Tobias Buck

According to our database, Tobias Buck authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Lagrangian neural ODEs: Measuring the existence of a Lagrangian with Helmholtz metrics.

Luca Wolf, Tobias Buck, Björn Malte Schäfer

CoRR, October, 2025

A COMPASS to Model Comparison and Simulation-Based Inference in Galactic Chemical Evolution.

Berkay Gunes, Sven Buder, Tobias Buck

CoRR, July, 2025

2024

Learning Locally Adaptive Metrics that Enhance Structural Representation with <i>LAMINAR</i>.

Christian Kleiber, William H. Oliver, Tobias Buck

CoRR, 2024

CODES: Benchmarking Coupled ODE Surrogates.

Robin Janssen, Immanuel Sulzer, Tobias Buck

CoRR, 2024

2023

Speeding up astrochemical reaction networks with autoencoders and neural ODEs.

Immanuel Sulzer, Tobias Buck

CoRR, 2023

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers.

Daniela Huppenkothen, Michelle Ntampaka, M. Ho, M. Fouesneau, Brian Nord, Joshua E. G. Peek, Mike Walmsley, John F. Wu, Camille Avestruz, Tobias Buck, M. Brescia, D. P. Finkbeiner, Andy D. Goulding, Tomasz Kacprzak, Peter Melchior, M. Pasquato, Nesar Ramachandra, Yuan-Sen Ting, G. van de Ven, S. Villar, V. A. Villar, Elad Zinger

CoRR, 2023