Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning Infinitesimal Generators of Continuous Symmetries from Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Infinitesimal Generators of Continuous Symmetries from Data

    Gyeonghoon Ko, Hyunsu Kim, 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

    Çagatay Yildiz, Melih Kandemir, Barbara Rakitsch 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

    Xuan Huang, Hanhui Li, Wanquan Liu, Xiaodan Liang, Yiqiang Yan, Yuhao Cheng, Chengqiang Gao p14127-14147 from Advances in Neural Information Processing Systems 37
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  • Learning Interactive World Model for Object-Centric Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Interactive World Model for Object-Centric Reinforcement Learning

    Fan Feng, Phillip Lippe, Sara Magliacane p99766-99801 from Advances in Neural Information Processing Systems 38
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  • Learning Interestingness in Automated Mathematical Theory Formation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Interestingness in Automated Mathematical Theory Formation

    George Tsoukalas, Rahul Saha, Amitayush Thakur, Sabrina Reguyal, Swarat Chaudhuri p43523-43555 from Advances in Neural Information Processing Systems 38
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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

    Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott Maclachlan, Luke Olson, Matthew West 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

    Xuanjie Liu, Daniel Chin, Yichen Huang, Gus Xia p48699-48722 from Advances in Neural Information Processing Systems 36
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  • Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization

    Ziqi Wang, Jiashun Liu, Ling Pan p176562-176589 from Advances in Neural Information Processing Systems 38
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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, Ziwei Zhang, Xin Wang, 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

    Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen 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

    Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi 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

    Alan Wang, Minh Nguyen, Mert Sabuncu p4799-4819 from Advances in Neural Information Processing Systems 36
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  • Learning Juntas under Markov Random Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Juntas under Markov Random Fields

    Gautam Chandrasekaran, Adam Klivans p131735-131754 from Advances in Neural Information Processing Systems 38
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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

    Kaidi Cao, Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi 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

    Xiwen Wang, Jiaxi Ying, Daniel Palomar 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

    Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz p72624-72647 from Advances in Neural Information Processing Systems 36
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  • Learning Latent Seasonal-Trend Representations for Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Latent Seasonal-Trend Representations for Time Series Forecasting

    Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Goce Trajcevski, Ting Zhong, Fan Zhou p38775-38787 from Advances in Neural Information Processing Systems 35
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  • Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm

    James Cuin, Davide Carbone, O. Deniz Akyildiz p118256-118295 from Advances in Neural Information Processing Systems 38
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  • Learning Layer-wise Equivariances Automatically using Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Layer-wise Equivariances Automatically using Gradients

    Tycho Van Der Ouderaa, Alexander Immer, Mark Van Der Wilk p28365-28377 from Advances in Neural Information Processing Systems 36
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  • Learning Linear Attention in Polynomial Time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Linear Attention in Polynomial Time

    Morris Yau, Ekin Akyürek, Jiayuan Mao, Josh Tenenbaum, Stefanie Jegelka, Jacob Andreas p169592-169628 from Advances in Neural Information Processing Systems 38
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  • Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

    Jikai Jin, Vasilis Syrgkanis p63466-63509 from Advances in Neural Information Processing Systems 37
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  • Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

    Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar p45419-45462 from Advances in Neural Information Processing Systems 36
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  • Learning List-Level Domain-Invariant Representations for Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning List-Level Domain-Invariant Representations for Ranking

    Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky p64695-64724 from Advances in Neural Information Processing Systems 36
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  • Learning long range dependencies through time reversal symmetry breaking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning long range dependencies through time reversal symmetry breaking

    Guillaume Pourcel, Maxence Ernoult p80764-80822 from Advances in Neural Information Processing Systems 38
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