Jakob Zech

activity

20232026

most citedDistribution learning via neural differential equations: a nonparametric statistical perspective

3 citations · 4 across the 5 of their papers we have counts for

collaborators

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2 papers · 1 filter

math.ST2026

Minimax Operator Learning for Holomorphic Maps between Hilbert Spaces

Ly Duc Hoang, Sven Wang, Jakob Zech

We consider the problem of learning nonlinear operators $G_{0} : X \to Y$ from finitely many noisy observations. While finite-regularity classes such as Lipschitz- or…

math.ST2026

Bayesian Operator Learning: Posterior Existence and Convergence of Point Estimates for Gaussian Priors

Niklas Reinhardt, Jakob Zech

We develop a Bayesian framework for learning nonlinear operators between infinite-dimensional spaces. Given a map $g_{0} : X \to Y$ between separable Hilbert spaces,…