Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning
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Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation
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CHAOSMINING: Benchmarking Post-Hoc Attribution with Sparse Informative Features in High Dimensions
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HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
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A Function-Space Approach to the Statistical Mechanics of Learning Dynamics
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Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation
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Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs
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Private online learning and prediction for Littlestone classes
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Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning
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Understanding Certified Training with Interval Bound Propagation
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Efficient Hierarchical Transformers for Representing Log Data
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H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning
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