mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 12 Feb 2024

275 papers

  1. Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse PromptsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  2. PANORAMIA: Privacy Auditing of Machine Learning Models without RetrainingLLM safety and security → Membership inference attacks
  3. Rolling Diffusion ModelsDiffusion models → Flow matching, time series and science
  4. Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple InputsMechanistic interpretability → Circuits and mechanistic analysis
  5. On the Self-Verification Limitations of Large Language Models on Reasoning and Planning TasksLLM reasoning → Test-time compute and efficient thinking
  6. Active Preference Learning for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  7. A Competition Winning Deep Reinforcement Learning Agent in microRTSDeep reinforcement learning methods → RL for robot locomotion and manipulation
  8. Convergence Analysis of Discrete Diffusion Model: Exact Implementation through UniformizationDiffusion models → Diffusion foundations and sampling
  9. Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian probability distributionsDiffusion models → Diffusion foundations and sampling
  10. Large Language Models as Agents in Two-Player GamesLLM agents and tool use → Reinforcement learning for LLM agents +1
  11. Beyond LLMs: Advancing the Landscape of Complex ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  12. Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  13. Nearest Neighbour Score Estimators for Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  14. Lumos : Empowering Multimodal LLMs with Scene Text RecognitionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  15. Refined Direct Preference Optimization with Synthetic Data for Behavioral Alignment of LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  16. Suppressing Pink Elephants with Direct Principle FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  17. Policy Improvement using Language Feedback ModelsOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  18. Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial StatesDeep reinforcement learning methods → RL for games and combinatorial optimization
  19. PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMsLLM reasoning → Spatial and embodied reasoning +1
  20. Scaling Laws for Fine-Grained Mixture of ExpertsMixture-of-experts → MoE large language models
  21. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
  22. Lissard: Long and Simple Sequential Reasoning DatasetsLLM reasoning → Reasoning benchmarks and evaluation
  23. Generative Modeling of Discrete Joint Distributions by E-Geodesic Flow Matching on Assignment ManifoldsDiffusion models → Flow matching, time series and science
  24. Do Membership Inference Attacks Work on Large Language Models?LLM safety and security → Membership inference attacks
  25. Retrieval Augmented Thought Process for Private Data Handling in HealthcareLLM reasoning → Clinical and biomedical applications +1
  26. Towards a mathematical theory for consistency training in diffusion modelsDiffusion models → Diffusion foundations and sampling
  27. IR-Aware ECO Timing Optimization Using Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  28. Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation ModelLLM reasoning → Prompting and chain-of-thought reasoning
  29. Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
  30. Towards Unified Alignment Between Agents, Humans, and EnvironmentLLM agents and tool use → General LLM agent frameworks and benchmarks
  31. Model Collapse Demystified: The Case of RegressionSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  32. OrderBkd: Textual backdoor attack through repositioningLLM safety and security → Backdoor and data poisoning attacks
  33. CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity KnowledgeRetrieval-augmented generation → Privacy and security of RAG
  34. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  35. Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via BootstrappingSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
  36. Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative ModelDeep reinforcement learning methods → RL theory and sample complexity
  37. Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human FeedbackDiffusion models → Inverse problems and image restoration
  38. Efficient and Universal Watermarking for LLM-Generated Code DetectionLLM safety and security → Watermarking generated content and models
  39. Secret Collusion among AI Agents: Multi-Agent Deception via SteganographyLLM agents and tool use → Agent threats, guardrails and governance
  40. Score-based Diffusion Models via Stochastic Differential Equations -- a Technical TutorialDiffusion models → Diffusion foundations and sampling
  41. OS-Copilot: Towards Generalist Computer Agents with Self-ImprovementLLM agents and tool use → GUI and mobile agents +1
  42. Game Agent Driven by Free-Form Text Command: Using LLM-based Code Generation and Behavior BranchLLM agents and tool use → Reinforcement learning for LLM agents
  43. An Empirical Study Into What Matters for Calibrating Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  44. Auxiliary Reward Generation with Transition Distance Representation LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  45. Potential-Based Reward Shaping For Intrinsic MotivationDeep reinforcement learning methods → Deep RL algorithms and representations
  46. Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent DebateLLM agents and tool use → Web, search, and research agents
  47. VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction OptimizationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  48. Exploring Perceptual Limitation of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  49. Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion modelsDiffusion models → Medical imaging and segmentation
  50. Measurement Scheduling for ICU Patients with Offline Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
  51. The Physics of Learning: From Autoencoders to Truly Autonomous Learning Machines
  52. Queuing dynamics of asynchronous Federated Learning
  53. Contrastive Learning for Regression on Hyperspectral Data
  54. Temporal-Spatial Processing of Event Camera Data via Delay-Loop Reservoir Neural Network
  55. Tailoring Education with GenAI: A New Horizon in Lesson Planning
  56. Fairness Evaluation for Uplift Modeling in the Absence of Ground Truth
  57. Do Weibo platform experts perform better at predicting stock market?
  58. Stochastic contextual bandits with graph feedback: from independence number to MAS number
  59. EvoGPT-f: An Evolutionary GPT Framework for Benchmarking Formal Math Languages
  60. Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced
  61. AI-Enabled Lung Cancer Prognosis
  62. Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals
  63. One-for-many Counterfactual Explanations by Column Generation
  64. Machine Learning for Stochastic Parametrisation
  65. Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT
  66. Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors
  67. Inference Stage Denoising for Undersampled MRI Reconstruction
  68. On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era
  69. Recursive Joint Simulation in Games
  70. Efficient Contextual Bandits with Uninformed Feedback Graphs
  71. Contextual Multinomial Logit Bandits with General Value Functions
  72. Customizable Perturbation Synthesis for Robust SLAM Benchmarking
  73. Unmasking honey adulteration : a breakthrough in quality assurance through cutting-edge convolutional neural network analysis of thermal images
  74. A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis
  75. Addressing cognitive bias in medical language models
  76. From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations
  77. Finding Moving-Band Statistical Arbitrages via Convex-Concave Optimization
  78. Mirror Descent-Ascent for mean-field min-max problems
  79. Learning Cartesian Product Graphs with Laplacian Constraints
  80. Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
  81. Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
  82. An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
  83. An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
  84. BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
  85. Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
  86. Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
  87. Text-centric Alignment for Multi-Modality Learning
  88. Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning
  89. Diffeomorphic Measure Matching with Kernels for Generative Modeling
  90. Efficient and Scalable Fine-Tune of Language Models for Genome Understanding
  91. Grounding Data Science Code Generation with Input-Output Specifications
  92. Enhancing Programming Error Messages in Real Time with Generative AI
  93. Multi-Attribute Vision Transformers are Efficient and Robust Learners
  94. Locality Sensitive Hashing for Network Traffic Fingerprinting
  95. Avoiding Catastrophe in Online Learning by Asking for Help
  96. MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning
  97. Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning
  98. Why and When LLM-Based Assistants Can Go Wrong: Investigating the Effectiveness of Prompt-Based Interactions for Software Help-Seeking
  99. Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing
  100. UGMAE: A Unified Framework for Graph Masked Autoencoders
All 275
  1. Careless Whisper: Speech-to-Text Hallucination Harms
  2. Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets
  3. Online Differentially Private Synthetic Data Generation
  4. Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
  5. Extending 3D body pose estimation for robotic-assistive therapies of autistic children
  6. Improvement and generalization of ABCD method with Bayesian inference
  7. NetInfoF Framework: Measuring and Exploiting Network Usable Information
  8. Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity Search
  9. SPO: Sequential Monte Carlo Policy Optimisation
  10. FAST: Factorizable Attention for Speeding up Transformers
  11. Wavefront Randomization Improves Deconvolution
  12. A systematic investigation of learnability from single child linguistic input
  13. Detection of Spider Mites on Labrador Beans through Machine Learning Approaches Using Custom Datasets
  14. MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO
  15. Label-Efficient Model Selection for Text Generation
  16. MAIDCRL: Semi-centralized Multi-Agent Influence Dense-CNN Reinforcement Learning
  17. Using Graph Theory for Improving Machine Learning-based Detection of Cyber Attacks
  18. WildfireGPT: Tailored Large Language Model for Wildfire Analysis
  19. Nesting Particle Filters for Experimental Design in Dynamical Systems
  20. Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
  21. AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy
  22. On the Detection of Reviewer-Author Collusion Rings From Paper Bidding
  23. Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment
  24. Comparing skill of historical rainfall data based monsoon rainfall prediction in India with NWP forecasts
  25. Unsupervised Optimisation of GNNs for Node Clustering
  26. Mercury: A Code Efficiency Benchmark for Code Large Language Models
  27. Towards Meta-Pruning via Optimal Transport
  28. Generalizing across Temporal Domains with Koopman Operators
  29. Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
  30. Understanding fitness landscapes in morpho-evolution via local optima networks
  31. On Computationally Efficient Multi-Class Calibration
  32. A Benchmark Grocery Dataset of Realworld Point Clouds From Single View
  33. Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning
  34. Injecting Wiktionary to improve token-level contextual representations using contrastive learning
  35. PBADet: A One-Stage Anchor-Free Approach for Part-Body Association
  36. Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
  37. Generalising Planning Environment Redesign
  38. Tuning-Free Stochastic Optimization
  39. Empowering Federated Learning for Massive Models with NVIDIA FLARE
  40. From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration
  41. Multi-Intent Attribute-Aware Text Matching in Searching
  42. Extensible Multi-Granularity Fusion Network and Transferable Curriculum Learning for Aspect-based Sentiment Analysis
  43. HYPO: Hyperspherical Out-of-Distribution Generalization
  44. TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
  45. End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
  46. Had enough of experts? Quantitative knowledge retrieval from large language models
  47. Text Detoxification as Style Transfer in English and Hindi
  48. Multi-level Optimal Control with Neural Surrogate Models
  49. Scalable Structure Learning for Sparse Context-Specific Systems
  50. Mixed Q-Functionals: Advancing Value-Based Methods in Cooperative MARL with Continuous Action Domains
  51. Optimal score estimation via empirical Bayes smoothing
  52. Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
  53. Predictive Churn with the Set of Good Models
  54. Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search
  55. Task-conditioned adaptation of visual features in multi-task policy learning
  56. Universal Link Predictor By In-Context Learning on Graphs
  57. Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism
  58. AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension
  59. Unsupervised Sign Language Translation and Generation
  60. Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
  61. LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
  62. Computationally efficient reductions between some statistical models
  63. Optimizing Sparse Convolution on GPUs with CUDA for 3D Point Cloud Processing in Embedded Systems
  64. Signed Distance Field based Segmentation and Statistical Shape Modelling of the Left Atrial Appendage
  65. Online Sequential Decision-Making with Unknown Delays
  66. Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
  67. Contrastive Multiple Instance Learning for Weakly Supervised Person ReID
  68. Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks
  69. Auxiliary Tasks to Boost Biaffine Semantic Dependency Parsing
  70. Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?
  71. AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer
  72. GBOT: Graph-Based 3D Object Tracking for Augmented Reality-Assisted Assembly Guidance
  73. The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models
  74. Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models
  75. A Flow-based Credibility Metric for Safety-critical Pedestrian Detection
  76. Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
  77. Tighter Bounds on the Information Bottleneck with Application to Deep Learning
  78. Compressive Recovery of Signals Defined on Perturbed Graphs
  79. Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles
  80. Complete Instances Mining for Weakly Supervised Instance Segmentation
  81. Understanding the Effects of Miscalibrated AI Confidence on User Trust, Reliance, and Decision Efficacy
  82. Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
  83. Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
  84. Correctness Verification of Neural Networks Approximating Differential Equations
  85. Developing a Multi-variate Prediction Model For COVID-19 From Crowd-sourced Respiratory Voice Data
  86. Anchor-based Large Language Models
  87. Global optimality under amenable symmetry constraints
  88. Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription
  89. Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
  90. Zero-shot Imputation with Foundation Inference Models for Dynamical Systems
  91. Understanding Model Selection For Learning In Strategic Environments
  92. Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning
  93. Identifying architectural design decisions for achieving green ML serving
  94. Topic Modeling as Multi-Objective Contrastive Optimization
  95. Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction
  96. Weisfeiler-Leman at the margin: When more expressivity matters
  97. Discovering Universal Semantic Triggers for Text-to-Image Synthesis
  98. A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
  99. Ensuring trustworthy and ethical behaviour in intelligent logical agents
  100. TransAxx: Efficient Transformers with Approximate Computing
  101. Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
  102. PKG API: A Tool for Personal Knowledge Graph Management
  103. FinLLM-B: When Large Language Models Meet Financial Breakout Trading
  104. Accelerating Distributed Deep Learning using Lossless Homomorphic Compression
  105. Morse sequences
  106. A step towards the integration of machine learning and classic model-based survey methods
  107. MAFIA: Multi-Adapter Fused Inclusive LanguAge Models
  108. Physics-informed machine learning as a kernel method
  109. The Balancing Act: Unmasking and Alleviating ASR Biases in Portuguese
  110. Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations
  111. NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness
  112. ClusterTabNet: Supervised clustering method for table detection and table structure recognition
  113. One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
  114. Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
  115. Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment
  116. Convolutional Neural Networks for signal detection in real LIGO data
  117. T-RAG: Lessons from the LLM Trenches
  118. Topological safeguard for evasion attack interpreting the neural networks' behavior
  119. Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm
  120. Cartesian atomic cluster expansion for machine learning interatomic potentials
  121. Differentially Private Decentralized Learning with Random Walks
  122. Pushing The Limit of LLM Capacity for Text Classification
  123. You can monitor your hydration level using your smartphone camera
  124. Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations
  125. A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?
  126. On the Distance from Calibration in Sequential Prediction
  127. Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
  128. TriAug: Out-of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound
  129. AraSpider: Democratizing Arabic-to-SQL
  130. Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora
  131. Top-K ranking with a monotone adversary
  132. The I/O Complexity of Attention, or How Optimal is Flash Attention?
  133. Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT
  134. Learning Optimal Tax Design in Nonatomic Congestion Games
  135. Novel definition and quantitative analysis of branch structure with topological data analysis
  136. Analyzing Currency Fluctuations: A Comparative Study of GARCH, EWMA, and IV Models for GBP/USD and EUR/GBP Pairs
  137. Intrinsic Task-based Evaluation for Referring Expression Generation
  138. SALAD: Smart AI Language Assistant Daily
  139. Particle Filter SLAM for Vehicle Localization
  140. News Recommendation with Attention Mechanism
  141. On the Transit Obfuscation Problem
  142. Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
  143. SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
  144. Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute Systems
  145. A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
  146. Large Language Models are Few-shot Generators: Proposing Hybrid Prompt Algorithm To Generate Webshell Escape Samples
  147. Conformal Predictive Programming for Chance Constrained Optimization
  148. D'olares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
  149. Enhancing Multi-Criteria Decision Analysis with AI: Integrating Analytic Hierarchy Process and GPT-4 for Automated Decision Support
  150. Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants
  151. BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind
  152. Leveraging AI to Advance Science and Computing Education across Africa: Challenges, Progress and Opportunities
  153. TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator
  154. Replicability is Asymptotically Free in Multi-armed Bandits
  155. The Limits of Assumption-free Tests for Algorithm Performance
  156. Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples
  157. Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like
  158. Unsupervised Discovery of Object-Centric Neural Fields
  159. Real-World Atmospheric Turbulence Correction via Domain Adaptation
  160. SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
  161. Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation
  162. Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning
  163. Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing
  164. A Deep Learning Method for Optimal Investment Under Relative Performance Criteria Among Heterogeneous Agents
  165. Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions
  166. Regression Trees for Fast and Adaptive Prediction Intervals
  167. A Novel Gaussian Min-Max Theorem and its Applications
  168. Sampling from the Mean-Field Stationary Distribution
  169. Data Distribution-based Curriculum Learning
  170. Antagonistic AI
  171. Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble
  172. Imagining a Future of Designing with AI: Dynamic Grounding, Constructive Negotiation, and Sustainable Motivation
  173. Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
  174. Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
  175. Exploring Saliency Bias in Manipulation Detection