Tobias Golling

Publications

  • 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]
  • Identification of electrons using a deep neural network in the ATLAS experiment
    ATLAS COLLABORATION
    ATL-PHYS-PUB-2022-022 (2022)
  • 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]
  • Turbo-Sim: a generalised generative model with a physical latent space
    Guillaume QUÉTANT, Mariia DROZDOVA, Vitaliy KINAKH, Tobias GOLLING, Slava VOLOSHYNOVSKIY
    Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS) (2021) [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]
  • METNet: A combined pT miss working point using a neural network with the ATLAS detector
    ATLAS COLLABORATION
    ATL-PHYS-PUB-2021-025 (2021)
  • Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics
    ATLAS Collaboration
    (2009) [arXiv]
  • Commissioning of the ATLAS pixel detector
    Tobias GOLLING
    Nuclear Instruments and Methods in Physics Research A 604 293-296 (2009)
  • Alignment strategy for the ATLAS tracker
    Tobias GOLLING
    Proceedings of Science VERTEX2007 030 (2007)
  • Investigation of pomeron and odderon induced photoproduction of mesons decaying to pure multiphoton final states at HERA
    Tobias GOLLING
    Proceedings of Science HEP2001 034 (2001)
  • Search for Odderon Induced Contributions to Exclusive π0 Photoproduction at HERA
    Tobias GOLLING
    (2001)

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Département de Physique Nucléaire et Corpusculaire | Impressum.