Paper

  • Learning Dynamical Systems Via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Dynamical Systems Via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces

    Carlo Ciliberto, Vladimir Kostic, Andreas Maurer, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco p4017-4031 from Advances in Neural Information Processing Systems 35
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  • Learning Dynamics of Deep Linear Networks with Multiple Pathways

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Dynamics of Deep Linear Networks with Multiple Pathways

    Michael Buice, Eric Shea-Brown, Jianghong Shi p34064-34076 from Advances in Neural Information Processing Systems 35
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  • Learning eco-innovation from nature: an interdisciplinary approach to education in systematic environmental innovation

    Research In Engineering Education Network

    Learning eco-innovation from nature: an interdisciplinary approach to education in systematic environmental innovation

    Pavel Livotov, M. Mas'Udah, Arun Prasad Chandra Sekaran p242-249 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations

    Sueyeon Chung, Yilun Kuang, Eero Simoncelli, Thomas Yerxa p24103-24128 from Advances in Neural Information Processing Systems 36
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  • Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Efficient Surrogate Dynamic Models with Graph Spline Networks

    Federico Berto, Chuanbo Hua, Stefano Massaroli, Jinkyoo Park, Michael Poli p52523-52547 from Advances in Neural Information Processing Systems 36
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  • Learning Efficient Vision Transformers Via Fine-Grained Manifold Distillation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Efficient Vision Transformers Via Fine-Grained Manifold Distillation

    Jianyuan Guo, Kai Han, Zhiwei Hao, Han Hu, Ding Jia, Yehui Tang, Yunhe Wang, Chao Zhang p9164-9175 from Advances in Neural Information Processing Systems 35
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  • Learning Elastic Costs to Shape Monge Displacements

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Elastic Costs to Shape Monge Displacements

    Pierre Ablin, Marco Cuturi, Michal Klein, Eugène Ndiaye, Jonathan Niles-Weed, Aram-Alexandre Pooladian p108542-108565 from Advances in Neural Information Processing Systems 37
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  • Learning Energy Networks with Generalized Fenchel-Young Losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Energy Networks with Generalized Fenchel-Young Losses

    Mathieu Blondel, Robert Dadashi, Matthieu Geist, Leonard Hussenot, Felipe Llinares-Lopez p12516-12528 from Advances in Neural Information Processing Systems 35
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  • Learning Energy-based Model via Dual-MCMC Teaching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Energy-based Model via Dual-MCMC Teaching

    Jiali Cui, Tian Han p28861-28872 from Advances in Neural Information Processing Systems 36
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  • Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Energy-Based Prior Model with Diffusion-Amortized MCMC

    Ruiqi Gao, Xiaojian (Shawn) Ma, Ying Nian Wu, Sirui Xie, Peiyu Yu, Song-Chun Zhu, Yaxuan Zhu p42717-42747 from Advances in Neural Information Processing Systems 36
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  • Learning Enhanced Representation for Tabular Data Via Neighborhood Propagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Enhanced Representation for Tabular Data Via Neighborhood Propagation

    Kounianhua Du, Quan Gan, Jiarui Jin, Yangkun Wang, David P Wipf, Weinan Zhang, Zheng Zhang, Xilong Zhao, Ruiwen Zhou p16373-16384 from Advances in Neural Information Processing Systems 35
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  • Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions

    Kai Cheng, Hao Dong, Chuanruo Ning, Ruihai Wu, Guanqi Zhan, Yan Zhao p60966-60983 from Advances in Neural Information Processing Systems 36
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