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Workshop
Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model
Yuuichi Asahi · Yuta Hasegawa · Naoyuki Onodera · Takashi Shimokawabe · Hayato Shiba · Yasuhiro Idomura
Workshop
Predicting Task Forgetting in Large Language Models
Anat Kleiman · Jonathan Frankle · Sham Kakade · Mansheej Paul
Poster
Thu 13:30 PFNs4BO: In-Context Learning for Bayesian Optimization
Samuel Gabriel Müller · Matthias Feurer · Noah Hollmann · Frank Hutter
Workshop
Towards Interpretable Classification of Leukocytes based on Deep Learning
Stefan Röhrl · Johannes Groll · Manuel Lengl · Simon Schumann · Christian Klenk · Dominik Heim · Martin Knopp · Oliver Hayden · Klaus Diepold
Workshop
Fri 18:30 How Can Neuroscience Help Us Build More Robust Deep Neural Networks?
Sayanton Dibbo · Siddharth Mansingh · Jocelyn Rego · Garrett T Kenyon · Juston Moore · Michael Teti
Poster
Tue 17:00 Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
Danruo Deng · Guangyong Chen · Yang YU · Furui Liu · Pheng Ann Heng
Poster
Wed 14:00 Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
Ryo Karakida · Tomoumi Takase · Tomohiro Hayase · Kazuki Osawa
Workshop
Repurposing Density Functional Theory to Suit Deep Learning
Alexander Mathiasen · Hatem Helal · Paul Balanca · Kerstin Klaeser · Josef Dean · Carlo Luschi · Dominique Beaini · Andrew Fitzgibbon · Dominic Masters
Poster
Thu 16:30 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
Fengxue Zhang · Jialin Song · James Bowden · Alexander Ladd · Yisong Yue · Thomas Desautels · Yuxin Chen
Workshop
BayesDAG: Gradient-Based Posterior Sampling for Causal Discovery
Yashas Annadani · Nick Pawlowski · Joel Jennings · Stefan Bauer · Cheng Zhang · Wenbo Gong
Workshop
INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations
Louis Serrano · Léon Migus · Yuan Yin · Jocelyn Mazari · Jean-Noël Vittaut · patrick gallinari
Workshop
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Tristan Deleu · Mizu Nishikawa-Toomey · Jithendaraa Subramanian · Nikolay Malkin · Laurent Charlin · Yoshua Bengio