Lorenz Richter

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Gradient Estimators

Diffusion Models

Importance Sampling

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Ludwig Winkler, Lorenz Richter, Manfred Opper
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models. CoRR (2024)
Lorenz Richter, Julius Berner
Improved sampling via learned diffusions. ICLR (2024)
Julius Berner, Lorenz Richter, Karen Ullrich
An optimal control perspective on diffusion-based generative modeling. Trans. Mach. Learn. Res. 2024 (2024)
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel
Fast and Unified Path Gradient Estimators for Normalizing Flows. CoRR (2024)
Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar
Dynamical Measure Transport and Neural PDE Solvers for Sampling. CoRR (2024)
Joana Reuss, Jan MacDonald, Simon Becker, Lorenz Richter, Marco Körner
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification. CoRR (2024)
Enric Ribera Borrell, Jannes Quer, Lorenz Richter, Christof Schütte
Improving Control Based Importance Sampling Strategies for Metastable Diffusions via Adapted Metadynamics. SIAM J. Sci. Comput. 46 (2) (2024)
Carsten Hartmann, Lorenz Richter
Nonasymptotic Bounds for Suboptimal Importance Sampling. SIAM/ASA J. Uncertain. Quantification 12 (2) (2024)
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel
Fast and unified path gradient estimators for normalizing flows. ICLR (2024)
Carsten Hartmann, Lorenz Richter
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness. CoRR (2023)
Lorenz Richter, Julius Berner, Guan-Horng Liu
Improved sampling via learned diffusions. CoRR (2023)
Frank Weilandt, Robert Behling, Romulo Goncalves, Arash Madadi, Lorenz Richter, Tiago Sanona, Daniel Spengler, Jona Welsch
Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention. Remote. Sens. 15 (3) (2023)
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs. CoRR (2023)
Julius Berner, Lorenz Richter, Karen Ullrich
An optimal control perspective on diffusion-based generative modeling. CoRR (2022)
Lorenz Richter, Julius Berner
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning. ICML (2022)
Lorenz Richter, Julius Berner
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning. CoRR (2022)
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
Solving high-dimensional parabolic PDEs using the tensor train format. ICML (2021)
Carsten Hartmann, Lorenz Richter
Nonasymptotic bounds for suboptimal importance sampling. CoRR (2021)
Lorenz Richter, Leon Sallandt, Nikolas Nüsken
Solving high-dimensional parabolic PDEs using the tensor train format. CoRR (2021)
Nikolas Nüsken, Lorenz Richter
Interpolating between BSDEs and PINNs - deep learning for elliptic and parabolic boundary value problems. CoRR (2021)
Simon Becker, Lorenz Richter
Model Order Reduction for (Stochastic-) Delay Equations With Error Bounds. CoRR (2020)
Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. NeurIPS (2020)
Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. CoRR (2020)
Nikolas Nüsken, Lorenz Richter
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space. CoRR (2020)
Simon Becker, Carsten Hartmann, Martin Redmann, Lorenz Richter
Feedback control theory & Model order reduction for stochastic equations. CoRR (2019)
Carsten Hartmann, Lorenz Richter, Christof Schütte, Wei Zhang
Variational Characterization of Free Energy: Theory and Algorithms. Entropy 19 (11) (2017)