Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Learning Optimal Flows for Non-Equilibrium Importance Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Optimal Flows for Non-Equilibrium Importance Sampling

    Yu Cao, Eric Vanden-Eijnden p12352-12364 from Advances in Neural Information Processing Systems 35
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  • Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

    Xiaolin Wu, Xi Zhang p106497-106518 from Advances in Neural Information Processing Systems 37
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  • Learning Optimal Tax Design in Nonatomic Congestion Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Optimal Tax Design in Nonatomic Congestion Games

    Qiwen Cui, Simon Du, Maryam Fazel p124502-124529 from Advances in Neural Information Processing Systems 37
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  • Learning Options Via Compression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Options Via Compression

    Benjamin Eysenbach, Chelsea Finn, Yiding Jiang, J. Zico Kolter, Evan Liu p21184-21199 from Advances in Neural Information Processing Systems 35
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  • Learning Partial Equivariances from Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Partial Equivariances from Data

    Suhas Lohit, David W. Romero p36466-36478 from Advances in Neural Information Processing Systems 35
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  • Learning Partitions from Context

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Partitions from Context

    Simon Buchholz p140066-140112 from Advances in Neural Information Processing Systems 37
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  • Learning Physical Dynamics with Subequivariant Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Physical Dynamics with Subequivariant Graph Neural Networks

    Chuang Gan, Jiaqi Han, Wenbing Huang, Jiachen Li, Hengbo Ma, Josh Tenenbaum p26256-26268 from Advances in Neural Information Processing Systems 35
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  • Learning Physics Constrained Dynamics Using Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Physics Constrained Dynamics Using Autoencoders

    Karthik Narasimhan, Peter J Ramadge, Justinian Rosca, Tsung-Yen Yang p17157-17172 from Advances in Neural Information Processing Systems 35
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  • Learning Place Cell Representations and Context-Dependent Remapping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Place Cell Representations and Context-Dependent Remapping

    Mikkel Lepperød, Markus Pettersen, Frederik Rogge p244-269 from Advances in Neural Information Processing Systems 37
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  • Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation

    Cunxin Fan, Yang Li, Xinhao Song, Huaijin Wu, Junchi Yan, Xinhao Zheng p41649-41669 from Advances in Neural Information Processing Systems 37
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  • Learning predictable and robust neural representations by straightening image sequences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning predictable and robust neural representations by straightening image sequences

    Xueyan Niu, Cristina Savin, Eero Simoncelli p40316-40335 from Advances in Neural Information Processing Systems 37
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  • Learning Predictions for Algorithms with Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Predictions for Algorithms with Predictions

    Maria-Florina Balcan, Misha Khodak, Ameet Talwalkar, Sergei Vassilvitskii p3542-3555 from Advances in Neural Information Processing Systems 35
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  • Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

    Mitch Hill, Jonathan Mitchell, Erik Nijkamp, Bo Pang, Song-Chun Zhu p928-940 from Advances in Neural Information Processing Systems 35
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  • Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

    Hyeokjun An, Seunghoon Hong, Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade p18582-18612 from Advances in Neural Information Processing Systems 36
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  • Learning Provably Robust Estimators for Inverse Problems via Jittering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Provably Robust Estimators for Inverse Problems via Jittering

    Reinhard Heckel, Anselm Krainovic, Mahdi Soltanolkotabi p57276-57305 from Advances in Neural Information Processing Systems 36
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  • Learning Rate Free Sampling in Constrained Domains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Rate Free Sampling in Constrained Domains

    Lester Mackey, Christopher Nemeth, Louis Sharrock p65380-65415 from Advances in Neural Information Processing Systems 36
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  • Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution

    Xiaotong Luo, Yanyun Qu, Yuan Xie p42396-42408 from Advances in Neural Information Processing Systems 36
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  • Learning Recourse on Instance Environment to Enhance Prediction Accuracy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Recourse on Instance Environment to Enhance Prediction Accuracy

    Abir De, Lokesh N, Guntakanti Sai Koushik, Sunita Sarawagi p25504-25516 from Advances in Neural Information Processing Systems 35
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  • Learning Regularized Monotone Graphon Mean-Field Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Regularized Monotone Graphon Mean-Field Games

    Vincent Tan, Zhaoran Wang, Zhuoran Yang, Fengzhuo Zhang p67297-67308 from Advances in Neural Information Processing Systems 36
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  • Learning Reliable Logical Rules with SATNet

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Reliable Logical Rules with SATNet

    Jinpei Guo, Yuhe Jiang, Zhaoyu Li, Xujie Si p14837-14847 from Advances in Neural Information Processing Systems 36
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  • Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer

    Visar Berisha, Suren Jayasuriya, Jianwei Zhang p76425-76443 from Advances in Neural Information Processing Systems 36
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  • Learning Representations for Hierarchies with Minimal Support

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Representations for Hierarchies with Minimal Support

    Michael Boratko, Shib Dasgupta, Hung Le, Andrew McCallum, Dhruvesh Patel, Benjamin Rozonoyer, Wenlong Zhao p5586-5614 from Advances in Neural Information Processing Systems 37
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  • Learning Representations Via a Robust Behavioral Metric for Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Representations Via a Robust Behavioral Metric for Deep Reinforcement Learning

    Jianda Chen, Sinno Pan p36654-36666 from Advances in Neural Information Processing Systems 35
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  • Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

    Kelsey Allen, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Kimberly Stachenfeld, William Whitney p125809-125838 from Advances in Neural Information Processing Systems 37
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