Decision-Focused Learning in MDPs: An Occupancy Measure Approach
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New papers, breakthroughs and academic AI research
Scalable next-scale autoregression for medical image generation across anatomical regions
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Structure-Aware Graph Abstention for Reliable Selective Forecasting
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Sensor Geometry as a Flow-Matching Prior for Multi-Channel Brain Signals
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WinoQueer-NL: Assessing Bias in Dutch Language Models toward LGBTQ+ Identities
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Large Pretraining Datasets Don't Guarantee Robustness after Fine-Tuning in Image Classification
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Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound
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Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces
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Uncertainty Quantification Is Indispensable for Reliable Connectome-Based Graph Learning: A Narrative Review and Case Study
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Quantifying the Generation Modality Gap in Speech-Text Language Models
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Symmetry-Aware Feature Learning: A Polynomial Separation for Multi-Index Models
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Evaluating Large Language Model Raters for German Open-Response Clinical Questions: A Physician-Annotated Benchmark Study of Agreement, Evaluator Bias, and Abstention
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