Variability Aware Recursive Neural Network (VARNN): A Residual-Memory Model for Capturing Temporal Deviation in Sequence Regression Modeling
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JEPA-Bisim: Learning Robust Visual Representations for Planning with Joint-Embedding Predictive World Models
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Adaptive and oblivious statistical adversaries are equivalent
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Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
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Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
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Rethinking the Global Convergence of Softmax Policy Gradient with Linear Function Approximation: The Case of Multi-Armed Bandits
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Meta-reinforcement learning with minimum attention
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A Large Scale Investigation of Scaling Limits in Chemical Language Models
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On the Escaping Efficiency of Distributed Adversarial Training Algorithms
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Aligning Inductive Bias for Data-Efficient Generalization in State Space Models
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From Reasoning Failures to Composable Video Spatial Intelligence
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Fold'EM: Direct atomic structure inference from Cryo-EM particles
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