Paper

  • A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness

    Yuri Kinoshita, Taro Toyoizumi p85241-85309 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints

    Kareem Ahmed, Kai-Wei Chang, Guy Van Den Broeck p18325-18340 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Quadrature Rule Combining Control Variates and Adaptive Importance Sampling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Quadrature Rule Combining Control Variates and Adaptive Importance Sampling

    Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman p11842-11853 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Quantitative Geometric Approach to Neural-Network Smoothness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Quantitative Geometric Approach to Neural-Network Smoothness

    Somesh Jha, Gautam Prakriya, Zi Wang p34201-34215 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Randomized Approach to Tight Privacy Accounting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Randomized Approach to Tight Privacy Accounting

    Ruoxi Jia, Saeed Mahloujifar, Prateek Mittal, Jiachen (Tianhao) Wang, Tong Wu p33856-33893 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Recipe for Charge Density Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Recipe for Charge Density Prediction

    Kyle Bystrom, Xiang Fu, Tommi Jaakkola, Boris Kozinsky, Albert Musaelian, Andrew Rosen, Tess Smidt, Rui Wang p9727-9752 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

    Xiao Liu, Si Wu, Ying Nian Wu, Wenhao Zhang, Junfeng Zuo p62682-62695 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Reduction to Binary Approach for Debiasing Multiclass Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Reduction to Binary Approach for Debiasing Multiclass Datasets

    Ibrahim Alabdulmohsin, Sanmi Koyejo, Jessica Schrouff p2480-2493 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

    Simon Du, Bin Liu, Liwei Wang, Tianhao Wu, Yunchang Yang, Han Zhong p46362-46389 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Regret-Variance Trade-Off in Online Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Regret-Variance Trade-Off in Online Learning

    Nicolò Cesa-Bianchi, Dirk Van Der Hoeven, Nikita Zhivotovskiy p35188-35200 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems

    Rizwan Ahmad, Matthew Bendel, Philip Schniter p68673-68684 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • A Reparametrization-Invariant Sharpness Measure Based on Information Geometry

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Reparametrization-Invariant Sharpness Measure Based on Information Geometry

    Cheongjae Jang, Sungyoon Lee, Yung-Kyun Noh, Frank Park p27893-27905 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00