Mapping the Phase Diagram of the Vicsek Model with Machine Learning

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Decentralized Sparse Linear Regression via Gradient-Tracking

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Sequential Inference for Gaussian Processes: A Signal Processing Perspective

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FlexiTac: A Low-Cost, Open-Source, Scalable Tactile Sensing Solution for Robotic Systems

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Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

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Global Optimality for Constrained Exploration via Penalty Regularization

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Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing

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Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces

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Do Sparse Autoencoders Capture Concept Manifolds?

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DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures

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Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression

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Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments

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Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty

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FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing

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TopBench: A Benchmark for Implicit Prediction and Reasoning over Tabular Question Answering

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A Unified Framework of Hyperbolic Graph Representation Learning Methods

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Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach

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PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking

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Early Detection of Water Stress by Plant Electrophysiology: Machine Learning for Irrigation Management

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Exponential families from a single KL identity

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