Paper

  • 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, Vikas Garg, Amauri Souza 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

    Krishnendu Chatterjee, Thomas Henzinger, Mathias Lechner, Abhinav Verma, Ðorde Žikelic 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

    Sebastiaan De Peuter, Vikas Garg, Timur Garipov, Tommi Jaakkola, Samuel Kaski, Ge Yang p12665-12702 from Advances in Neural Information Processing Systems 36
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  • COMPREHENSIVE STUDY ON FLOATING OFFSHORE WIND POTENTIAL OFF THE IRISH COAST

    ECOS 2024

    COMPREHENSIVE STUDY ON FLOATING OFFSHORE WIND POTENTIAL OFF THE IRISH COAST

    Krzysztof Szczepaniec, Fergal O'Rourke, Peter Ryan p1761-1772 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Compressed Video Prompt Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compressed Video Prompt Tuning

    Xiuguo Bao, Jiaxin Chen, Di Huang, Bing Li 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

    Xiaokang Chen, Jiaxiang Tang, 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

    Andrea Goldsmith, Mert Pilanci, Naomi Sagan, Rajarshi Saha, Varun Srivastava 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

    Zhibo Chen, Gergely Flamich, Zongyu Guo, Jiajun He, José Miguel Hernández-Lobato p1938-1956 from Advances in Neural Information Processing Systems 36
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  • COMPRESSIVE BEHAVIOR OF TIMBER AT DIFFERENT ORIENTATIONS TO THE GRAIN

    World Conference on Timber Engineering 2025

    COMPRESSIVE BEHAVIOR OF TIMBER AT DIFFERENT ORIENTATIONS TO THE GRAIN

    Marina Totsuka, Rina Okada, Kenji Aoki p5470-5477 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • COMPRESSIVE LOADING TEST AND BURNING TEST OF STEEL BAR-TIMBER COMPOSITE COLUMNS

    World Conference on Timber Engineering 2025

    COMPRESSIVE LOADING TEST AND BURNING TEST OF STEEL BAR-TIMBER COMPOSITE COLUMNS

    Rin Kamimakise, Toshihisa Ishii, Shinichi Shioya p961-970 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • COMPRESSIVE MECHANICAL PROPERTIES OF RADIATA PINE GRADED SAWN TIMBER CONSIDERING STRAIN RATE EFFECTS IN PROGRESSIVE COLLAPSE AND EARTHQUAKE EVENTS

    World Conference on Timber Engineering 2025

    COMPRESSIVE MECHANICAL PROPERTIES OF RADIATA PINE GRADED SAWN TIMBER CONSIDERING STRAIN RATE EFFECTS IN PROGRESSIVE COLLAPSE AND EARTHQUAKE EVENTS

    Ayon Das, Nasim Ghasemi, Benoit P. Gilbert, Hong Guan, Chuen Yiu Lo, Minghao Li, Frank Lam p1017-1025 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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