Tobias Kortus

According to our database, Tobias Kortus authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

2024

Exploring End-to-end Differentiable Neural Charged Particle Tracking - A Loss Landscape Perspective.

Tobias Kortus, Ralf Keidel, Nicolas R. Gauger

CoRR, 2024

2023

Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning.

Tobias Kortus, Ralf Keidel, Nicolas R. Gauger

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022

Unsupervised anomaly detection in multivariate time series with online evolving spiking neural networks.

Dennis Bäßler, Tobias Kortus, Gabriele Gühring

Mach. Learn., 2022

Derivatives in Proton CT.

Max Aehle, Johan Alme, Gergely Gábor Barnaföldi, Johannes Blühdorn, Tea Bodova, Vyacheslav Borshchov, Anthony van den Brink, Mamdouh Chaar, Viljar Eikeland, Gregory Feofilov, Christoph Garth, Nicolas R. Gauger, Georgi Genov, Ola Grøttvik, Håvard Helstrup, Sergey Igolkin, Ralf Keidel, Chinorat Kobdaj, Tobias Kortus, Viktor Leonhardt, Shruti Mehendale, Raju Ningappa Mulawade, Odd Harald Odland, George O'Neill, Gábor Papp, Thomas Peitzmann, Helge Egil Seime Pettersen, Pierluigi Piersimoni, Rohit Pochampalli, Maksym Protsenko, Max Rauch, Attiq Ur Rehman, Matthias Richter, Dieter Röhrich, Max Sagebaum, Joshua Santana, Alexander Schilling, Joao Seco, Arnon Songmoolnak, Jarle Rambo Sølie, Ganesh Tambave, Ihor Tymchuk, Kjetil Ullaland, Monika Varga-Kofarago, Lennart Volz, Boris Wagner, Steffen Wendzel, Alexander Wiebel, RenZheng Xiao, Shiming Yang, Hiroki Yokoyama, Sebastian Zillien

CoRR, 2022