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

    Sankaraleengam Alagapan, Adam Charles, Yenho Chen, Kyle Johnsen, Noga Mudrik, 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

    Minh Hoang, Trong Hoang, Lam Nguyen, My Thai, Pei-Yau Weng, Tsui-Wei Weng 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

    Andrei Manolache, Christopher Morris, Mathias Niepert, Chendi Qian 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

    Tor Lattimore, Brendan O'Donoghue, Jean Tarbouriech 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, Chris Maddison, Assaf Schuster, Gal Yehuda 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

    Heinz Koeppl, Constantin Rothkopf, Matthias Schultheis, Dominik Straub 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

    Alex Townsend, Madeleine Udell, Yuxuan Zhao 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

    Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek, Fangyi Wang 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, Frank Hutter, Frederic Runge 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

    Marc Deisenroth, Tomas Landelius, Fredrik Lindsten, Joel Oskarsson 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.

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