Nüsken, Nikolas

7 publications

ICML 2025 Conditioning Diffusions Using Malliavin Calculus Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken

JMLR 2024 From Continuous-Time Formulations to Discretization Schemes: Tensor Trains and Robust Regression for BSDEs and Parabolic PDEs Lorenz Richter, Leon Sallandt, Nikolas Nüsken

ICLR 2024 Transport Meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken

JMLR 2023 On the Geometry of Stein Variational Gradient Descent Andrew Duncan, Nikolas Nüsken, Lukasz Szpruch

ICMLW 2023 Transport, VI, and Diffusions Francisco Vargas, Nikolas Nüsken

ICML 2021 Solving High-Dimensional Parabolic PDEs Using the Tensor Train Format Lorenz Richter, Leon Sallandt, Nikolas Nüsken

NeurIPS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco Ruiz, Omer Deniz Akyildiz