Lukas Heinrich

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Programming Language

High Energy Physics

Inference Engine

Top Venues

Comput. Softw. Big Sci.

Mach. Learn. Sci. Technol.

Trans. Mach. Learn. Res.

Publications

Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR (2024)
Marco Donadoni, Matthew Feickert, Lukas Heinrich, Yang Liu, Audrius Mecionis, Vladyslav Moisieienkov, Tibor Simko, Giordon Stark, Marco Vidal García
Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform. CoRR (2024)
Lukas Heinrich, Benjamin Huth, Andreas Salzburger, Tilo Wettig
Combined track finding with GNN & CKF. CoRR (2024)
Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer
Hierarchical Neural Simulation-Based Inference Over Event Ensembles. Trans. Mach. Learn. Res. 2024 (2024)
Matthias Vigl, Nicole Hartman, Lukas Heinrich
Finetuning Foundation Models for Joint Analysis Optimization. CoRR (2024)
Lukas Heinrich, Siddharth Mishra-Sharma, Chris Pollard, Philipp Windischhofer
Hierarchical Neural Simulation-Based Inference Over Event Ensembles. CoRR (2023)
Jonas Eschle, Tamás Gál, Mosè Giordano, Philippe Gras, Benedikt Hegner, Lukas Heinrich, Uwe Hernandez Acosta, Stefan Kluth, Jerry (Jiahong) Ling, Pere Mato, Mikhail Mikhasenko, Alexander Moreno Briceño, Jim Pivarski, Konstantinos Samaras-Tsakiris, Oliver Schulz, Graeme Andrew Stewart, Jan Strube, Vassil Vassilev
Potential of the Julia Programming Language for High Energy Physics Computing. Comput. Softw. Big Sci. 7 (1) (2023)
Michael Kagan, Lukas Heinrich
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics. CoRR (2023)
Anton Charkin-Gorbulin, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Lorenzo Santi, Matteo Tusoni
Configurable calorimeter simulation for AI applications. Mach. Learn. Sci. Technol. 4 (3) (2023)
Nathalie Soybelman, Nilotpal Kakati, Lukas Heinrich, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Marumi Kado, Jonathan Shlomi
Set-conditional set generation for particle physics. Mach. Learn. Sci. Technol. 4 (4) (2023)
Francesco Armando Di Bello, Anton Charkin-Gorbulin, Kyle Cranmer, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Lukas Heinrich, Lorenzo Santi, Marumi Kado, Nilotpal Kakati, Patrick Rieck, Matteo Tusoni
Configurable calorimeter simulation for AI applications. CoRR (2023)
E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR (2022)
Harry Enke, Andreas Haungs, Thomas Schoerner-Sadenius, Kilian Schwarz, Markus Demleitner, Achim Geiser, Lukas Heinrich, Michael Kramer, Gernot Maier, Dominik Schwarz, Hendrik Seitz-Moskaliuk, Hubert Simma, Michael Sterzik, Stefan Typel
Survey of Open Data Concepts Within Fundamental Physics: An Initiative of the PUNCH4NFDI Consortium. Comput. Softw. Big Sci. 6 (1) (2022)
Nathan Simpson, Lukas Heinrich
neos: End-to-End-Optimised Summary Statistics for High Energy Physics. CoRR (2022)
Sudhir Malik, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel Hernández Villanueva, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan
Software Training in HEP. Comput. Softw. Big Sci. 5 (1) (2021)