Geometry-Aware Adaptation for Pretrained Models
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Pooling Helps, Learned Weighting Hurts In-Context: Decomposing Group Attention
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Same Reward, Different Skills: When Multimodal RL Learns to Look
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Graph Representation via Elements of Discrete Morse and Cobordism Theories
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EgoForge: Goal-Directed Egocentric World Simulator
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Image-Domain Poisson-Perturbation Robustness of NCCT Slice Classification
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Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses
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A foundation for systematic analysis of transformers and RNNs for tractography
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Wrivinder: Towards Spatial Intelligence for Geo-locating Ground Images onto Satellite Imagery
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Higher-Order Positional Encodings for Graph Representation Learning
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ProtoDCS: Towards Robust and Efficient Open-Set Test-Time Adaptation for Vision-Language Models
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Learning to Predict Distributions over Weight Updates for Test-Time Adaptation
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