Papers citing 'Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks'

Title
Learning Stochastic Thermodynamics Directly from Correlation and Trajectory-Fluctuation Currents Jinghao Lyu Kyle J. Ray James P. Crutchfield AI4CE 173 3 0 26 Apr 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 321 12 0 30 Mar 2025
A Primer on Bayesian Neural Networks: Review and Debates Federico Danieli Konstantinos Pitas M. Vladimirova Vincent Fortuin BDL AAML 203 34 0 28 Sep 2023
How Tempering Fixes Data Augmentation in Bayesian Neural NetworksInternational Conference on Machine Learning (ICML), 2022 Gregor Bachmann Lorenzo Noci Thomas Hofmann BDL AAML 225 11 0 27 May 2022
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization Sungyoon Lee Hoki Kim Jaewook Lee AAML 205 68 0 06 Jul 2021
Machine Learning Force Fields Oliver T. Unke Stefan Chmiela H. E. Sauceda M. Gastegger I. Poltavsky Kristof T. Schütt A. Tkatchenko K. Müller AI4CE 305 1,118 0 14 Oct 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning UsersIEEE Computational Intelligence Magazine (IEEE CIM), 2020 Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 458 762 0 14 Jul 2020
Detection of Gravitational Waves Using Bayesian Neural Networks Yu-Chiung Lin Jiun-Huei Proty Wu 202 29 0 08 Jul 2020
Learning entropy production via neural networksPhysical Review Letters (PRL), 2020 Dong-Kyum Kim Youngkyoung Bae Sangyun Lee Hawoong Jeong 283 45 0 09 Mar 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep LearningInternational Conference on Learning Representations (ICLR), 2020 Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 447 341 0 15 Feb 2020
Uncertainty Quantification with Statistical Guarantees in End-to-End Autonomous Driving ControlIEEE International Conference on Robotics and Automation (ICRA), 2019 Rhiannon Michelmore Matthew Wicker Luca Laurenti L. Cardelli Y. Gal Marta Z. Kwiatkowska BDL 231 116 0 21 Sep 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 599 899 0 07 Feb 2019
Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksJournal of Computational Physics (JCP), 2018 Jianlong Wu P. Perdikaris AI4CE PINN 266 386 0 09 Nov 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 218 180 0 01 Oct 2018
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 1.3K 5,247 0 04 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep LearningInternational Conference on Machine Learning (ICML), 2015 Y. Gal Zoubin Ghahramani UQCV BDL 1.9K 10,523 0 06 Jun 2015
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.4K 160,277 0 22 Dec 2014