Physics Informed Neural Network model for the dynamical study of Abdominal Aortic Aneurysm
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Legislating World-Model-Based Planning with Legal Reasoning
TyPatch: Transforming Patches into Typestate Rules for Kernel Bug Detection
Predictive audio representations for early detection and tracking of hidden dynamic objec…
Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction
DiTAR+: Dual Optimization for Robust Autoregressive Diffusion Speech Synthesis
How Lossless Is Lossless Speculative Decoding? The Role of Numerical Precision in Orthrus
Refinement-based Flow Policy Optimization
Rolling Day-Wise Mortality Prediction in Critically Ill Patients With AKI on CRRT Utilizi…
HarnessBandit: Joint Learnability-Transferability Scheduling for Multi-Harness Agentic Re…
Hardware-Aware Learned Representation Compression for Distributed In-Sensor Vision
Thought without systematicity? Evaluating reasoning models on rule induction tasks
Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Coll…
Confuse the Model, Control the Flow: Understanding and Mitigating Privacy Leakage from LL…
Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos
A New Transformer-Based Approach for Audio-Based Kinship Verification and a New Uncontrol…
Signatures of Steerability in Activation Space of Language Models
A Hybrid Dependency-Aware Framework for Task Decomposition and Dynamic Agent Generation i…
From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening …
NeuroActiSep: Detecting Factual Hallucinations from Feed-Forward Neurons in a Single Pass
Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning
EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition
Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Em…
AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A C…
Adaptive Phase-Switching for Communication-Efficient Federated LoRA Fine-Tuning
Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum …
OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise
A property-registry contract for retrieve-or-refuse thermal-mechanical lattice search
Calibrating Interpretability Instruments Before Trusting Their Verdicts
Multi-View Molecular Representation Learning with Hierarchical Graphs and Contextualized …