Christian Holm

30 papers Journal 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond scaling curves: internal dynamics of neural networks through the NTK lens.
Mach. Learn. Sci. Technol.
Konstantin Nikolaou, Sven Krippendorf, Samuel Tovey, Christian Holm
2025 J jnl
Apax: A Flexible and Performant Framework for the Development of Machine-Learned Interatomic Potentials.
J. Chem. Inf. Model.
Moritz Schäfer, Nico Segreto, Fabian Zills, Christian Holm, Johannes Kästner
2025 J jnl
Beyond Scaling Curves: Internal Dynamics of Neural Networks Through the NTK Lens.
CoRR
Konstantin Nikolaou, Sven Krippendorf, Samuel Tovey, Christian Holm
2025 J jnl
Collective variables of neural networks: empirical time evolution and scaling laws.
Mach. Learn. Sci. Technol.
Samuel Tovey, Sven Krippendorf, Michael Spannowsky, Konstantin Nikolaou, Christian Holm
2025 J jnl
Deep Learning-Driven Peptide Classification in Biological Nanopores.
CoRR
Samuel Tovey, Julian Hoßbach, Sandro Kuppel, Tobias Ensslen, Jan C. Behrends, Christian Holm
2025 J jnl
Generating quantum reservoir state representations with random matrices.
Mach. Learn. Sci. Technol.
Samuel Tovey, Tobias Fellner, Christian Holm, Michael Spannowsky
2025 J jnl
Organizing software community workshops: Experiences from three independent simulation software projects.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol.
Jean-Noël Grad, Gerasimos Chourdakis, Bernd Flemisch, Christian Holm, Leon Keim, Benjamin Uekermann, Rudolf Weeber
2025 J jnl
Robustness of quantum algorithms: Worst-case fidelity bounds and implications for design.
CoRR
Julian Berberich, Tobias Fellner, Robert L. Kosut, Christian Holm
2025 J jnl
The interplay of robustness and generalization in quantum machine learning.
CoRR
Julian Berberich, Tobias Fellner, Christian Holm
2024 J jnl
Collective variables of neural networks: empirical time evolution and scaling laws.
CoRR
Samuel Tovey, Sven Krippendorf, Michael Spannowsky, Konstantin Nikolaou, Christian Holm
2024 J jnl
Emergence of Chemotactic Strategies with Multi-Agent Reinforcement Learning.
CoRR
Samuel Tovey, Christoph Lohrmann, Christian Holm
2024 J jnl
Emergence of chemotactic strategies with multi-agent reinforcement learning.
Mach. Learn. Sci. Technol.
Samuel Tovey, Christoph Lohrmann, Christian Holm
2024 J jnl
Generating Reservoir State Descriptions with Random Matrices.
CoRR
Samuel Tovey, Christian Holm, Michael Spannowsky
2024 J jnl
SwarmRL: Building the Future of Smart Active Systems.
CoRR
Samuel Tovey, Christoph Lohrmann, Tobias Merkt, David Zimmer, Konstantin Nikolaou, Simon Koppenhoefer, Anna Bushmakina, Jonas Scheunemann, Christian Holm
2024 J jnl
Zero Shot Molecular Generation via Similarity Kernels.
CoRR
Rokas Elijosius, Fabian Zills, Ilyes Batatia, Sam Walton Norwood, Dávid Péter Kovács, Christian Holm, Gábor Csányi
2024 J jnl
ZnTrack - Data as Code.
CoRR
Fabian Zills, Moritz Schäfer, Samuel Tovey, Johannes Kästner, Christian Holm
2023 J jnl
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning.
CoRR
Samuel Tovey, David Zimmer, Christoph Lohrmann, Tobias Merkt, Simon Koppenhoefer, Veit-Lorenz Heuthe, Clemens Bechinger, Christian Holm
2023 J jnl
MDSuite: comprehensive post-processing tool for particle simulations.
J. Cheminformatics
Samuel Tovey, Fabian Zills, Francisco Torres-Herrador, Christoph Lohrmann, Marco Brückner, Christian Holm
2023 J jnl
Robustness of quantum algorithms against coherent control errors.
CoRR
Julian Berberich, Daniel Fink, Christian Holm
2023 J jnl
Towards a Phenomenological Understanding of Neural Networks: Data.
CoRR
Samuel Tovey, Sven Krippendorf, Konstantin Nikolaou, Christian Holm
2023 J jnl
Towards a phenomenological understanding of neural networks: data.
Mach. Learn. Sci. Technol.
Samuel Tovey, Sven Krippendorf, Konstantin Nikolaou, Christian Holm
2023 J jnl
Training robust and generalizable quantum models.
CoRR
Julian Berberich, Daniel Fink, Daniel Pranjic, Christian Tutschku, Christian Holm
2022 J jnl
A thermalized electrokinetics model including stochastic reactions suitable for multiscale simulations of reaction-advection-diffusion systems.
J. Comput. Sci.
Ingo Tischler, Florian Weik, Robert Kaufmann, Michael Kuron, Rudolf Weeber, Christian Holm
2019 J jnl
Accelerating the calculation of dipolar interactions in particle based simulations with open boundary conditions by means of the P
J. Comput. Phys.
Rudolf Weeber, Franziska Nestler, Florian Weik, Michael Pippig, Daniel Potts, Christian Holm
2019 J jnl
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide.
CoRR
Ganesh Sivaraman, Anand Narayanan Krishnamoorthy, Matthias Baur, Christian Holm, Marius Stan, Gábor Csányi, Chris J. Benmore, Álvaro Vázquez-Mayagoitia
2013 J jnl
Efficient Algorithms for Electrostatic Interactions Including Dielectric Contrasts.
Entropy
Axel Arnold, Konrad Breitsprecher, Florian Fahrenberger, Stefan Kesselheim, Olaf Lenz, Christian Holm
2012 J jnl
Magnetic Flux Topology of 2D Point Dipoles.
Comput. Graph. Forum
Sven Bachthaler, Filip Sadlo, Rudolf Weeber, Sofia Kantorovich, Christian Holm, Daniel Weiskopf
2011 J jnl
Applying ICC
Comput. Phys. Commun.
Stefan Kesselheim, Marcello Sega, Christian Holm
2011 J jnl
Removal of spurious self-interactions in particle-mesh methods.
Comput. Phys. Commun.
Vincent Ballenegger, Jan Josep Cerdà, Christian Holm
2006 J jnl
ESPResSo - an extensible simulation package for research on soft matter systems.
Comput. Phys. Commun.
Hans-Jörg Limbach, Axel Arnold, Bernward Mann, Christian Holm