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33 Results

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Workshop
Solar Flare Forecasting with Data-driven Interpretable Model
JiaMeng Lv · Peng Jia · 陈风 · 杨过 · Tie Liu
Poster
Thu 9:00 Training stochastic stabilized supralinear networks by dynamics-neutral growth
Wayne Soo · Mate Lengyel
Poster
Wed 9:00 Logical Credal Networks
Radu Marinescu · Haifeng Qian · Alexander Gray · Debarun Bhattacharjya · Francisco Barahona · Tian Gao · Ryan Riegel · Pravinda Sahu
Workshop
Bayesian parameter inference of a vortically perturbed flame model for the prediction of thermoacoustic instability
Max Croci · Joel Vasanth · Ushnish Sengupta · Ekrem Ekici · Matthew Juniper
Poster
Thu 9:00 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv · Micah Goldblum · Hossein Souri · Sanyam Kapoor · Chen Zhu · Yann LeCun · Andrew Wilson
Poster
Wed 9:00 Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
Alexander Immer · Tycho van der Ouderaa · Gunnar Rätsch · Vincent Fortuin · Mark van der Wilk
Poster
Para-CFlows: Ck-universal diffeomorphism approximators as superior neural surrogates
Junlong Lyu · Zhitang Chen · Chang Feng · Wenjing Cun · Shengyu Zhu · Yanhui Geng · ZHIJIE XU · Chen Yongwei
Workshop
Neural Network Online Training with Sensitivity to Multiscale Temporal Structure
Matt Jones · Tyler Scott · Gamaleldin Elsayed · Mengye Ren · Katherine Hermann · David Mayo · Michael Mozer
Poster
Thu 9:00 Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation
Hengguan Huang · Xiangming Gu · Hao Wang · Chang Xiao · Hongfu Liu · Ye Wang