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
    Our Price: $0.00
  • 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

    Xi Zhang, Xiaolin Wu p106497-106518 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Maryam Fazel, Simon Du p124502-124529 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Learning Options Via Compression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Options Via Compression

    Yiding Jiang, Evan Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn p21184-21199 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Learning Partial Equivariances from Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Partial Equivariances from Data

    David W. Romero, Suhas Lohit p36466-36478 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • Learning Physical Dynamics with Subequivariant Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Physical Dynamics with Subequivariant Graph Neural Networks

    Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan p26256-26268 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Learning Physics Constrained Dynamics Using Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Physics Constrained Dynamics Using Autoencoders

    Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J Ramadge p17157-17172 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Learning Place Cell Representations and Context-Dependent Remapping

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Place Cell Representations and Context-Dependent Remapping

    Markus Pettersen, Frederik Rogge, Mikkel Lepperød p244-269 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan p41649-41669 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • Learning Predictions for Algorithms with Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Predictions for Algorithms with Predictions

    Misha Khodak, Maria-Florina Balcan, Ameet Talwalkar, Sergei Vassilvitskii p3542-3555 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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, Erik Nijkamp, Jonathan Mitchell, Bo Pang, Song-Chun Zhu p928-940 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

    Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong p18582-18612 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel p57276-57305 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Learning Rate Free Sampling in Constrained Domains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Rate Free Sampling in Constrained Domains

    Louis Sharrock, Lester Mackey, Christopher Nemeth p65380-65415 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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, Yuan Xie, Yanyun Qu p42396-42408 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi p25504-25516 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Learning Regularized Monotone Graphon Mean-Field Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Regularized Monotone Graphon Mean-Field Games

    Fengzhuo Zhang, Vincent Tan, Zhaoran Wang, Zhuoran Yang p67297-67308 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Learning Reliable Logical Rules with SATNet

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Reliable Logical Rules with SATNet

    Zhaoyu Li, Jinpei Guo, Yuhe Jiang, Xujie Si p14837-14847 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Jianwei Zhang, Suren Jayasuriya, Visar Berisha p76425-76443 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • Learning Representations for Hierarchies with Minimal Support

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Representations for Hierarchies with Minimal Support

    Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Dasgupta, Hung Le, Andrew McCallum p5586-5614 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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

    Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey Allen, William Whitney, Kimberly Stachenfeld, Tobias Pfaff p125809-125838 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00