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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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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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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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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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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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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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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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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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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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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

A polar prediction model for learning to represent visual transformations

Pierre-étienne Fiquet, Eero Simoncelli p78791-78807 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Jiang Li, Jianxiong Li, Haoran Xu, Xianyuan Zhan p4085-4098 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

A Practical, Progressively-Expressive GNN

Leman Akoglu, Neil Shah, Lingxiao Zhao p34106-34120 from Advances in Neural Information Processing Systems 35

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