Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI
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A Few Steps Further: Why Defenses Against Malicious Finetuning Erode Under Continued Training
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Residualized Temporal Sparse Autoencoders for Interpreting Diffusion Models
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Task-Sufficient Contraction: Source Selection for Machine Information Interfaces
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FiRe: Fine-grained Multimodal Reasoning for Enhanced Image Generation
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HULK: Learning Whole-Body Forceful Loco-Manipulation for Humanoids
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Geological text descriptions in ill-posed inverse problems: insights from learned hydraulic-conductivity inversion
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VIA: Visual Interface Agent for Robot Control
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SpanVLA: Learning from Negative-Recovery Samples with Fast Action Bridging for Vision-Language-Action Model
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A method for multimodal analysis of TAIGA experiment data using essential features
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Empirical Evidence for Simply Connected Decision Regions in Image Classifiers
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Quadratic Weak-to-Strong Generalization in Random Feature Networks via Random Matrix Theory
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