
  274. TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
  275. Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models
  276. SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion
  277. OMEGA-Avatar: One-shot Modeling of 360deg Gaussian Avatars
  278. ANML: Attribution-Native Machine Learning with Guaranteed Robustness
  279. DRACO: a Cross-Domain Benchmark for Deep Research Accuracy, Completeness, and Objectivity
  280. PatientHub: A Unified Framework for Patient Simulation
  281. Benchmark Health Index: A Systematic Framework for Benchmarking the Benchmarks of LLMs
  282. U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Prediction
  283. Egocentric Gaze Estimation via Neck-Mounted Camera
  284. Explainable Machine-Learning based Detection of Knee Injuries in Runners
  285. Fully First-Order Algorithms for Online Bilevel Optimization
  286. UMAP Is Spectral Clustering on the Fuzzy Nearest-Neighbor Graph
  287. Clutt3R-Seg: Sparse-view 3D Instance Segmentation for Language-grounded Grasping in Cluttered Scenes
  288. EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes
  289. LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection
  290. DMind-3: A Sovereign Edge--Local--Cloud AI System with Controlled Deliberation and Correction-Based Tuning for Safe, Low-Latency Transaction Execution
  291. Investigating Learner-Aware Design of LLM-Generated Educational Feedback
  292. Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks
  293. ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning
  294. Electrostatics-Inspired Surface Reconstruction (EISR): Recovering 3D Shapes as a Superposition of Poisson's PDE Solutions
  295. Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs
  296. Variation-aware Flexible 3D Gaussian Editing
  297. TIP: Resisting Gradient Inversion via Targeted Interpretable Perturbation in Federated Learning
  298. Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
  299. Neuro-Symbolic Multitasking: A Unified Framework for Discovering Generalizable Solutions to PDE Families
  300. GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
  301. PLESS: Pseudo-Label Enhancement with Spreading Scribbles for Weakly Supervised Segmentation
  302. ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning
  303. PLOT-CT: Pre-log Voronoi Decomposition Assisted Generation for Low-dose CT Reconstruction
  304. TreeGrad-Ranker: Feature Ranking via O(L)-Time Gradients for Decision Trees
  305. How Well Do Large-Scale Chemical Language Models Transfer to Downstream Tasks?
  306. SkillRater: Untangling Capabilities in Multimodal Data
  307. Scene-Aware Memory Discrimination: Deciding Which Personal Knowledge Stays
  308. ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
  309. A Large Language Model for Disaster Structural Reconnaissance Summarization
  310. Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization
  311. Analytical Search
  312. ReaDy-Go: Real-to-Sim Dynamic 3D Gaussian Splatting Simulation for Environment-Specific Visual Navigation with Moving Obstacles
  313. PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering
  314. SemaPop: Semantic-Persona Conditioned and Controllable Population Synthesis
  315. Move What Matters: Parameter-Efficient Domain Adaptation via Optimal Transport Flow for Collaborative Perception
  316. Brain4FMs: A Benchmark of Foundation Models for Electrical Brain Signal
  317. The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
  318. HyperDet: 3D Object Detection with Hyper 4D Radar Point Clouds
  319. Perception-based Image Denoising via Generative Compression
  320. TS-Memory: Plug-and-Play Memory for Time Series Foundation Models
  321. Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling
  322. Vascular anatomy-aware self-supervised pre-training for X-ray angiogram analysis
  323. Krause Synchronization Transformers
  324. AltTS: A Dual-Path Framework with Alternating Optimization for Multivariate Time Series Forecasting
  325. Stop Tracking Me! Proactive Defense Against Attribute Inference Attack in LLMs
  326. CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference
  327. Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
  328. Calibration and Evaluation of Car-Following Models for Autonomous Shuttles Using a Novel Multi-Criteria Framework
  329. How Smart Is Your GUI Agent? A Framework for the Future of Software Interaction
  330. Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt
  331. RooflineBench: A Benchmarking Framework for On-Device LLMs via Roofline Analysis
  332. Calibrating an Imperfect Auxiliary Predictor for Unobserved No-Purchase Choice
  333. A Generic Framework for Fair Consensus Clustering in Streams
  334. Partial GFlowNet: Accelerating Convergence in Large State Spaces via Strategic Partitioning
  335. Arbitrary Ratio Feature Compression via Next Token Prediction
  336. Exploring Multiple High-Scoring Subspaces in Generative Flow Networks
  337. When Audio-LLMs Don't Listen: A Cross-Linguistic Study of Modality Arbitration
  338. Understanding Persuasive Interactions between Generative Social Agents and Humans: The Knowledge-based Persuasion Model (KPM)
  339. External Division of Two Bregman Proximity Operators for Poisson Inverse Problems
  340. Compiler-Guided Inference-Time Adaptation: Improving GPT-5 Programming Performance in Idris
  341. PRISM: A 3D Probabilistic Neural Representation for Interpretable Shape Modeling
  342. A Dual-Branch Framework for Semantic Change Detection with Boundary and Temporal Awareness
  343. Assessing Low Back Movement with Motion Tape Sensor Data Through Deep Learning
  344. EM-Aware Physical Synthesis: Neural Inductor Modeling and Intelligent Placement & Routing for RF Circuits
  345. ADRD-Bench: A Preliminary LLM Benchmark for Alzheimer's Disease and Related Dementias
  346. Adaptive Power Iteration Method for Differentially Private PCA