Winfried Ripken

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations

Johannes Maeß, Leon Werner, J Thorben Frank, Winfried Ripken, Martin Michajlow, Joshua Futterer, Klaus-Robert Müller and Stefan Chmiela

arXiv preprint arXiv:2607.29158

Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics

Winfried Ripken*, Michael Plainer*, Gregor Lied*, Thorben Frank*, Oliver T Unke, Stefan Chmiela, Frank Noé and Klaus Robert Müller

ICML 2026 Spotlight

Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models

Khaled Kahouli, Winfried Ripken, Stefan Gugler, Oliver T Unke, Klaus-Robert Müller and Shinichi Nakajima

arXiv preprint arXiv:2502.08598

Nonequilibrium universality of Rydberg-excitation spreading on a dynamic network

Simon Ohler, Daniel Brady, Patrick Mischke, Jana Bender, Herwig Ott, Thomas Niederprüm, Winfried Ripken, Johannes S Otterbach and Michael Fleischhauer

Physical Review Research

Sampling 3D Molecular Conformers with Diffusion Transformers

J Thorben Frank*, Winfried Ripken*, Gregor Lied*, Klaus-Robert Müller, Oliver T Unke and Stefan Chmiela

Proceedings of NeurIPS 2025

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation

Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb and Bernhard Sick

Proceedings of ECML 2024

Simulating the Temperature-Dependent Absorbing-State Phase Transition in a Rydberg Many-Body Facilitated Gas using Neural Networks

Simon Ohler, Daniel Brady, Winfried Ripken, Michael Fleischhauer and Johannes Otterbach

APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts

Multiscale Neural Operators for Solving Time-Independent PDEs

Winfried Ripken*, Lisa Coiffard*, Felix Pieper* and Sebastian Dziadzio

NeurIPS 2023 Workshop on the Symbiosis of Deep Learning and Differential Equations III

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models

Julien Siems*, Konstantin Ditschuneit*, Winfried Ripken*, Alma Lindborg*, Maximilian Schambach, Johannes S Otterbach and Martin Genzel

Proceedings of NeurIPS 2023

Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks

Simon Ohler, Daniel Steven Brady, Winfried Lötzsch, Michael Fleischhauer and Johannes Otterbach

ICML 2022 2nd AI for Science Workshop

WISE: Whitebox Image Stylization by Example-Based Learning

Winfried Lötzsch, Max Reimann, Martin Büssemeyer, Amir Semmo, Jürgen Döllner and Matthias Trapp

Proceedings of ECCV 2022

Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks

Winfried Lötzsch, Simon Ohler and Johannes Otterbach

ICML 2022 2nd AI for Science Workshop

Learning languages with decidable hypotheses

Julian Berger, Maximilian Böther, Vanja Doskoč, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells and Simon Wietheger

Connecting with Computability: 17th Conference on Computability in Europe, CiE 2021, Virtual Event, Ghent, July 5–9, 2021, Proceedings 17

Maps for Learning Indexable Classes

Julian Berger, Maximilian Böther, Vanja Doskoč, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells and Simon Wietheger

arXiv preprint arXiv:2010.09460

3D Self-Supervised Methods for Medical Imaging

Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gaertner, Benjamin Bergner and Christoph Lippert

Proceedings of NeurIPS 2020

Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms

Winfried Lötzsch

TU Chemnitz

Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem

Winfried Lötzsch, Julien Vitay and Fred Hamker

INFORMATIK 2017

Who wrote the web? Revisiting influential author identification research applicable to information retrieval

Martin Potthast, Sarah Braun, Tolga Buz, Fabian Duffhauss, Florian Friedrich, Jörg Marvin Gülzow, Jakob Köhler, Winfried Lötzsch, Fabian Müller, Maike Elisa Müller, Robert Paßmann, Bernhard Reinke, Lucas Rettenmeier, Thomas Rometsch, Timo Sommer, Michael Träger, Sebastian Wilhelm, Benno Stein, Efstathios Stamatatos and Matthias Hagen

Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings 38