Paper

  • Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics

    Yenho Chen, Noga Mudrik, Kyle Johnsen, Sankaraleengam Alagapan, Adam Charles, Christopher Rozell p104443-104470 from Advances in Neural Information Processing Systems 37
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  • Probabilistic Exponential Integrators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Exponential Integrators

    Nathanael Bosch, Philipp Hennig, Filip Tronarp p40450-40467 from Advances in Neural Information Processing Systems 36
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  • Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data

    Pei-Yau Weng, Minh Hoang, Lam Nguyen, My Thai, Tsui-Wei Weng, Trong Hoang p81933-81958 from Advances in Neural Information Processing Systems 37
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  • Probabilistic Graph Rewiring via Virtual Nodes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Graph Rewiring via Virtual Nodes

    Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert p28359-28392 from Advances in Neural Information Processing Systems 37
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  • Probabilistic Inference in Reinforcement Learning Done Right

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Inference in Reinforcement Learning Done Right

    Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue p33687-33725 from Advances in Neural Information Processing Systems 36
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  • Probabilistic Invariant Learning with Randomized Linear Classifiers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Invariant Learning with Randomized Linear Classifiers

    Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris Maddison p74736-74752 from Advances in Neural Information Processing Systems 36
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  • Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs

    Dominik Straub, Matthias Schultheis, Heinz Koeppl, Constantin Rothkopf p7065-7092 from Advances in Neural Information Processing Systems 36
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  • Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data

    Yuxuan Zhao, Alex Townsend, Madeleine Udell p22064-22077 from Advances in Neural Information Processing Systems 35
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  • Probabilistic size-and-shape functional mixed models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic size-and-shape functional mixed models

    Fangyi Wang, Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek p50031-50061 from Advances in Neural Information Processing Systems 37
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  • Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design

    Jörg Franke, Frederic Runge, Frank Hutter p26856-26873 from Advances in Neural Information Processing Systems 35
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  • Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks

    Joel Oskarsson, Tomas Landelius, Marc Deisenroth, Fredrik Lindsten p41577-41648 from Advances in Neural Information Processing Systems 37
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  • Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation.

    Chris Subia-Waud, Srinandan Dasmahapatra p59410-59424 from Advances in Neural Information Processing Systems 36
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