Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning

    Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit Seshia p72933-72963 from Advances in Neural Information Processing Systems 37
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  • Compositional Foundation Models for Hierarchical Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Foundation Models for Hierarchical Planning

    Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal p22304-22325 from Advances in Neural Information Processing Systems 36
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  • Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization Across Distributional Shifts with Sparse Tree Operations

    Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez p112836-112863 from Advances in Neural Information Processing Systems 37
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  • Compositional Generalization from First Principles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization from First Principles

    Thaddäus Wiedemer, Prasanna Mayilvahanan, Matthias Bethge, Wieland Brendel p6941-6960 from Advances in Neural Information Processing Systems 36
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  • Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

    Zhenlin Xu, Marc Niethammer, Colin Raffel p25074-25087 from Advances in Neural Information Processing Systems 35
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  • Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks

    Takuya Ito, Tim Klinger, Doug Schultz, John Murray, Michael Cole, Mattia Rigotti p32225-32239 from Advances in Neural Information Processing Systems 35
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  • Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond

    Kirill Brilliantov, Amauri Souza, Vikas Garg p107890-107931 from Advances in Neural Information Processing Systems 37
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  • Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees

    Ðorde Žikelic, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, Thomas Henzinger p47849-47873 from Advances in Neural Information Processing Systems 36
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  • Compositional Sculpting of Iterative Generative Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Sculpting of Iterative Generative Processes

    Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola p12665-12702 from Advances in Neural Information Processing Systems 36
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  • Compressed Video Prompt Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compressed Video Prompt Tuning

    Bing Li, Jiaxin Chen, Xiuguo Bao, Di Huang p31895-31907 from Advances in Neural Information Processing Systems 36
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  • Compressible-Composable NeRF Via Rank-Residual Decomposition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compressible-Composable NeRF Via Rank-Residual Decomposition

    Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng p14798-14809 from Advances in Neural Information Processing Systems 35
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  • Compressing Large Language Models using Low Rank and Low Precision Decomposition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compressing Large Language Models using Low Rank and Low Precision Decomposition

    Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea Goldsmith, Mert Pilanci p88981-89018 from Advances in Neural Information Processing Systems 37
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  • Compression with Bayesian Implicit Neural Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compression with Bayesian Implicit Neural Representations

    Zongyu Guo, Gergely Flamich, Jiajun He, Zhibo Chen, José Miguel Hernández-Lobato p1938-1956 from Advances in Neural Information Processing Systems 36
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  • Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference

    Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob Gardner, Geoff Pleiss, John Cunningham p31316-31349 from Advances in Neural Information Processing Systems 37
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  • Computational Aspects of Bayesian Persuasion under Approximate Best Response

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computational Aspects of Bayesian Persuasion under Approximate Best Response

    Kunhe Yang, Hanrui Zhang p134430-134458 from Advances in Neural Information Processing Systems 37
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  • Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy

    Amit Daniely, Nati Srebro, Gal Vardi p76272-76297 from Advances in Neural Information Processing Systems 36
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  • Computational Guarantees for Doubly Entropic Wasserstein Barycenters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computational Guarantees for Doubly Entropic Wasserstein Barycenters

    Tomas Vaskevicius, Lénaïc Chizat p12363-12388 from Advances in Neural Information Processing Systems 36
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  • Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs

    Dongruo Zhou, Quanquan Gu p36337-36349 from Advances in Neural Information Processing Systems 35
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  • Computerized Adaptive Testing via Collaborative Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computerized Adaptive Testing via Collaborative Ranking

    Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang p95488-95514 from Advances in Neural Information Processing Systems 37
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  • Computing a human-like reaction time metric from stable recurrent vision models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computing a human-like reaction time metric from stable recurrent vision models

    Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David Sheinberg, Thomas Serre p14338-14365 from Advances in Neural Information Processing Systems 36
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  • Computing Approximate $\ell_p$ Sensitivities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computing Approximate $\ell_p$ Sensitivities

    Swati Padmanabhan, David Woodruff, Richard Zhang p36795-36825 from Advances in Neural Information Processing Systems 36
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  • Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games

    Brian Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm p2659-2699 from Advances in Neural Information Processing Systems 36
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  • Computing Optimal Nash Equilibria in Multiplayer Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computing Optimal Nash Equilibria in Multiplayer Games

    Youzhi Zhang, Bo An, Venkatramanan Subrahmanian p21230-21254 from Advances in Neural Information Processing Systems 36
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  • Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise

    Sebastian Allmeier, Nicolas Gast p137873-137902 from Advances in Neural Information Processing Systems 37
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