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  • 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

    Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil 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

    Jianghong Shi, Eric Shea-Brown, Michael Buice 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

    Thomas Yerxa, Yilun Kuang, Eero Simoncelli, Sueyeon Chung 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

    Chuanbo Hua, Federico Berto, Michael Poli, Stefano Massaroli, Jinkyoo Park 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

    Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang 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

    Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi 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, Felipe Llinares-Lopez, Robert Dadashi, Leonard Hussenot, Matthieu Geist 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

    Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian (Shawn) Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu 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, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P Wipf 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

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