Paper

  • Learning Infinitesimal Generators of Continuous Symmetries from Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Infinitesimal Generators of Continuous Symmetries from Data

    Hyunsu Kim, Gyeonghoon Ko, Juho Lee p85973-86003 from Advances in Neural Information Processing Systems 37
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  • Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs

    Melih Kandemir, Barbara Rakitsch, Çagatay Yildiz p9188-9200 from Advances in Neural Information Processing Systems 35
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  • Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars

    Yuhao Cheng, Chengqiang Gao, Xuan Huang, Hanhui Li, Xiaodan Liang, Wanquan Liu, Yiqiang Yan p14127-14147 from Advances in Neural Information Processing Systems 37
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  • Learning Interface Conditions in Domain Decomposition Solvers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Interface Conditions in Domain Decomposition Solvers

    Scott Maclachlan, Nicolas Nytko, Luke Olson, Ali Taghibakhshi, Matthew West, Tareq Uz Zaman p7222-7235 from Advances in Neural Information Processing Systems 35
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  • Learning Interpretable Low-dimensional Representation via Physical Symmetry

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Interpretable Low-dimensional Representation via Physical Symmetry

    Daniel Chin, Yichen Huang, Xuanjie Liu, Gus Xia p48699-48722 from Advances in Neural Information Processing Systems 36
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  • Learning Invariant Graph Representations for Out-Of-Distribution Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Invariant Graph Representations for Out-Of-Distribution Generalization

    Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu p11828-11841 from Advances in Neural Information Processing Systems 35
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  • Learning Invariant Molecular Representation in Latent Discrete Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Invariant Molecular Representation in Latent Discrete Space

    Yatao Bian, Hongyang Chen, Huajun Chen, Keyan Ding, Jingsong Lv, Xiao Wang, Qiang Zhang, Xiang Zhuang p78435-78452 from Advances in Neural Information Processing Systems 36
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  • Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Invariant Representations of Graph Neural Networks via Cluster Generalization

    Nian Liu, Chuan Shi, Xiao Wang, Donglin Xia p45602-45613 from Advances in Neural Information Processing Systems 36
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  • Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head

    Minh Nguyen, Mert Sabuncu, Alan Wang p4799-4819 from Advances in Neural Information Processing Systems 36
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  • Learning Large Graph Property Prediction via Graph Segment Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Large Graph Property Prediction via Graph Segment Training

    Sami Abu-El-Haija, Kaidi Cao, Jure Leskovec, Charith Mendis, Bryan Perozzi, Mangpo Phothilimthana, Dustin Zelle, Yanqi Zhou p23345-23361 from Advances in Neural Information Processing Systems 36
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  • Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition

    Daniel Palomar, Xiwen Wang, Jiaxi Ying p73211-73231 from Advances in Neural Information Processing Systems 36
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  • Learning Large-scale Neural Fields via Context Pruned Meta-Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Large-scale Neural Fields via Context Pruned Meta-Learning

    Subin Kim, Jaeho Lee, Jonathan Richard Schwarz, Jinwoo Shin, Jihoon Tack, Sihyun Yu p72624-72647 from Advances in Neural Information Processing Systems 36
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