Samuel Tovey

According to our database, Samuel Tovey authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail.

Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf, Samuel Tovey, Christian Holm

CoRR, May, 2026

Beyond scaling curves: internal dynamics of neural networks through the NTK lens.

Konstantin Nikolaou, Sven Krippendorf, Samuel Tovey, Christian Holm

Mach. Learn. Sci. Technol., 2026

2025

Deep Learning-Driven Peptide Classification in Biological Nanopores.

Samuel Tovey, Julian Hoßbach, Sandro Kuppel, Tobias Ensslen, Jan C. Behrends, Christian Holm

CoRR, September, 2025

Collective variables of neural networks: empirical time evolution and scaling laws.

Samuel Tovey, Sven Krippendorf, Michael Spannowsky, Konstantin Nikolaou, Christian Holm

Mach. Learn. Sci. Technol., 2025

Generating quantum reservoir state representations with random matrices.

Samuel Tovey, Tobias Fellner, Christian Holm, Michael Spannowsky

Mach. Learn. Sci. Technol., 2025

2024

Emergence of chemotactic strategies with multi-agent reinforcement learning.

Samuel Tovey, Christoph Lohrmann, Christian Holm

Mach. Learn. Sci. Technol., 2024

SwarmRL: Building the Future of Smart Active Systems.

Samuel Tovey, Christoph Lohrmann, Tobias Merkt, David Zimmer, Konstantin Nikolaou, Simon Koppenhoefer, Anna Bushmakina, Jonas Scheunemann, Christian Holm

CoRR, 2024

Generating Reservoir State Descriptions with Random Matrices.

Samuel Tovey, Christian Holm, Michael Spannowsky

CoRR, 2024

ZnTrack - Data as Code.

Fabian Zills, Moritz Schäfer, Samuel Tovey, Johannes Kästner, Christian Holm

CoRR, 2024

2023

MDSuite: comprehensive post-processing tool for particle simulations.

Samuel Tovey, Fabian Zills, Francisco Torres-Herrador, Christoph Lohrmann, Marco Brückner, Christian Holm

J. Cheminformatics, December, 2023

Towards a phenomenological understanding of neural networks: data.

Samuel Tovey, Sven Krippendorf, Konstantin Nikolaou, Christian Holm

Mach. Learn. Sci. Technol., September, 2023

Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning.

Samuel Tovey, David Zimmer, Christoph Lohrmann, Tobias Merkt, Simon Koppenhoefer, Veit-Lorenz Heuthe, Clemens Bechinger, Christian Holm

CoRR, 2023

An Enhanced Synthetic Cystoscopic Environment for Use in Monocular Depth Estimation.

Peter Somers, Mario Deutschmann, Simon Holdenried-Krafft, Samuel Tovey, Johannes Schüle, Carina Veil, Valese Aslani, Oliver Sawodny, Hendrik P. A. Lensch, Cristina Tarín

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023