default search action
Lorenz Richter
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j6]Lorenz Richter, Leon Sallandt, Nikolas Nüsken:
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs. J. Mach. Learn. Res. 25: 248:1-248:40 (2024) - [j5]Carsten Hartmann, Lorenz Richter:
Nonasymptotic Bounds for Suboptimal Importance Sampling. SIAM/ASA J. Uncertain. Quantification 12(2): 309-346 (2024) - [j4]Enric Ribera Borrell
, Jannes Quer, Lorenz Richter
Improving Control Based Importance Sampling Strategies for Metastable Diffusions via Adapted Metadynamics. SIAM J. Sci. Comput. 46(2): S298-S323 (2024) - [j3]Julius Berner, Lorenz Richter, Karen Ullrich:
An optimal control perspective on diffusion-based generative modeling. Trans. Mach. Learn. Res. 2024 (2024) - [c6]Lorenz Richter, Julius Berner:
Improved sampling via learned diffusions. ICLR 2024 - [c5]Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel:
Fast and unified path gradient estimators for normalizing flows. ICLR 2024 - [c4]Ludwig Winkler, Lorenz Richter, Manfred Opper:
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models. ICML 2024 - [i16]Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel:
Fast and Unified Path Gradient Estimators for Normalizing Flows. CoRR abs/2403.15881 (2024) - [i15]Ludwig Winkler, Lorenz Richter, Manfred Opper:
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models. CoRR abs/2405.03549 (2024) - [i14]Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar:
Dynamical Measure Transport and Neural PDE Solvers for Sampling. CoRR abs/2407.07873 (2024) - [i13]Joana Reuss, Jan MacDonald, Simon Becker, Lorenz Richter, Marco Körner:
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification. CoRR abs/2407.17458 (2024) - 2023
- [j2]Frank Weilandt, Robert Behling, Romulo Goncalves, Arash Madadi, Lorenz Richter, Tiago Sanona, Daniel Spengler
Early Crop Classification via Multi-Modal Satellite Data Fusion and Temporal Attention. Remote. Sens. 15(3): 799 (2023) - [i12]Lorenz Richter, Julius Berner, Guan-Horng Liu:
Improved sampling via learned diffusions. CoRR abs/2307.01198 (2023) - [i11]Carsten Hartmann, Lorenz Richter:
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness. CoRR abs/2307.02454 (2023) - [i10]Lorenz Richter, Leon Sallandt, Nikolas Nüsken:
From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs. CoRR abs/2307.15496 (2023) - 2022
- [c3]Lorenz Richter, Julius Berner
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning. ICML 2022: 18649-18666 - [i9]Lorenz Richter, Julius Berner:
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning. CoRR abs/2206.10588 (2022) - [i8]Julius Berner, Lorenz Richter, Karen Ullrich:
An optimal control perspective on diffusion-based generative modeling. CoRR abs/2211.01364 (2022) - 2021
- [c2]Lorenz Richter, Leon Sallandt, Nikolas Nüsken:
Solving high-dimensional parabolic PDEs using the tensor train format. ICML 2021: 8998-9009 - [i7]Carsten Hartmann, Lorenz Richter:
Nonasymptotic bounds for suboptimal importance sampling. CoRR abs/2102.09606 (2021) - [i6]Lorenz Richter, Leon Sallandt, Nikolas Nüsken:
Solving high-dimensional parabolic PDEs using the tensor train format. CoRR abs/2102.11830 (2021) - [i5]Nikolas Nüsken, Lorenz Richter:
Interpolating between BSDEs and PINNs - deep learning for elliptic and parabolic boundary value problems. CoRR abs/2112.03749 (2021) - 2020
- [c1]Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz:
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. NeurIPS 2020 - [i4]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 abs/2005.05409 (2020) - [i3]Simon Becker, Lorenz Richter:
Model Order Reduction for (Stochastic-) Delay Equations With Error Bounds. CoRR abs/2008.12288 (2020) - [i2]Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz:
VarGrad: A Low-Variance Gradient Estimator for Variational Inference. CoRR abs/2010.10436 (2020)
2010 – 2019
- 2019
- [i1]Simon Becker, Carsten Hartmann, Martin Redmann, Lorenz Richter:
Feedback control theory & Model order reduction for stochastic equations. CoRR abs/1912.06113 (2019) - 2017
- [j1]Carsten Hartmann, Lorenz Richter, Christof Schütte, Wei Zhang
Variational Characterization of Free Energy: Theory and Algorithms. Entropy 19(11): 626 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-18 01:12 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: