Nikolas Nüsken
6 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (15) 🗺️ Taxonomy Completionist (10)
🧭
Keyword Pioneer
Conferences
ICML (2)
JMLR (2)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
tensor train
(2)
backward stochastic differential equation
(2)
bayesian inference
(1)
optimal transport
(1)
tensor decomposition
(1)
low-rank approximation
(1)
probability distribution
(1)
reproducing kernel hilbert space
(1)
stochastic control
(1)
curse of dimensionality
(1)
score function
(1)
gradient flow
(1)
control variate
(1)
gradient estimator
(1)
high-dimensional pde
(1)
variational formulation
(1)
stein variational gradient descent
(1)
high-dimensional problem
(1)
particle system
(1)
interacting particle system
(1)
Papers
Conditioning Diffusions Using Malliavin Calculus
ICML 2025
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
ICLR 2024
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
JMLR 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
NIPS 2020