Paper

  • A Numerical Analysis of Transport Phenomena in a Banded Solid Oxide Fuel Cell Stack

    ECOS 2023

    A Numerical Analysis of Transport Phenomena in a Banded Solid Oxide Fuel Cell Stack

    Karol Sreniawski, Marcin Mozdzierz, Grzegorz Brus, Janusz S. Szmyd p938-954 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment

    Fei Fang, Steven Jecmen, Zimeng Song, Yixuan Xu p14445-14468 from Advances in Neural Information Processing Systems 36
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  • A PAC-Bayesian Generalization Bound for Equivariant Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A PAC-Bayesian Generalization Bound for Equivariant Networks

    Arash Behboodi, Gabriele Cesa, Taco Cohen p5654-5668 from Advances in Neural Information Processing Systems 35
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  • A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness

    Kwun Chuen Gary Chan, Jiangyuan Li, Jiayi Wang, Raymond K. W. Wong p10735-10769 from Advances in Neural Information Processing Systems 37
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  • A Partially-Supervised Reinforcement Learning Framework for Visual Active Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Partially-Supervised Reinforcement Learning Framework for Visual Active Search

    Nathan Jacobs, Anindya Sarkar, Yevgeniy Vorobeychik p12245-12270 from Advances in Neural Information Processing Systems 36
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  • A Path to Simpler Models Starts With Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Path to Simpler Models Starts With Noise

    Harry Chen, Ronald Parr, Cynthia Rudin, Lesia Semenova p3362-3401 from Advances in Neural Information Processing Systems 36
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  • A PERFORMANCE-BASED DESIGN AND STOCHASTIC ANALYSIS APPROACH FOR DETERMINING THE ALLOWABLE PERCENTAGE OF EXPOSED STRUCTURAL MASS TIMBER IN BUILDING.

    World Conference on Timber Engineering 2025

    A PERFORMANCE-BASED DESIGN AND STOCHASTIC ANALYSIS APPROACH FOR DETERMINING THE ALLOWABLE PERCENTAGE OF EXPOSED STRUCTURAL MASS TIMBER IN BUILDING.

    François Consigny, El Mehdi Koutaiba, Manuel Manthey, Cyril Douthe, Robert Leroy p2132-2137 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

    C. Bayan Bruss, Valeriia Cherepanova, Jonas Geiping, Micah Goldblum, Tom Goldstein, Roman Levin, Gowthami Somepalli, Andrew Wilson p41956-41979 from Advances in Neural Information Processing Systems 36
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  • A Permutation-Free Kernel Two-Sample Test

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Permutation-Free Kernel Two-Sample Test

    Ilmun Kim, Aaditya Ramdas, Shubhanshu Shekhar p18168-18180 from Advances in Neural Information Processing Systems 35
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  • A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention

    Freya Behrens, Hugo Cui, Florent Krzakala, Lenka Zdeborová p36342-36389 from Advances in Neural Information Processing Systems 37
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  • A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration

    Linbo Xie, Siyuan Zhang p114744-114764 from Advances in Neural Information Processing Systems 37
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  • A Polar coordinate system represents syntax in large language models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Polar coordinate system represents syntax in large language models

    Emmanuel Chemla, Stéphane D'Ascoli, Pablo Diego-Simón, Jean-Rémi King, Yair Lakretz p105375-105396 from Advances in Neural Information Processing Systems 37
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