Nikolas Nüsken

Available identifiers

Publication	Date of Publication	Type
Stein variational gradient descent: many-particle and long-time asymptotics	2024-02-14	Paper
Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering	2024-01-19	Paper
Bayesian learning via neural Schrödinger-Föllmer flows	2022-12-09	Paper
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space	2021-12-17	Paper
Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems	2021-12-07	Paper
Hypocoercivity of piecewise deterministic Markov process-Monte Carlo	2021-11-04	Paper
Affine Invariant Interacting Langevin Dynamics for Bayesian Inference	2021-02-25	Paper
On the geometry of Stein variational gradient descent	2019-12-02	Paper
Note on Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler by Garbuno-Inigo, Hoffmann, Li and Stuart	2019-08-28	Paper
Constructing Sampling Schemes via Coupling: Markov Semigroups and Optimal Transport	2019-08-12	Paper
State and Parameter Estimation from Observed Signal Increments	2019-03-26	Paper
Using perturbed underdamped Langevin dynamics to efficiently sample from probability distributions	2018-03-01	Paper

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