Paper

  • Conservative State Value Estimation for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conservative State Value Estimation for Offline Reinforcement Learning

    Liting Chen, Qingwei Lin, Thomas Moscibroda, Saravanakumar Rajmohan, Zhengdao Shao, Lu Wang, Jie Yan, Dongmei Zhang p35064-35083 from Advances in Neural Information Processing Systems 36
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  • CONSIDERATION OF FLUID FORCES ACTING ON PARTS OF WOOD HOUSE UNDER FLOOD

    World Conference on Timber Engineering 2025

    CONSIDERATION OF FLUID FORCES ACTING ON PARTS OF WOOD HOUSE UNDER FLOOD

    Takahiro Tsuchimoto, Shigeru Hirano, Yuki Takadake p5559-5566 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • CONSIDERATIONS FOR GRADING SPECIES COMBINATIONS. GENERAL REMARKS ON SCENARIOS AND REQUIREMENTS.

    World Conference on Timber Engineering 2023 (WCTE 2023)

    CONSIDERATIONS FOR GRADING SPECIES COMBINATIONS. GENERAL REMARKS ON SCENARIOS AND REQUIREMENTS.

    Dan Ridley-Ellis, David Gil-Moreno, Annette M. Harte p780-786 from World Conference on Timber Engineering (WCTE 2023)
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  • CONSIDERATIONS FOR GRADING SPECIES COMBINATIONS. THE EXAMPLE OF DOUGLAS FIR WITH LARCH IN IRELAND AND UK

    World Conference on Timber Engineering 2023 (WCTE 2023)

    CONSIDERATIONS FOR GRADING SPECIES COMBINATIONS. THE EXAMPLE OF DOUGLAS FIR WITH LARCH IN IRELAND AND UK

    David Gil-Moreno, Dan Ridley-Ellis, Annette M. Harte p773-779 from World Conference on Timber Engineering (WCTE 2023)
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  • Consistency Diffusion Bridge Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistency Diffusion Bridge Models

    Fan Bao, Jianfei Chen, Guande He, Kaiwen Zheng, Jun Zhu p23516-23548 from Advances in Neural Information Processing Systems 37
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  • Consistency Models for Scalable and Fast Simulation-Based Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistency Models for Scalable and Fast Simulation-Based Inference

    Paul-Christian Bürkner, Ullrich Köthe, Valentin Pratz, Stefan Radev, Marvin Schmitt p126908-126945 from Advances in Neural Information Processing Systems 37
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  • Consistency of Constrained Spectral Clustering Under Graph Induced Fair Planted Partitions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistency of Constrained Spectral Clustering Under Graph Induced Fair Planted Partitions

    Ambedkar Dukkipati, Shubham Gupta p13527-13540 from Advances in Neural Information Processing Systems 35
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  • Consistency of Neural Causal Partial Identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistency of Neural Causal Partial Identification

    Jose Blanchet, Vasilis Syrgkanis, Jiyuan Tan p68956-68999 from Advances in Neural Information Processing Systems 37
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  • Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness

    Zhongzhu Chen, Kun Jin, Jiachen Lei, Bo Li, Yiquan Li, Jiongxiao Wang, Chaowei Xiao p105017-105038 from Advances in Neural Information Processing Systems 37
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  • Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards

    Silviu Pitis p2877-2893 from Advances in Neural Information Processing Systems 36
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  • Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

    Yuval Dagan, Giannis Daras, Constantinos Daskalakis, Alex Dimakis p42038-42063 from Advances in Neural Information Processing Systems 36
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  • Consistent Interpolating Ensembles Via the Manifold-Hilbert Kernel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Consistent Interpolating Ensembles Via the Manifold-Hilbert Kernel

    Clay Scott, Yutong Wang p3391-3402 from Advances in Neural Information Processing Systems 35
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