Tobias Golling

42 papers A* 2Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Strong CWoLa : binary classification without background simulation. Mach. Learn. Sci. Technol. Samuel Klein, Matthew Leigh, Stephen Mulligan, Tobias Golling
2025	J	`jnl`	End-to-End Optimal Detector Design with Mutual Information Surrogates. CoRR Kinga Anna Wozniak, Stephen Mulligan, Jan Kieseler, Markus Klute, François Fleuret, Tobias Golling
2025	J	`jnl`	End-to-end optimal detector design with mutual information surrogates. Mach. Learn. Sci. Technol. Kinga Anna Wozniak, Stephen Mulligan, Jan Kieseler, Markus Klute, François Fleuret, Tobias Golling
2025	J	`jnl`	Is tokenization needed for masked particle modeling? Mach. Learn. Sci. Technol. Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2025	J	`jnl`	Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models. CoRR Kristian Gonzalez Barman, Sascha Caron, Emily Sullivan, Henk W. de Regt, Roberto Ruiz de Austri, Mieke Boon, Michael Färber, Stefan Fröse, Faegheh Hasibi, Andreas Ipp, Rukshak Kapoor, Gregor Kasieczka, Daniel Kostic, Michael Krämer, Tobias Golling, Luis G. Lopez, Jesús Marco de Lucas, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger
2025	J	`jnl`	Mind the Gap: Navigating Inference with Optimal Transport Maps. CoRR Malte Algren, Tobias Golling, Francesco Armando Di Bello, Chris Pollard
2025	J	`jnl`	Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF. CoRR Sascha Caron, Andreas Ipp, Gert Aarts, Gábor Bíró, Daniele Bonacorsi, Elena Cuoco, Caterina Doglioni, Tommaso Dorigo, Julián García Pardiñas, Stefano Giagu, Tobias Golling, Lukas Heinrich, Ik Siong Heng, Paula Gina Isar, Karolos Potamianos, Liliana Teodorescu, John Veitch, Pietro Vischia, Christoph Weniger
2025	J	`jnl`	TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches. CoRR Ivan Oleksiyuk, Svyatoslav Voloshynovskiy, Tobias Golling
2024	J	`jnl`	CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals. Frontiers Big Data John Andrew Raine, Samuel Klein, Debajyoti Sengupta, Tobias Golling
2024	J	`jnl`	Enhancing generalization in high energy physics using white-box adversarial attacks. CoRR Franck Rothen, Samuel Klein, Matthew Leigh, Tobias Golling
2024	J	`jnl`	Is Tokenization Needed for Masked Particle Modelling? CoRR Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2024	J	`jnl`	Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024	J	`jnl`	Masked particle modeling on sets: towards self-supervised high energy physics foundation models. Mach. Learn. Sci. Technol. Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024	J	`jnl`	PIPPIN: Generating variable length full events from partons. CoRR Guillaume Quétant, John Andrew Raine, Matthew Leigh, Debajyoti Sengupta, Tobias Golling
2024	J	`jnl`	Variational inference for pile-up removal at hadron colliders with diffusion models. CoRR Malte Algren, Chris Pollard, John Andrew Raine, Tobias Golling
2023	J	`jnl`	CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation. CoRR Debajyoti Sengupta, Samuel Klein, John Andrew Raine, Tobias Golling
2023	J	`jnl`	Decorrelation using Optimal Transport. CoRR Malte Algren, John Andrew Raine, Tobias Golling
2023	J	`jnl`	EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion. CoRR Erik Buhmann, Cedric Ewen, Darius A. Faroughy, Tobias Golling, Gregor Kasieczka, Matthew Leigh, Guillaume Quétant, John Andrew Raine, Debajyoti Sengupta, David Shih
2023	J	`jnl`	Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting. CoRR Malte Algren, Tobias Golling, Manuel Guth, Chris Pollard, John Andrew Raine
2023	J	`jnl`	Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation. CoRR Tobias Golling, Samuel Klein, Radha Mastandrea, Benjamin Nachman, John Andrew Raine
2023	J	`jnl`	Improving new physics searches with diffusion models for event observables and jet constituents. CoRR Debajyoti Sengupta, Matthew Leigh, John Andrew Raine, Samuel Klein, Tobias Golling
2023	J	`jnl`	PC-Droid: Faster diffusion and improved quality for particle cloud generation. CoRR Matthew Leigh, Debajyoti Sengupta, John Andrew Raine, Guillaume Quétant, Tobias Golling
2023	J	`jnl`	PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics. CoRR Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant, John Andrew Raine, Knut Zoch, Tobias Golling
2023	A*	`conf`	SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. NeurIPS Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John A. Raine, Tobias Golling, François Fleuret
2023	J	`jnl`	The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
2023	J	`jnl`	Topological Reconstruction of Particle Physics Processes using Graph Neural Networks. CoRR Lukas Ehrke, John Andrew Raine, Knut Zoch, Manuel Guth, Tobias Golling
2023	J	`jnl`	ν CoRR John Andrew Raine, Matthew Leigh, Knut Zoch, Tobias Golling
2022	J	`jnl`	Decorrelation with conditional normalizing flows. CoRR Samuel Klein, Tobias Golling
2022	J	`jnl`	Flowification: Everything is a Normalizing Flow. CoRR Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
2022	A*	`conf`	Flowification: Everything is a normalizing flow. NeurIPS Bálint Máté, Samuel Klein, Tobias Golling, François Fleuret
2022	J	`jnl`	Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation. CoRR Samuel Klein, John Andrew Raine, Tobias Golling
2022	J	`jnl`	SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. CoRR Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, Sebastian Pina-Otey, John A. Raine, Tobias Golling, François Fleuret
2022	J	`jnl`	ν-Flows: Conditional Neutrino Regression. CoRR Matthew Leigh, John Andrew Raine, Knut Zoch, Tobias Golling
2021	J	`jnl`	Funnels: Exact maximum likelihood with dimensionality reduction. CoRR Samuel Klein, John A. Raine, Sebastian Pina-Otey, Slava Voloshynovskiy, Tobias Golling
2021	J	`jnl`	Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. CoRR Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
2021	J	`jnl`	Hashing and metric learning for charged particle tracking. CoRR Sabrina Amrouche, Moritz Kiehn, Tobias Golling, Andreas Salzburger
2021	J	`jnl`	Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN. CoRR Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy
2021	J	`jnl`	The Tracking Machine Learning challenge : Throughput phase. CoRR Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
2021	J	`jnl`	Turbo-Sim: a generalised generative model with a physical latent space. CoRR Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy
2019	—	`conf`	Similarity hashing for charged particle tracking. IEEE BigData Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Claudia Plant, Andreas Salzburger
2018	—	`conf`	Deep Generative Models for Fast Shower Simulation in ATLAS. eScience Dalila Salamani, Stefan Gadatsch, Tobias Golling, Graeme Andrew Stewart, Aishik Ghosh, David Rousseau, Ahmed Hasib, Jana Schaarschmidt
2018	—	`conf`	TrackML: A High Energy Physics Particle Tracking Challenge. eScience Paolo Calafiura, Steven Farrell, Heather M. Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin