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718 Results
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Workshop
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Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Henry Moss · Victor Picheny · Hrvoje Stojic · Sebastian Ober · Artem Artemev · Andrei Paleyes · Sattar Vakili · Stratis Markou · Jixiang Qing · Nasrulloh Loka · Ivo Couckuyt |
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Poster
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Fri 16:30 |
Amortized Planning with Large-Scale Transformers: A Case Study on Chess Anian Ruoss · Grégoire Delétang · Sourabh Medapati · Jordi Grau-Moya · Kevin Li · Elliot Catt · John Reid · Cannada Lewis · Joel Veness · Tim Genewein |
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Poster
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Thu 11:00 |
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge Fang Dong · Mengyi Chen · Jixian Zhou · Yubin Shi · Yixuan Chen · Mingzhi Dong · Yujiang Wang · Dongsheng Li · Xiaochen Yang · Rui Zhu · Robert Dick · Qin Lv · Fan Yang · Tun Lu · Ning Gu · Li Shang |
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Workshop
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Gradient-free variational learning with conditional mixture networks Conor Heins · Hao Wu · Dimitrije Markovic · Alexander Tschantz · Jeff Beck · Christopher L Buckley |
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Workshop
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Amortizing intractable inference in diffusion models for Bayesian inverse problems Siddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yashar Hezaveh · Laurence Perreault-Levasseur · Yoshua Bengio · Glen Berseth · Nikolay Malkin |
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Poster
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Wed 16:30 |
MatFormer: Nested Transformer for Elastic Inference Fnu Devvrit · Sneha Kudugunta · Aditya Kusupati · Tim Dettmers · Kaifeng Chen · Inderjit Dhillon · Yulia Tsvetkov · Hanna Hajishirzi · Sham Kakade · Ali Farhadi · Prateek Jain |
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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 |
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Workshop
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Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models David Antony Selby · Kai Spriestersbach · Yuichiro Iwashita · Dennis Bappert · Archana Warrier · Sumantrak Mukherjee · Muhammad Asim · Koichi Kise · Sebastian Vollmer |
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Workshop
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Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |