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144 Results
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Workshop
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Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter · Sascha Bongni · Ido Hakimi · Andreas Krause |
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Workshop
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Meta-Learned Bayesian Optimization for Energy Yield in Inertial Confinement Fusion Vineet Gundecha · Ricardo Luna Gutierrez · Sahand Ghorbanpour · Desik Rengarajan · Rahman Ejaz · Varchas Gopalaswamy · Riccardo Betti · Soumyendu Sarkar |
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Workshop
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The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner · Maike Behrendt · Marc Ziegele · Stefan Harmeling |
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Workshop
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Joint Learning for Visual Reconstruction from the Brain Activity: Hierarchical Representation of Image Perception with EEG-Vision Transformer Ali Ackbari · Kosar Arani · Tony Muhammad Yousefnezhad · Maryam Mirian · Emad Arasteh |
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Poster
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Wed 11:00 |
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks Tian Qiu · Chenchao Gao · Zunlei Feng · Jie Lei · Bingde Hu · Xingen Wang · Yi Gao · Mingli Song |
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Poster
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Wed 11:00 |
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker · Lu Mi · Marton Rozsa · Matthew Bull · Karel Svoboda · Kayvon Daie · Matthew Golub · Kevin Jamieson |
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Workshop
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Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasks Madeline Brumley · Joe Kwon · David Krueger · Dmitrii Krasheninnikov · Usman Anwar |
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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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Poster
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Thu 11:00 |
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations David Schneider · Simon Reiß · Marco Kugler · Alexander Jaus · Kunyu Peng · Susanne Sutschet · M. Saquib Sarfraz · Sven Matthiesen · Rainer Stiefelhagen |
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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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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 |