52 citations · 270 across the 19 of their papers we have counts for
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Subsampling Error in Stochastic Gradient Langevin Diffusions
Kexin Jin, Chenguang Liu, Jonas Latz
The Stochastic Gradient Langevin Dynamics (SGLD) are popularly used to approximate Bayesian posterior distributions in statistical learning procedures with large-scale data. As opp…
Can Physics-Informed Neural Networks beat the Finite Element Method?
Tamara G. Grossmann, Urszula Julia Komorowska, Jonas Latz +1
Partial differential equations play a fundamental role in the mathematical modelling of many processes and systems in physical, biological and other sciences. To simulate such proc…
Subsampling in ensemble Kalman inversion
Matei Hanu, Jonas Latz, Claudia Schillings
We consider the Ensemble Kalman Inversion which has been recently introduced as an efficient, gradient-free optimisation method to estimate unknown parameters in an inverse setting…