2 citations · 3 across the 9 of their papers we have counts for
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stat.ML2024★ 1 cited
Machine Learning for Inverse Problems and Data Assimilation
Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso +1
The aim of this book is to demonstrate the potential for ideas in machine learning to impact on the fields of inverse problems and data assimilation. The perspective is one that is…
cs.LG2024★ 2 cited
Learning Optimal Filters Using Variational Inference
Eviatar Bach, Ricardo Baptista, Enoch Luk +1
Filtering - the task of estimating the conditional distribution for states of a dynamical system given partial and noisy observations - is important in many areas of science and en…