Lorenz Richter
10 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
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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Bronze ๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (16)
๐
Keyword Champion
(2)
๐๏ธ
Keyword Collector
(55)
๐
Century Club ยท Bronze
Venues
Top co-authors
Research topics
Keywords
sampling method
(2)
variational formulation
(2)
backward stochastic differential equation
(2)
variational inference
(2)
tensor train
(2)
gradient estimator
(2)
low-rank approximation
(1)
tensor decomposition
(1)
optimal transport
(1)
variance reduction
(1)
curse of dimensionality
(1)
score matching
(1)
score function
(1)
diffusion model
(1)
markov jump processes
(1)
deep learning
(1)
control variate
(1)
stochastic differential equation
(1)
stochastic control
(1)
normalizing flow
(1)
Papers
Reinforcement Learning with Random Time Horizons
ICML 2025
Sequential Controlled Langevin Diffusions
ICLR 2025
Underdamped Diffusion Bridges with Applications to Sampling
ICLR 2025
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
ICML 2024
Fast and unified path gradient estimators for normalizing flows
ICLR 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
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
NeurIPS 2020