Nikolas Nüsken
6 papers · 2020–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
tensor train
(2)
backward stochastic differential equation
(2)
variational inference
(2)
optimal transport
(2)
low-rank approximation
(1)
probability distribution
(1)
reproducing kernel hilbert space
(1)
stochastic control
(1)
curse of dimensionality
(1)
score function
(1)
diffusion model
(1)
gradient flow
(1)
control variate
(1)
gradient estimator
(1)
diffusion bridge
(1)
high-dimensional pde
(1)
variational formulation
(1)
monte carlo method
(1)
stein variational gradient descent
(1)
high-dimensional problem
(1)
Papers
Conditioning Diffusions Using Malliavin Calculus
ICML 2025
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
JMLR 2024
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
ICLR 2024
On the geometry of Stein variational gradient descent
JMLR 2023
Solving high-dimensional parabolic PDEs using the tensor train format
ICML 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
NeurIPS 2020