Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks

10 August 2018

Papers citing "Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks"

15 / 15 papers shown

Title
Nesterov Acceleration for Ensemble Kalman Inversion and Variants Sydney Vernon Eviatar Bach Oliver R. A. Dunbar 39 1 0 15 Jan 2025
Training neural networks without backpropagation using particles Deepak Kumar 70 0 0 07 Dec 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 25 5 0 30 Jun 2024
Uncertainty quantification for deeponets with ensemble kalman inversion Andrew Pensoneault Xueyu Zhu 21 1 0 06 Mar 2024
Flow Annealed Kalman Inversion for Gradient-Free Inference in Bayesian Inverse Problems R. Grumitt M. Karamanis U. Seljak 29 1 0 20 Sep 2023
Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion Lucas Böttcher BDL 24 11 0 15 Jul 2023
Second Order Ensemble Langevin Method for Sampling and Inverse Problems Ziming Liu Andrew M. Stuart Yixuan Wang 24 6 0 09 Aug 2022
Variational Kalman Filtering with Hinf-Based Correction for Robust Bayesian Learning in High Dimensions Niladri Das J. Duersch Thomas A. Catanach 15 0 0 27 Apr 2022
Localization in Ensemble Kalman inversion Xin T. Tong Matthias Morzfeld 14 17 0 26 Jan 2022
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 38 100 0 26 Apr 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers A. Chattopadhyay M. Mustafa P. Hassanzadeh Eviatar Bach K. Kashinath AI4CE 16 25 0 16 Mar 2021
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks Shiwei Lan Shuyi Li B. Shahbaba UQCV BDL 17 16 0 11 Jan 2021
Mean-Field and Kinetic Descriptions of Neural Differential Equations Michael Herty T. Trimborn G. Visconti 20 6 0 07 Jan 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,613 0 19 Feb 2017
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 97 1,152 0 04 Mar 2015