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Workshop
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Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows
Bálint Máté · François Fleuret
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Workshop
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Bridging Empirics and Theory: Unveiling Asymptotic Universality Across Gaussian and Gaussian Mixture Inputs in Deep Learning
Jaeyong Bae · Hawoong Jeong
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Workshop
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GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory
David Baek · Ziming Liu · Max Tegmark
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Workshop
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On the Theory of Cross-Modality Distillation with Contrastive Learning
Hangyu Lin · Chen Liu · Chengming Xu · Zhengqi Gao · Yanwei Fu · Yuan Yao
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Workshop
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On the Theory of Skill-based Reinforcement Learning: Distribution Recovery and Generalization
Hongyi Guo · Xiaoyu Chen · Sirui Zheng · Zhuoran Yang · Zhaoran Wang
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Workshop
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Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
Wei Xiong · Hanze Dong · Chenlu Ye · Ziqi Wang · Han Zhong · Heng Ji · Nan Jiang · Tong Zhang
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Workshop
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Transformers' Spectral Bias and The Symmetric Group
Itay Lavie · Guy Gur-Ari · Zohar Ringel
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Workshop
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Application of gauge equivariant convolutional neural networks to learning a fixed point action for SU(3) gauge theory
Kieran Holland · Andreas Ipp · David Müller · Urs Wenger
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Workshop
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Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
Wei Xiong · Hanze Dong · Chenlu Ye · Ziqi Wang · Han Zhong · Heng Ji · Nan Jiang · Tong Zhang
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Workshop
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Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
Xinyi Wang · Alfonso Amayuelas · Kexun Zhang · Liangming Pan · Wenhu Chen · William Wang
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Workshop
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CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text
Zhenru Lin · Yiqun Yao · Yang Yuan
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Workshop
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Measuring Sharpness in Grokking
Jack Miller · Patrick Gleeson · Noam Levi · Charles O'Neill · Thang Bui
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