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ImputeECG: Deep Learning Reconstruction of Complete 12-Lead Electrocardiograms from Incom…
Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation…
The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System
LLM for the development of FCM
From Fixed to Free Cameras: Calibration-Free View-Robust Vision-Language-Action Model
SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language…
Pretraining Curricula Enable Selective Fine-tuning
Predicting Drafted Deck Strength for "Magic: the Gathering"
Wasserstein Residuals: Learning Gradient Flows from Population Dynamics
Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards
URSA: Chemistry-Aware Benchmark for Utilitarian Retrosynthesis Assessment
ProPS: Prompted Profile Synthesis for Natural Language-Conditioned Speaker Embedding Dist…
Shifting from Discrete to Continuous Reference Data: QSM-Derived Horizontal Tree Biomass …
Privacy-Preserving Robustness Verification for Neural Networks
Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm …
Multi-Turn On-Policy Distillation with Prefix Replay
SILO: Simulation-in-the-Loop Sim-to-Real Transfer for Multi-Stage Cable Routing
Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-…
Simple-to-Complex Structured Demonstrations for Vision-Language-Action Learning
A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent P…
RUFNet: Query-Guided Support Mask Refinement and Uncertainty Fusion based on Hybrid Mamba…
EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection
Mask2Real-WM: Segmentation Masks as a Sim-to-Real Bridge for Controllable Dexterous World…
Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic
Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Lang…
Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building
Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing
Two Black Boxes, One Solver: Encoder Probing and Decoder Attribution for Neural Multi-Att…
Graph Neural Networks are Heuristics