Papers
Mon 16 Sep 2024
258 papers
- Lab-AI: Using Retrieval Augmentation to Enhance Language Models for Personalized Lab Test Interpretation in Clinical MedicineRetrieval-augmented generation → Medical and biomedical RAG
- Do Large Language Models Need a Content Delivery Network?Efficient LLM inference and serving → KV cache optimization
- Video Token Sparsification for Efficient Multimodal LLMs in Autonomous DrivingLLM reasoning → Multimodal reasoning +2
- Provably Efficient Infinite-Horizon Average-Reward Reinforcement Learning with Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz TestingLLM agents and tool use → Agent threats, guardrails and governance
- A Model-Free Optimal Control Method With Fixed Terminal States and DelayDeep reinforcement learning methods → RL for games and combinatorial optimization
- Benchmarking VLMs' Reasoning About Persuasive Atypical ImagesLLM reasoning → Multimodal reasoning +1
- Online Learning via Memory: Retrieval-Augmented Detector AdaptationRetrieval-augmented generation → Multimodal RAG
- Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness GuaranteesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Safety Verification and Navigation for Autonomous Vehicles based on Signal Temporal Logic ConstraintsEnd-to-end autonomous driving → Reinforcement learning for driving
- Online Diffusion-Based 3D Occupancy Prediction at the Frontier with Probabilistic Map ReconciliationDiffusion models → Diffusion and flow policies for robotics
- Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Improving Multi-candidate Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- Optimizing Resource Consumption in Diffusion Models through Hallucination Early DetectionDiffusion models → Medical imaging and segmentation
- CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context ScenariosEfficient LLM inference and serving → KV cache optimization
- Offline Reinforcement Learning for Learning to Dispatch for Job Shop SchedulingOffline RL and imitation learning from data → Offline RL algorithms
- Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug DesignDiffusion models → Flow matching, time series and science
- Reinforcement Learning with Quasi-Hyperbolic DiscountingDeep reinforcement learning methods → RL theory and sample complexity
- DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding PredictionMechanistic interpretability → Interpreting biomedical and science models
- Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic PuzzlesLLM reasoning → Reasoning benchmarks and evaluation
- Incorporating Classifier-Free Guidance in Diffusion Model-Based RecommendationDiffusion models → Diffusion recommenders
- Do Pre-trained Vision-Language Models Encode Object States?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- XLM for Autonomous Driving Systems: A Comprehensive ReviewEnd-to-end autonomous driving → Large language models for driving
- SimInversion: A Simple Framework for Inversion-Based Text-to-Image EditingDiffusion models → Image generation, text-to-image and editing
- MacDiff: Unified Skeleton Modeling with Masked Conditional DiffusionDiffusion models → Video generation
- HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Mamba-ST: State Space Model for Efficient Style TransferDiffusion models → Medical imaging and segmentation +1
- Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech EnhancementState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Integrated Design and Governance of Agentic AI Systems through Adaptive Information ModulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Frequency-Guided Masking for Enhanced Vision Self-Supervised LearningKnowledge distillation → General knowledge distillation methods
- Taming Diffusion Models for Image Restoration: A ReviewDiffusion models → Inverse problems and image restoration
- DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario GenerationEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head SynthesisDiffusion models → Audio, speech and music
- Cognitive Kernel: An Open-source Agent System towards Generalist AutopilotsLLM agents and tool use → GUI and mobile agents
- From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMsMechanistic interpretability → Activation steering methods
- Safety-Oriented Pruning and Interpretation of Reinforcement Learning PoliciesDeep reinforcement learning methods → Safe and constrained RL
- Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search MissionsLLM reasoning → Spatial and embodied reasoning
- Enhancing RL Safety with Counterfactual LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive ControlDeep reinforcement learning methods → Safe and constrained RL
- Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Quantile Regression for Distributional Reward Models in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Trustworthiness in Retrieval-Augmented Generation Systems: A SurveyRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image RegressionMixture-of-experts → Vision mixture-of-experts
- Robust Reinforcement Learning with Dynamic Distortion Risk MeasuresDeep reinforcement learning methods → RL theory and sample complexity
- Beyond Perceptual Distance: Discrepancy Assessment on Deep Representation for Out-of-Distribution Detection with Diffusion ModelDiffusion models → Medical imaging and segmentation
- Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based modelsDiffusion models → Medical imaging and segmentation
- StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style DiffusionDiffusion models → Audio, speech and music
- Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude PerspectiveMechanistic interpretability → Activation steering methods
- Audio-Driven Reinforcement Learning for Head-Orientation in Naturalistic EnvironmentsDeep reinforcement learning methods → RL training of language and agent models
- Benchmarking Large Language Model Uncertainty for Prompt OptimizationLLM reasoning → Test-time compute and efficient thinking
- On the Diagram of ThoughtLLM reasoning → Reasoning benchmarks and evaluation
- AttnMod: Attention-Based New Art StylesDiffusion models → Image generation, text-to-image and editing
- DiffATR: Diffusion-based Generative Modeling for Audio-Text RetrievalDiffusion models → Audio, speech and music
- HALO: Hallucination Analysis and Learning Optimization to Empower LLMs with Retrieval-Augmented Context for Guided Clinical Decision MakingRetrieval-augmented generation → Hallucination detection in RAG
- SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQLLLM reasoning → Knowledge- and tool-augmented reasoning
- SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- SFR-RAG: Towards Contextually Faithful LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
- Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
- Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing
- AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
- The Importance of Causality in Decision Making: A Perspective on Recommender Systems
- NFDIcore 2.0: A BFO-Compliant Ontology for Multi-Domain Research Infrastructures
- PixelBytes: Catching Unified Representation for Multimodal Generation
- Strategic AI Governance: Insights from Leading Nations
- Machine Learning to Detect Anxiety Disorders from Error-Related Negativity and EEG Signals
- Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach
- Cross-Lingual News Event Correlation for Stock Market Trend Prediction
- Self-Tuning Spectral Clustering for Speaker Diarization
- TREB: a BERT attempt for imputing tabular data imputation
- Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language
- Aligning Robot Navigation Behaviors with Human Intentions and Preferences
- A Literature Review of Keyword Spotting Technologies for Urdu
- Surface solar radiation: AI satellite retrieval can outperform Heliosat and generalizes well to other climate zones
- TCG CREST System Description for the Second DISPLACE Challenge
- Simulaci'on de la distribuci'on de alimento en el cultivo de camar'on
- A Simple Model to Estimate Sharing Effects in Social Networks
- ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video
- A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach
- Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows
- MARCA: Mamba Accelerator with ReConfigurable Architecture
- Machine listening in a neonatal intensive care unit
- Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery
- LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modeling
- Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering
- Predicting Punctuation in Ancient Chinese Texts: A Multi-Layered LSTM and Attention-Based Approach
- Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming
- Are Deep Learning Models Robust to Partial Object Occlusion in Visual Recognition Tasks?
- Tight Lower Bounds under Asymmetric High-Order H"older Smoothness and Uniform Convexity
- Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities
- Semantics Preserving Emoji Recommendation with Large Language Models
- VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching
- NaviQAte: Functionality-Guided Web Application Navigation
- BaTCAVe: Trustworthy Explanations for Robot Behaviors
- Generalized Measures of Anticipation and Responsivity in Online Language Processing
- Depth from Coupled Optical Differentiation
- A Missing Data Imputation GAN for Character Sprite Generation
All 258
- On the effects of similarity metrics in decentralized deep learning under distributional shift
- Self-Attention Limits Working Memory Capacity of Transformer-Based Models
- Self-supervised Speech Models for Word-Level Stuttered Speech Detection
- Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
- CoMamba: Real-time Cooperative Perception Unlocked with State Space Models
- Using Generative Models to Produce Realistic Populations of the United Kingdom Windstorms
- Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
- Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
- Encoding Reusable Multi-Robot Planning Strategies as Abstract Hypergraphs
- MotIF: Motion Instruction Fine-tuning
- Multi-agent Path Finding in Continuous Environment
- Mitigating Sex Bias in Audio Data-driven COPD and COVID-19 Breathing Pattern Detection Models
- Toward Mitigating Sex Bias in Pilot Trainees' Stress and Fatigue Modeling
- A Bayesian Interpretation of Adaptive Low-Rank Adaptation
- Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
- Visualizing Temporal Topic Embeddings with a Compass
- CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble
- HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions
- Exploring Fine-tuned Generative Models for Keyphrase Selection: A Case Study for Russian
- Kolmogorov-Arnold Transformer
- ADIOS: Antibody Development via Opponent Shaping
- SoccerNet 2024 Challenges Results
- Motion Forecasting via Model-Based Risk Minimization
- WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
- RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
- An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems
- Partial Distribution Matching via Partial Wasserstein Adversarial Networks
- MusicLIME: Explainable Multimodal Music Understanding
- Flash STU: Fast Spectral Transform Units
- Schrodinger's Memory: Large Language Models
- Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance
- Online Nonconvex Bilevel Optimization with Bregman Divergences
- Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons
- Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
- Deep-Wide Learning Assistance for Insect Pest Classification
- CtRNet-X: Camera-to-Robot Pose Estimation in Real-world Conditions Using a Single Camera
- Structure-preserving learning for multi-symplectic PDEs
- SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
- Learning Semi-Supervised Medical Image Segmentation from Spatial Registration
- Multidimensional Deconvolution with Profiling
- Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation
- A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration
- MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
- TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
- Prompt-and-Transfer: Dynamic Class-aware Enhancement for Few-shot Segmentation
- Revising the Structure of Recurrent Neural Networks to Eliminate Numerical Derivatives in Forming Physics Informed Loss Terms with Respect to Time
- Learning Gentle Grasping from Human-Free Force Control Demonstration
- Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling
- Robust image representations with counterfactual contrastive learning
- 2D or not 2D: How Does the Dimensionality of Gesture Representation Affect 3D Co-Speech Gesture Generation?
- Point2Graph: An End-to-end Point Cloud-based 3D Open-Vocabulary Scene Graph for Robot Navigation
- Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
- Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)
- Hyperedge Modeling in Hypergraph Neural Networks by using Densest Overlapping Subgraphs
- VAE-QWGAN: Addressing Mode Collapse in Quantum GANs via Autoencoding Priors
- The 20 questions game to distinguish large language models
- Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering
- Research and Design of a Financial Intelligent Risk Control Platform Based on Big Data Analysis and Deep Machine Learning
- InfoDisent: Explainability of Image Classification Models by Information Disentanglement
- Fuse4Seg: Image Fusion for Multi-Modal Medical Segmentation via Bi-level Optimization
- Baking Relightable NeRF for Real-time Direct/Indirect Illumination Rendering
- On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
- Know your limits! Optimize the robot's behavior through self-awareness
- Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science
- On Synthetic Texture Datasets: Challenges, Creation, and Curation
- MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation
- SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
- Anatomical Positional Embeddings
- Neuromorphic Spintronics
- ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
- Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
- ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions
- Performance of Human Annotators in Object Detection and Segmentation of Remotely Sensed Data
- Causal Discovery in Recommender Systems: Example and Discussion
- BAFNet: Bilateral Attention Fusion Network for Lightweight Semantic Segmentation of Urban Remote Sensing Images
- Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
- MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length
- Hydra-SGG: Hybrid Relation Assignment for One-stage Scene Graph Generation
- Self-Updating Vehicle Monitoring Framework Employing Distributed Acoustic Sensing towards Real-World Settings
- SOLVR: Submap Oriented LiDAR-Visual Re-Localisation
- FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning
- Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs
- Robust Bird's Eye View Segmentation by Adapting DINOv2
- Neuromorphic Facial Analysis with Cross-Modal Supervision
- Garment Attribute Manipulation with Multi-level Attention
- Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation
- Efficient Milling Quality Prediction with Explainable Machine Learning
- SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps
- Relative Positioning for Aerial Robot Path Planning in GPS Denied Environment
- LLMs for clinical risk prediction
- ExelMap: Explainable Element-based HD-Map Change Detection and Update
- Augmenting Automatic Speech Recognition Models with Disfluency Detection
- TCDformer-based Momentum Transfer Model for Long-term Sports Prediction
- VideoRun2D: Cost-Effective Markerless Motion Capture for Sprint Biomechanics
- jina-embeddings-v3: Multilingual Embeddings With Task LoRA
- Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa
- SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting
- Efficient Network Embedding by Approximate Equitable Partitions
- Contrastive Learning for Character Detection in Ancient Greek Papyri
- AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
- LLMs4OL 2024 Overview: The 1st Large Language Models for Ontology Learning Challenge
- P2U-SLAM: A Monocular Wide-FoV SLAM System Based on Point Uncertainty and Pose Uncertainty
- AALF: Almost Always Linear Forecasting
- PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing
- Towards Explainable Automated Data Quality Enhancement without Domain Knowledge
- Advancing Towards a Marine Digital Twin Platform: Modeling the Mar Menor Coastal Lagoon Ecosystem in the South Western Mediterranean
- StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
- Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
- Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
- Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots
- A Comparative Study of Open Source Computer Vision Models for Application on Small Data: The Case of CFRP Tape Laying
- Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT
- Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
- InteractPro: A Unified Framework for Motion-Aware Image Composition
- A Riemannian Approach to Ground Metric Learning for Optimal Transport
- DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion
- LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain
- Steinmetz Neural Networks for Complex-Valued Data
- Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation
- Increasing faithfulness in human-human dialog summarization with Spoken Language Understanding tasks
- Enhancing Anomaly Detection via Generating Diversified and Hard-to-distinguish Synthetic Anomalies
- Spatiotemporal Covariance Neural Networks
- MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM
- GlobalMapNet: An Online Framework for Vectorized Global HD Map Construction
- Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models
- Learning Latent Wireless Dynamics from Channel State Information
- DENSER: 3D Gaussians Splatting for Scene Reconstruction of Dynamic Urban Environments
- Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs
- LASSO Inference for High Dimensional Predictive Regressions
- E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models
- Reinforcement learning-based statistical search strategy for an axion model from flavor
- LithoHoD: A Litho Simulator-Powered Framework for IC Layout Hotspot Detection
- AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing
- FreeMark: A Non-Invasive White-Box Watermarking for Deep Neural Networks
- Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system
- Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rate
- From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famine
- Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
- Towards a Unified Theory for Semiparametric Data Fusion with Individual-Level Data
- 2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction
- Artificial Intelligence-Based Opportunistic Coronary Calcium Screening in the Veterans Affairs National Healthcare System
- Deep Graph Anomaly Detection: A Survey and New Perspectives
- Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
- Optimal ablation for interpretability
- Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations
- Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of the synthetic opioid crisis in the USA, 2013-2020
- Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
- Generalizability of Graph Neural Network Force Fields for Predicting Solid-State Properties
- Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series
- Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges
- Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation
- Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation
- Forearm Ultrasound based Gesture Recognition on Edge
- Rapid Adaptation of Earth Observation Foundation Models for Segmentation
- Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
- Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors
- Enhancing Visual Inertial SLAM with Magnetic Measurements
- The EM-algorithm and the Method of Moments in Softmax Mixture Models