Papers
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Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory
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When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models
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MemBoost: A Memory-Boosted Framework for Cost-Aware LLM Inference
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Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering
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Machine Unlearning under Retain-Forget Entanglement
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Generation Is Compression: Zero-Shot Video Coding via Stochastic Rectified Flow
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The Climber's Grip -- Personalized Deep Learning Models for Fear and Muscle Activity in Climbing
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Scene Grounding In the Wild
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EZASP -- Facilitating the usage of ASP
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MA-Bench: Towards Fine-grained Micro-Action Understanding
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EnTaCs: Analyzing the Relationship Between Sentiment and Language Choice in English-Tamil Code-Switching
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From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion
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The Limits of Learning from Pictures and Text: Vision-Language Models and Embodied Scene Understanding
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Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation
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PQuantML: A Tool for End-to-End Hardware-aware Model Compression
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Characterization and forecasting of national-scale solar power ramp events
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From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
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VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward
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Sustainability Is Not Linear: Quantifying Performance, Energy, and Privacy Trade-offs in On-Device Intelligence
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Hardware-Aware Tensor Networks for Real-Time Quantum-Inspired Anomaly Detection at Particle Colliders
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Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling
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Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
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Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits
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Machine Learning Transferability for Malware Detection
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A federated architecture for sector-led AI governance: lessons from India
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Drive-Through 3D Vehicle Exterior Reconstruction via Dynamic-Scene SfM and Distortion-Aware Gaussian Splatting
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Make Geometry Matter for Spatial Reasoning
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Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation
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LACON: Training Text-to-Image Model from Uncurated Data
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Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision
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An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
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Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification
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PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning
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Tunable Soft Equivariance with Guarantees
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Zero-Shot Depth from Defocus
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Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning
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GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation
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Weight Tying Biases Token Embeddings Towards the Output Space
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Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
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Detailed Geometry and Appearance from Opportunistic Motion
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TTE-CAM: Built-in Class Activation Maps for Test-Time Explainability in Pretrained Black-Box CNNs
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Property-Guided Molecular Generation and Optimization via Latent Flows
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Privacy-Preserving Iris Recognition: Performance Challenges and Outlook
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Strategic Candidacy in Generative AI Arenas
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Water-Filling is Universally Minimax Optimal
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Magic Words or Methodical Work? Challenging Conventional Wisdom in LLM-Based Political Text Annotation
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Computer Vision with a Superpixelation Camera
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Are LLMs Good For Quantum Software, Architecture, and System Design?
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FusionAgent: A Multimodal Agent with Dynamic Model Selection for Human Recognition
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Comparing Physics-Informed and Neural ODE Approaches for Modeling Nonlinear Biological Systems: A Case Study Based on the Morris-Lecar Model
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