Improving new physics searches with diffusion models for event observables and jet constituents
Debajyoti SENGUPTA, Matthew LEIGH, John Andrew RAINE, Samuel KLEIN, Tobias GOLLING (2023)[arXiv]
EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
Erik BUHMANN, Cedric EWEN, Darius A. FAROUGHY, Tobias GOLLING, Gregor KASIECZKA, Matthew LEIGH, Guillaume QUÉTANT, John Andrew RAINE, Debajyoti SENGUPTA, David SHIH (2023)[arXiv]
The Interplay of Machine Learning--based Resonant Anomaly Detection Methods
Tobias GOLLING et al. (2023)[arXiv]
Decorrelation using Optimal Transport
Malte ALGREN, John Andrew RAINE, Tobias GOLLING (2023)[arXiv]
ν²-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
John Andrew RAINE, Matthew LEIGH, Knut ZOCH, Tobias GOLLING Submitted to PRD(2023)[arXiv]
CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation
Debajyoti SENGUPTA, Samuel KLEIN, John Andrew RAINE, Tobais GOLLING Submitted to SciPost(2023)[arXiv]
Flow Away your Differences: Conditional Normalizing Flows as an Improvement to Reweighting
Malte ALGREN, Tobias GOLLING, Manuel GUTH, Chris POLLARD, John Andrew RAINE Submitted to SciPost(2023)[arXiv]
FETA: Flow-Enhanced Transportation for Anomaly Detection
Tobias GOLLING, Samuel KLEIN, Radha MASTANDREA, Benjamin NACHMAN (2022)[arXiv]
Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation
Samuel KLEIN, John Andrew RAINE, Tobias GOLLING (2022)[arXiv]
Decorrelation with conditional normalizing flows
Samuel KLEIN, Tobias GOLLING accepted to the workshop "Machine Learning and the Physical Sciences" @ NeurIPS(2022)[arXiv]
Deep generative models for fast photon shower simulation in ATLAS
ATLAS COLLABORATION submitted to the journal of Computing and Software for Big Science(2022)[arXiv]
Flowification: Everything is a Normalizing Flow
Bálint MÁTÉ, Samuel KLEIN, Tobias GOLLING, François FLEURET accepted to NeurIPS main conference(2022)[arXiv]
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Atul Kumar SINHA, Daniele PALIOTTA, Bálint MÁTÉ, Sebastian PINA-OTEY, John A. RAINE, Tobias GOLLING, François FLEURET (2022)[arXiv]
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
Vitaliy KINAKH, Mariia DROZDOVA, Guillaume QUÉTANT, Tobias GOLLING, Slava VOLOSHYNOVSKIY Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS)(2021)[arXiv]
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
Mariia DROZDOVA, Vitaliy KINAKH, Guillaume QUÉTANT, Tobias GOLLING, Slava VOLOSHYNOVSKIY Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS)(2021)[arXiv]
Funnels: Exact maximum likelihood with dimensionality reduction
Samuel KLEIN, John A. RAINE, PINA-OTEY, Slava VOLOSHYNOVSKIY, Tobias GOLLING Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS)(2021)[arXiv]
Similarity hashing for charged particle tracking
Sabrina AMROUCHE, Tobias GOLLING, Moritz KIEHN, Claudia PLANT, Andreas SALZBURGER 2019 IEEE International Conference on Big Data (Big Data)1595(2019)
Track reconstruction at LHC as a collaborative data challenge use case with RAMP
Sabrina AMROUCHE, Nils BRAUN, Paolo CALAFIURA, Steven FARRELL, Jochen GEMMLER, Cécile GERMAIN, Vladimir VAVA GLIGOROV, Tobias GOLLING, Heather GRAY, Isabelle GUYON, Mikhail HUSHCHYN, Vincenzo INNOCENTE, Balázs KÉGL, Sara NEUHAUS, David ROUSSEAU, Andreas SALZBURGER, Andrei USTYUZHANIN, Jean-Roch VLIMANT, Christian WESSEL, Yetkin YILMAZ EPJ Web of Conferences15000015(2017)[Other link]
Testbeam results of irradiated ams H18 HV-CMOS pixel sensor prototypes
M. BENOIT, S. BRACCINI, G. CASSE, H. CHEN, K. CHEN, F. A. DI BELLO, D. FERRERE, T. GOLLING, S. GONZALEZ-SEVILLA, G. IACOBUCCI, M. KIEHN, F. LANNI, H. LIU, L. MENG, C. MERLASSINO, A. MIUCCI, D. MUENSTERMANN, M NESSI, H. OKAWA, I. PERIC, M. RIMOLDI, B. RISTIC, M. VICENTE BARRERO PINTO, J. VOSSEBELD, M. WEBER, T. WESTON, W. WU, L. XU, E. ZAFFARONI (2017)[arXiv]
Results of the 2015 testbeam of a 180 nm AMS High-Voltage CMOS sensor prototype
M. BENOIT, J. BILBAO DE MENDIZABAL, G. CASSE, H. CHEN, F. A. DI BELLO, D. FERRERE, T. GOLLING, S. GONZALEZ-SEVILLA, G. IACOBUCCI, F. LANNI, H. LIU, F. MELONI, L. MENG, A. MIUCCI, D. MUENSTERMANN, M. NESSI, I. PERIĆ, M. RIMOLDI, B. RISTIC, M. VICENTE BARRERO PINTO, J. VOSSEBELD, M. WEBER, W. WU, L. XU Journal of Instrumentation11(07)P07019(2016)[arXiv]
Warped Extra Dimensional Benchmarks for Snowmass 2013
Kaustubh AGASHE, Oleg ANTIPIN, Mihailo BACKOVIĆ, Aaron EFFRON, Alex EMERMAN, Johannes ERDMANN, Tobias GOLLING, Shrihari GOPALAKRISHNA, Tuomas HAPOLA, Shih-chieh HSU, José JUKNEVICH, Seung J LEE, Tanumoy MANDAL, August MILLER, Edward MOYSE, Tuhin Subhra MUKHERJEE, Chris POLLARD, Soumya SADHUKHAN, Daniel WHITESON, Stephane WILLOCQ (2013)[arXiv]
A Comparison of Future Proton Colliders Using SUSY Simplified Models: A Snowmass Whitepaper
Timothy COHEN, Tobias GOLLING, Mike HANCE, Anna HENRICHS, Kiel HOWE, Joshua LOYAL, Sanjay PADHI, Jay G. WACKER (2013)[arXiv]
Investigation of pomeron and odderon induced photoproduction of mesons decaying to pure multiphoton final states at HERA
Tobias GOLLING Proceedings of ScienceHEP2001034(2001)
Search for Odderon Induced Contributions to Exclusive π0 Photoproduction at HERA
Tobias GOLLING (2001)
