Researchers from Argonne National Laboratory’s Mathematics and Computer Science Division will bring their expertise, insights, and new ideas to the Neural Information Processing Systems (NeurIPS) 2024 Conference!
NeuroIPS, hosted in Vancouver this year, brings together some of the sharpest minds and thought leaders in artificial intelligence and machine learning for a week of collaboration and intellectual exchange.
Explore Argonne’s contributions to NeurIPS 2024:
Names bolded in recognition of Argonne researchers
December 12
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Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
Poster
December 12, 2024
11 a.m. – 2 p.m. PSTLearn more
Presenters: Nguyen Tung, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, and Aditya Grover.
December 13
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SparseLLM: Towards Global Pruning of Pre-trained Language Models
Poster Session
December 13, 2024
11 a.m. – 2 p.m. PSTLearn more
Presenters: Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, and Liang Zhao.
December 14
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Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
Workshop : Statistical Frontiers in LLMs and Foundation Models
December 14, 2024Learn more
Presenters: Chen, Zizhang, Pengyu Hong, Sandeep Madireddy.
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A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
Workshop: NeurIPS 2024 Workshop on Statistical Foundations of LLMs and Foundation Models (SFLLM)
December 14, 2024
Learn more
Presenters: Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth
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Now how do I make this? AI for materials synthesis and manufacturing
Workshop: Invited Talk – AI for Accelerated Materials Design Workshop
December 14, 2024
3:30 – 3:45 p.m. PSTLearn more
Presenter: Angel Yanguas-Gil
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Atomic Layer Deposition Optimization via Targeted Adaptive Design
Workshop: Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design
December 14, 2024Learn more
Presenters: Marieme Ngom, Carlo Graziani, Noah Paulson -
Machine Learning and the Physical Sciences Workshop
Argonne Reviewers: Sandeep Madireddy
December 15
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From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption
Workshop: Paper Spotlight – Time Series in the Age of Large Models Workshop
December 15, 2024Learn more
Presenters:Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, and Kibaek Kim.
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Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
Workshop: Machine Learning and the Physical Sciences
December 15, 2024Learn more
Presenters:Canberk Ekmekci, Tekin Bicer, Zichao (Wendy) Di, Junjing Deng, Mujdat Cetin
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WildfireGPT: Tailored Large Language Model for Wildfire Analysis
Workshop: Tackling Climate Change with Machine Learning Workshop
December 15, 2024Learn more
Presenters:Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, Joshua David Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie Su, Camillo J. Taylor
Argonne National Laboratory seeks solutions to pressing national problems in science and technology by conducting leading-edge basic and applied research in virtually every scientific discipline. Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.
The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science.