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Tutorial
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Tue 9:30
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Causality for Large Language Models
Zhijing Jin · Sergio Garrido
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Poster
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Thu 16:30
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Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models
Gen Li · Yuling Yan
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Poster
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Wed 16:30
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Structural Inference of Dynamical Systems with Conjoined State Space Models
Aoran Wang · Jun Pang
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Poster
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Thu 11:00
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Learn To be Efficient: Build Structured Sparsity in Large Language Models
Haizhong Zheng · Xiaoyan Bai · Xueshen Liu · Zhuoqing Morley Mao · Beidi Chen · Fan Lai · Atul Prakash
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Poster
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Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
Alexander Levis · Gabriel Loewinger · Francisco Pereira
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Poster
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Wed 11:00
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Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
Tobias Schröder · Zijing Ou · Yingzhen Li · Andrew Duncan
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Workshop
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Unraveling the Latent Hierarchical Structure of Language and Images via Diffusion Models
Antonio Sclocchi · Noam Levi · Alessandro Favero · Matthieu Wyart
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Workshop
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Sun 11:20
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Structured Identity Mapping Learning As a Model for Compositional Generalization in Generative Models
Yongyi Yang · Core Francisco Park · Ekdeep S Lubana · Maya Okawa · Wei Hu · Hidenori Tanaka
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Poster
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Wed 11:00
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Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
Xin Chen · Anderson Ye Zhang
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Poster
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Wed 16:30
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SlimGPT: Layer-wise Structured Pruning for Large Language Models
Gui Ling · Ziyang Wang · YuliangYan · Qingwen Liu
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Oral
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Wed 10:40
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Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures
Xin Chen · Anderson Ye Zhang
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Workshop
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MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
Qianggang Ding · Santiago Miret · Bang Liu
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