NeurIPS

Approximation-Generalization Trade-offs under (Approximate) Group Equivariance

Mircea Petrache, Shubhendu Trivedi

Comments 23 Pages. Updated to the published version. Advances in Neural Information Processing Systems 36, 61936-61959

Optimal packing of attractor states in neural representations

John J. Vastola

Comments Accepted to the NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations (NeurReps)

Journal ref Proceedings of the 2nd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023. PMLR link: https://proceedings.mlr.press/v228/vastola24a.html ; OpenReview link: https://openreview.net/forum?id=rmdSVvC1Qk

Transforming Simulation to Data Without Pairing

Eli Gendreau-Distler, Luc Le Pottier, Haichen Wang

Comments 5 pages, 3 figures. Conference paper for NEURIPS 2024

RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models

Pritthijit Nath, Henry Moss, Emily Shuckburgh, Mark Webb

Comments Accepted for poster presentation at the NeurIPS 2024 workshop on Tackling Climate Change with Machine Learning. 24 pages, 9 figures

Can Learned Optimization Make Reinforcement Learning Less Difficult?

Alexander David Goldie, Chris Lu, Matthew Thomas Jackson, Shimon Whiteson, Jakob Nicolaus Foerster

Comments Added Metadata for Neurips 2024

Journal ref Advances in Neural Information Processing Systems 37 (2024) 5454-5497

Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network

Chengyu Fang, Chunming He, Fengyang Xiao, Yulun Zhang, Longxiang Tang, Yuelin Zhang, Kai Li, Xiu Li

Comments Accepted at NeurIPS 2024 as a Spotlight Paper

Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems

John J. Vastola

Comments Accepted to the NeurIPS 2024 Workshop on Symmetry and Geometry in Neural Representations (NeurReps)

Journal ref Proceedings of the 3rd NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2024. https://openreview.net/forum?id=lLiIJc7oCJ

Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization

Gavin Zhang, Salar Fattahi, Richard Y. Zhang

Comments NeurIPS 2021. See also https://proceedings.neurips.cc/paper/2021/hash/2f2cd5c753d3cee48e47dbb5bbaed331-Abstract.html

TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation

Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo

Comments 24 pages, 16 figures, NeurIPS 2024

WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models

Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu

Comments NeurIPS'24

Linear Mode Connectivity in Sparse Neural Networks

Luke McDermott, Daniel Cummings

Comments Published in NeurIPS 2023 UniReps Workshop

GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping

Tianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong

Comments NeurIPS 2023

DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation

Hao Phung, Quan Dao, Trung Dao, Hoang Phan, Dimitris Metaxas, Anh Tran

Comments Accepted to NeurIPS 2024. Project page: https://vinairesearch.github.io/DiMSUM/

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition

Diego Perez-Liebana, Katja Hofmann, Sharada Prasanna Mohanty, Noboru Kuno, Andre Kramer, Sam Devlin, Raluca D. Gaina, Daniel Ionita

Comments 2 pages plus references

Journal ref Challenges in Machine Learning (NIPS Workshop), 2018

Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play

Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu

Comments spotlight @ neurips language gamification workshop. updated the problem description and added new online RL experiments in this version

Toward a Theory of Tokenization in LLMs

Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran

Comments 60 pages, 11 figures. This work was published at NeurIPS 2024 with a different title, "An Analysis of Tokenization: Transformers under Markov data"

Bandit Social Learning: Exploration under Myopic Behavior

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Aleksandrs Slivkins

Comments Extended version of NeurIPS 2023 paper titled "Bandit Social Learning under Myopic Behavior"

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Fanxu Meng, Zhaohui Wang, Muhan Zhang

Comments NeurIPS 2024 spotlight

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

Xing Han, Huy Nguyen, Carl Harris, Nhat Ho, Suchi Saria

Comments Published in NeurIPS 2024; 45 pages, 10 tables, 13 figures

FEABench: Evaluating Language Models on Multiphysics Reasoning Ability

Nayantara Mudur, Hao Cui, Subhashini Venugopalan, Paul Raccuglia, Michael P. Brenner, Peter Norgaard

Comments 39 pages. Accepted at the NeurIPS 2024 Workshops on Mathematical Reasoning and AI and Open-World Agents

The Transient Cost of Learning in Queueing Systems

Daniel Freund, Thodoris Lykouris, Wentao Weng

Comments A condensed preliminary version of this work, titled "Quantifying the Cost of Learning in Queueing Systems", was accepted for presentation at the Conference on Neural Information Processing Systems (NeurIPS 2023)

Tell What You Hear From What You See -- Video to Audio Generation Through Text

Xiulong Liu, Kun Su, Eli Shlizerman

Comments NeurIPS 2024. Project page: https://dragonliu1995.github.io/VATT-home

Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems

Dan Garber, Atara Kaplan

Comments This version corrects an error in the NeurIPS 2021 version: while the NeurIPS version provides convergence rates w.r.t. the best iterate, this corrected version provides the same rates but for the ergodic sequence

Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image

Yuki Kawana, Tatsuya Harada

Comments Accepted to NeurIPS 2023

On-line Policy Improvement using Monte-Carlo Search

Gerald Tesauro, Gregory R. Galperin

Comments Accompanied by oral presentation by Gregory Galperin at NeurIPS 1996 (then known as NIPS*96)

Journal ref Advances in Neural Information Processing 9 (NIPS 1996 Proceedings published 1997)

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation

Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia P. Sycara, Pradeep Kumar Ravikumar, Alexander G. Gray, Xujie Si, Sebastian Scherer

Comments 25 pages, 8 figures, In Advances in Neural Information Processing Systems (NeurIPS) 37 D&B Track (2024): 69840-69864

Journal ref Advances in Neural Information Processing Systems, 37, 69840-69864 (2024)

On learning higher-order cumulants in diffusion models

Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou

Comments 21 pages, many figures. Extended version of contribution awarded "best 'physics for AI' paper award" in the NeurIPS 2024 workshop "Machine Learning and the Physical Sciences"; v2: references and minor clarifications added, version to appear in Machine Learning: Science and Technology

Journal ref Mach.Learn.Sci.Tech. 6 (2025) 025004

Ordering-based Conditions for Global Convergence of Policy Gradient Methods

Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvari, Dale Schuurmans

Comments arXiv version for the NeurIPS 2023 paper; to be updated for a technical issue

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization

Huayang Huang, Yu Wu, Qian Wang

Comments Accept to NeurIPS 2024

Autofocused oracles for model-based design

Clara Fannjiang, Jennifer Listgarten

Comments 23 pages, 6 figures

Journal ref NeurIPS 2020