Berkeley Lab’s machine learning experts will join the global AI and data science community in San Diego, California for NeurIPS 2025, one of the premier conferences on Information Processing Systems. From December 2-7, this multidisciplinary event will showcase cutting-edge research through invited talks, demos, and oral and poster presentations. The program also features a professional exposition, hands-on tutorials, and workshops offering a dynamic space for exchanging innovative ideas.

Explore our day-by-day guide below to discover how Berkeley Lab researchers are contributing to the future of machine learning at NeurIPS 2025.

Note: Berkeley Lab researchers are highlighted in bold.

TIMETYPESESSION / PRESENTATIONCONTRIBUTORSLOCATION
Tuesday 12/2
Wednesday 12/3
11 a.m. PST — 2 p.m. PSTPosterBlock-Biased Mamba for Long-Range Sequence ProcessingAnnan Yu · N. Benjamin ErichsonExhibit Hall C,D,E #4012
Thursday 12/4
11 a.m. PST — 2 p.m. PSTSpotlight PosterSpectral Estimation with Free DecompressionSiavash Ameli · Chris van der Heide · Liam Hodgkinson · Michael MahoneyExhibit Hall C,D,E #604
11 a.m. PST — 2 p.m. PSTPosterFAIR Universe HiggsML Uncertainty Dataset and CompetitionWahid Bhimji · Ragansu Chakkappai · Po-Wen Chang · Yuan-Tang Chou · Sascha Diefenbacher · Jordan Dudley · Ibrahim Elsharkawy · Steven Farrell · Aishik Ghosh · Cristina Giordano · Isabelle Guyon · Chris Harris · Yota Hashizume · Shih-Chieh Hsu · Elham E Khoda · Claudius Krause · Ang Li · Benjamin Nachman · David Rousseau · Robert Schöfbeck · Maryam Shooshtari · Dennis Schwarz · Ihsan Ullah · Daohan Wang · Yulei ZhangExhibit Hall C,D,E #2210
4:30 p.m. PST — 7:30 p.m. PSTPosterMitra: Mixed Synthetic Priors for Enhancing Tabular Foundation ModelsXiyuan Zhang · Danielle Maddix Robinson · Junming Yin · Nick Erickson · Abdul Fatir Ansari · Boran Han · Shuai Zhang · Leman Akoglu · Christos Faloutsos · Michael Mahoney · Tony Hu · Huzefa Rangwala · George Karypis · Yuyang (Bernie) WangExhibit Hall C,D,E #2711
Friday 12/5
11 a.m. PST — 2 p.m. PSTSpotlight PosterMLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark PlatformYuan Chiang · Tobias Kreiman · Christine Zhang · Matthew Kuner · Elizabeth Weaver · Ishan Amin · Hyunsoo Park · Yunsung Lim · Jihan Kim · Daryl Chrzan · Aron Walsh · Samuel Blau · Mark Asta · Aditi Krishnapriyan
Exhibit Hall C,D,E #2103
11 a.m. PST — 2 p.m. PSTPosterNon-stationary Equivariant Graph Neural Networks for Physical Dynamics SimulationChaohao Yuan · Maoji Wen · Ercan KURUOGLU · Yang Liu · Jia Li · Tingyang Xu · Deli Zhao · Hong Cheng · Yu Ron
Exhibit Hall C,D,E #1502
4:30 p.m. PST — 7:30 p.m. PSTPosterMultipole Attention for Efficient Long Context ReasoningColeman Hooper · Sebastian Zhao · Luca Manolache · Sehoon Kim · Michael Mahoney · Sophia Shao · Kurt Keutzer · Amir GholamiExhibit Hall C,D,E #3518
Saturday 12/6
8 a.m. PST — 5 p.m. PSTWorkshopMachine Learning and the Physical SciencesNicole Hartman · Garrett Merz · Vinicius Mikuni · Mariel Pettee · Sebastian Wagner-Carena · Antoine Wehenkel · Atilim Gunes Baydin · Kyle Cranmer · Siddharth Mishra-Sharma · Benjamin Nachman · Brian Nord · Savannah ThaisUpper Level Ballroom 6CF
8 a.m. PST — 5 p.m. PSTWorkshop Paper & PosterAgentic AI at the Advanced Light Source (Part of Machine Learning and the Physical Sciences)Thorsten Hellert, João Montenegro, Antonin SulcUpper Level Ballroom 6CF
8 a.m. PST — 5 p.m. PSTWorkshop PaperSciML Agents: Write the Solver, Not the Solution (Part of MATH-AI: The 5th Workshop on Mathematical Reasoning and AI)Saarth Gaonkar · Xiang Zheng · Haocheng Xi · Rishabh Tiwari · Kurt Keutzer · Dmitriy Morozov · Michael Mahoney · Amir GholamiUpper Level Ballroom 6A
Sunday 12/7
8 a.m. PST — 5 p.m. PSTWorkshop PaperEfficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models (Part of Recent Advances in Time Series Foundation Models: Have We Reached the ‘BERT Moment’?)Ethan Baron · Boris Oreshkin · Ruijun Ma · Hanyu Zhang · Kari Torkkola · Michael Mahoney · Andrew Wilson · Tatiana KonstantinovaUpper Level Room 3
8 a.m. PST — 5 p.m. PSTWorkshop PaperA More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models (Part of Recent Advances in Time Series Foundation Models: Have We Reached the ‘BERT Moment’?)in G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Boris N. Oreshkin, Andrew Gordon Wilson, Ravi Kiran Vadlamani, Andres Potapczynski, Willa Potosnak, Michael W. Mahoney, Mengfei Cao, Dmitry EfimovUpper Level Room 3
11 a.m. PST — 1:45 p.m. PSTCompetitionFAIR Universe: Handling Uncertainties and Distribution Shifts for Precision Cosmology Biwei Dai · Po-Wen Chang · Wahid Bhimji · Paolo Calafiura · Ragansu Chakkappai · Yuan-Tang Chou · Sascha Diefenbacher · Steven Farrell · Isabelle Guyon · Chris Harris · Elham E Khoda · Benjamin Nachman · David Rousseau · Uros Seljak · Ihsan Ullah · Yulei Zhang · Jordan DudleyExhibit Hall G,H

Last edited: November 24, 2025