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8 Results
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Workshop
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Sun 13:30 |
Large language models & quantum many-body physics: a case study Yasaman Bahri |
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Workshop
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Sat 9:09 |
Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces Siqi Chen · ZHIQIANG WANG · Xianqi Deng · Yili Shen · Cheng-Wei Ju · Jun Yi · Lin Xiong · Guo Ling · Dieaa Alhmoud · Hui Guan · Zhou Lin |
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Workshop
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Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces Siqi Chen · ZHIQIANG WANG · Xianqi Deng · Yili Shen · Cheng-Wei Ju · Jun Yi · Lin Xiong · Guo Ling · Dieaa Alhmoud · Hui Guan · Zhou Lin |
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Poster
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Fri 11:00 |
How many classifiers do we need? Hyunsuk Kim · Liam Hodgkinson · Ryan Theisen · Michael Mahoney |
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Poster
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Wed 11:00 |
The Many Faces of Optimal Weak-to-Strong Learning Mikael Møller Høgsgaard · Kasper Green Larsen · Markus Engelund Mathiasen |
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Poster
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Fri 16:30 |
Bayes-optimal learning of an extensive-width neural network from quadratically many samples Antoine Maillard · Emanuele Troiani · Simon Martin · Florent Krzakala · Lenka Zdeborová |
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Poster
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Fri 11:00 |
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook · Santosh Vempala · Matthew Zhang |
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Poster
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Fri 16:30 |
Many-shot Jailbreaking Cem Anil · Esin DURMUS · Nina Panickssery · Mrinank Sharma · Joe Benton · Sandipan Kundu · Joshua Batson · Meg Tong · Jesse Mu · Daniel Ford · Francesco Mosconi · Rajashree Agrawal · Rylan Schaeffer · Naomi Bashkansky · Samuel Svenningsen · Mike Lambert · Ansh Radhakrishnan · Carson Denison · Evan Hubinger · Yuntao Bai · Trenton Bricken · Timothy Maxwell · Nicholas Schiefer · James Sully · Alex Tamkin · Tamera Lanham · Karina Nguyen · Tomek Korbak · Jared Kaplan · Deep Ganguli · Samuel Bowman · Ethan Perez · Roger Grosse · David Duvenaud |