Paper

  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • Learning Large-Scale MTP$_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
    Our Price: $0.00
  • 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
    Our Price: $0.00