Lorenz Richter
10 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Cross-Pollinator (14) π Interdisciplinary Bridge π Conference Polyglot (4) π§ Keyword Pioneer
π
Keyword Champion
(2)
π
Century Club
(10)
Conferences
ICLR (4)
ICML (4)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
backward stochastic differential equation
(2)
gradient estimator
(2)
tensor train
(2)
variational formulation
(2)
tensor decomposition
(1)
low-rank approximation
(1)
stochastic control
(1)
curse of dimensionality
(1)
score function
(1)
partial differential equation
(1)
stochastic differential equation
(1)
control variate
(1)
high-dimensional pde
(1)
monte carlo method
(1)
high-dimensional problem
(1)
tensor train format
(1)
monte carlo
(1)
numerical method
(1)
parabolic pde
(1)
robust regression
(1)
Papers
Reinforcement Learning with Random Time Horizons
ICML 2025
Underdamped Diffusion Bridges with Applications to Sampling
ICLR 2025
Sequential Controlled Langevin Diffusions
ICLR 2025
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
ICML 2024
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs
JMLR 2024
Improved sampling via learned diffusions
ICLR 2024
Fast and unified path gradient estimators for normalizing flows
ICLR 2024
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
ICML 2022
Solving high-dimensional parabolic PDEs using the tensor train format
ICML 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
NIPS 2020