James Kahn

According to our database, James Kahn authored at least 5 papers between 2019 and 2023.

Collaborative distances:

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

2023

Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning.

Hosein Hashemi, Nikolai Hartmann, Sahand Sharifzadeh, James Kahn, Thomas Kuhr

CoRR, 2023

2022

Learning tree structures from leaves for particle decay reconstruction.

James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian U. Bernlochner, Achim Streit, Markus Götz

Mach. Learn. Sci. Technol., September, 2022

Accelerating neural network training with distributed asynchronous and selective optimization (DASO).

Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit

J. Big Data, 2022

2021

Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance.

Alex Hagen, Shane Jackson, James Kahn, Jan Strube, Isabel Haide, Karl Pazdernik, Connor Hainje

CoRR, 2021

2019

The Full Event Interpretation: An Exclusive Tagging Algorithm for the Belle II Experiment.

Thomas Keck, Fernando Abudinén, Florian U. Bernlochner, R. Cheaib, Sam Cunliffe, Michael Feindt, Torben Ferber, Moritz Gelb, Jochen Gemmler, Pablo Goldenzweig, Martin Heck, Sophie Hollitt, James Kahn, Jo-Frederik Krohn, Thomas Kuhr, I. Komarov, L. Ligioi, Matic Lubej, Felix Metzner, Markus Prim, Christian Pulvermacher, Martin Ritter, J. Schwab, W. Sutcliffe, U. Tamponi, Francesco Tenchini, N. E. Toutounji, P. Urquijo, Dennis Weyland, Anze Zupanc

Comput. Softw. Big Sci., December, 2019