Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Complexity Matters: Rethinking the Latent Space for Generative Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complexity Matters: Rethinking the Latent Space for Generative Modeling

    Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li p29558-29579 from Advances in Neural Information Processing Systems 36
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  • Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control

    Xingang Guo, Darioush Keivan, Geir Dullerud, Peter Seiler, Bin Hu p5050-5078 from Advances in Neural Information Processing Systems 36
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  • Complexity Scaling Laws for Neural Models using Combinatorial Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Complexity Scaling Laws for Neural Models using Combinatorial Optimization

    Lowell Weissman, Michael Krumdick, A. Abbott p22459-22511 from Advances in Neural Information Processing Systems 38
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  • Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections

    Xiaomeng Xu, Yifan Hou, Zeyi Liu, Shuran Song p154774-154796 from Advances in Neural Information Processing Systems 38
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  • ComPO: Preference Alignment via Comparison Oracles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ComPO: Preference Alignment via Comparison Oracles

    Peter Chen, Xi Chen, Wotao Yin, Tianyi Lin p135121-135154 from Advances in Neural Information Processing Systems 38
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  • Composable Coresets for Determinant Maximization: Greedy is Almost Optimal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composable Coresets for Determinant Maximization: Greedy is Almost Optimal

    Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar p41531-41542 from Advances in Neural Information Processing Systems 36
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  • Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets

    Yuandong Tian p78643-78676 from Advances in Neural Information Processing Systems 38
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  • Composing Linear Layers from Irreducibles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composing Linear Layers from Irreducibles

    Travis Pence, Daisuke Yamada, Vikas Singh p141577-141611 from Advances in Neural Information Processing Systems 38
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  • Composing Parameter-Efficient Modules with Arithmetic Operation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composing Parameter-Efficient Modules with Arithmetic Operation

    Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He p12589-12610 from Advances in Neural Information Processing Systems 36
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  • Composite Feature Selection Using Deep Ensembles

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composite Feature Selection Using Deep Ensembles

    Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela Van Der Schaar p36142-36160 from Advances in Neural Information Processing Systems 35
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  • Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data

    Lingkai Kong, Haichuan Wang, Tonghan Wang, GUOJUN XIONG, Milind Tambe p102669-102710 from Advances in Neural Information Processing Systems 38
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  • Composition and Alignment of Diffusion Models using Constrained Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composition and Alignment of Diffusion Models using Constrained Learning

    Shervin Khalafi, Ignacio Hounie, Dongsheng Ding, Alejandro Ribeiro p21182-21229 from Advances in Neural Information Processing Systems 38
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  • Composition Theorems for Interactive Differential Privacy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Composition Theorems for Interactive Differential Privacy

    Xin Lyu p9700-9712 from Advances in Neural Information Processing Systems 35
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  • Compositional 3D-aware Video Generation with LLM Director

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional 3D-aware Video Generation with LLM Director

    Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian p131618-131644 from Advances in Neural Information Processing Systems 37
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  • Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task

    Maya Okawa, Ekdeep S Lubana, Robert Dick, Hidenori Tanaka p50173-50195 from Advances in Neural Information Processing Systems 36
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  • 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 Discrete Latent Code for High Fidelity, Productive Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models

    Samuel Lavoie, Michael Noukhovitch, Aaron Courville p110365-110392 from Advances in Neural Information Processing Systems 38
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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 Monte Carlo Tree Diffusion for Extendable Planning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Monte Carlo Tree Diffusion for Extendable Planning

    Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn p134641-134671 from Advances in Neural Information Processing Systems 38
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  • Compositional Neural Network Verification via Assume-Guarantee Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compositional Neural Network Verification via Assume-Guarantee Reasoning

    Hai Duong, David Shriver, ThanhVu Nguyen, Matthew Dwyer p71519-71543 from Advances in Neural Information Processing Systems 38
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