Paper

  • Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

    Jian Kang, Arjun Subramonian, Yizhou Sun p8193-8239 from Advances in Neural Information Processing Systems 37
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  • THEORETICAL AND EXPERIMENTAL INVESTIGATION ON PREDICTING LONGITUDINAL AND TANGENTIAL ELASTIC CONSTANTS AND RATIOS OF WOOD

    World Conference on Timber Engineering 2023 (WCTE 2023)

    THEORETICAL AND EXPERIMENTAL INVESTIGATION ON PREDICTING LONGITUDINAL AND TANGENTIAL ELASTIC CONSTANTS AND RATIOS OF WOOD

    Shaghayegh Kurzinski, Paul L. Crovella p376-382 from World Conference on Timber Engineering (WCTE 2023)
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  • THEORETICAL AND EXPERIMENTAL STUDY OF FLASH TANK IN A HEAT PUMP BASED STEAM GENERATION – PART 1

    ECOS 2024

    THEORETICAL AND EXPERIMENTAL STUDY OF FLASH TANK IN A HEAT PUMP BASED STEAM GENERATION – PART 1

    Wassim Jouni, Yannick Beucher, Assaad Zoughaib p1002-1010 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • THEORETICAL AND EXPERIMENTAL STUDY OF FLASH TANK IN A HEAT PUMP BASED STEAM GENERATION – PART 2

    ECOS 2024

    THEORETICAL AND EXPERIMENTAL STUDY OF FLASH TANK IN A HEAT PUMP BASED STEAM GENERATION – PART 2

    Wassim Jouni, Yannick Beucher, Assaad Zoughaib p1011-1022 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Theoretical and Practical Perspectives on what Influence Functions Do

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical and Practical Perspectives on what Influence Functions Do

    Katja Filippova, Andrea Schioppa, Ivan Titov, Polina Zablotskaia p27560-27581 from Advances in Neural Information Processing Systems 36
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  • Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks

    Aurelien Lucchi, Sidak Pal Singh, Jim Zhao p114965-115000 from Advances in Neural Information Processing Systems 37
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  • Theoretical Foundations of Deep Selective State-Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical Foundations of Deep Selective State-Space Models

    Terry Lyons, Nicola Muca Cirone, Antonio Orvieto, Cristopher Salvi, Benjamin Walker p127226-127272 from Advances in Neural Information Processing Systems 37
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  • Theoretical guarantees in KL for Diffusion Flow Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical guarantees in KL for Diffusion Flow Matching

    Giovanni Conforti, Alain Durmus, Marta Silveri p138432-138473 from Advances in Neural Information Processing Systems 37
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  • Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning

    Dong Liang, Yiqin Lv, Qi Wang, Zheng Xie p82921-82961 from Advances in Neural Information Processing Systems 37
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  • Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques

    Peter Richtarik, Mher Safaryan, Bokun Wang p9841-9852 from Advances in Neural Information Processing Systems 35
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  • Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation

    Yatong Sun, Zhu Sun, Bin Wang, Yan Wang, Xiaochun Yang p2850-2876 from Advances in Neural Information Processing Systems 36
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  • Theoretically Provable Spiking Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretically Provable Spiking Neural Networks

    Shao-Qun Zhang, Zhi-Hua Zhou p19345-19356 from Advances in Neural Information Processing Systems 35
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