Tobias Golling

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For a presentation of the group as well as the latest research projects, see our GitHub page!

Research

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  • Photo
    Prof. Tobias GOLLING

    Professeur associé - ATLAS

    Prof. Tobias GOLLING

    AEM 025
    +41 22 379 62 74
    E-mail

  • Photo
    Mr Malte ALGREN

    Assistant doctorant – Groupe ATLAS (co-supervisé par Prof. Voloshynovskiy)

    Mr Malte ALGREN

    AEM 018
    E-mail

  • Photo
    Ms Mariia DROZDOVA

    Assistante doctorante – Groupe ATLAS (co-supervisée par Prof. Voloshynovskiy)

    Ms Mariia DROZDOVA

    AEM 018
    E-mail

  • Photo
    Mr Lukas EHRKE

    Assistant doctorant – Groupe ATLAS

    Mr Lukas EHRKE

    AEM 018
    E-mail

  • Photo
    Mr Daigo HARADA

    Assistant doctorant – Groupe ATLAS

    Mr Daigo HARADA
  • Photo
    Mr Samuel KLEIN

    Assistant doctorant – Groupe ATLAS (co-supervisé par Prof. Voloshynovskiy)

    Mr Samuel KLEIN

    AEM 026
    E-mail

  • Photo
    Mr Matthew LEIGH

    Assistant doctorant – Groupe ATLAS

    Mr Matthew LEIGH

    AEM 018
    E-mail

  • Photo
    Mr Bálint MÁTÉ

    Assistant doctorant – Groupe Golling (co-supervisé par Prof. Fleuret)

    Mr Bálint MÁTÉ
  • Photo
    Mr Ivan OLEKSIYUK

    Assistant Doctorant – Groupe ATLAS (co-supervisé par Prof. Voloshynovskiy)

    Mr Ivan OLEKSIYUK

    AEM 026
    E-mail

  • Photo
    Mr Guillaume QUÉTANT

    Assistant Doctorant – Groupe ATLAS (co-supervisé par Prof. Voloshynovskiy)

    Mr Guillaume QUÉTANT

    AEM 018
    E-mail

  • Photo
    Dr Johnny RAINE

    Maître-assistant – Groupe ATLAS

    Dr Johnny RAINE

    AEM 026
    E-mail

  • Photo
    Ms Tomke SCHRÖER

    Assistante Doctorante – Groupe ATLAS (co-supervisée par Prof. Voloshynovskiy)

    Ms Tomke SCHRÖER

    AEM 018
    E-mail

  • Photo
    Mr Debajyoti SENGUPTA

    Assistant doctorant – Groupe ATLAS

    Mr Debajyoti SENGUPTA

    AEM 026
    E-mail

  • Photo
    Dr Shohei SHIRABE

    Post-doctorant – Groupe ATLAS

    Dr Shohei SHIRABE

    [currently based in Grenoble, France]
    E-mail

  • Dr. Kinga Anna WOZNIAK

    Post-doctorante – Groupe ATLAS

    Dr. Kinga Anna WOZNIAK

    AEM 026

List view

  • 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]
  • Morphing one dataset into another with maximum likelihood estimation
    Tobias GOLLING, Samuel KLEIN, Radha MASTANDREA, Benjamin NACHMAN, John Andrew RAINE
    Phys. Rev. D 108 (096018) (2023) [arXiv]
  • TURBO: The Swiss Knife of Auto-Encoders
    Guillaume Quétant QUÉTANT, Yury BELOUSOV, Vitaliy KINAKH, Slava VOLOSHYNOVSKIY
    Entropy 25 (10) 1471 (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]
  • PC-Droid: Faster diffusion and improved quality for particle cloud generation
    Matthew LEIGH, Debajyoti SENGUPTA, John Andrew RAINE, Guillaume QUÉTANT, Tobias GOLLING
    (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]
  • Topological Reconstruction of Particle Physics Processes using Graph Neural Networks
    Lukas EHRKE, John Andrew RAINE, Knut ZOCH, Manuel GUTH, Tobias GOLLING
    Phys. Rev. D 107 116019 (2023) [arXiv]
  • ν-Flows: conditional neutrino regression
    Matthew LEIGH, John Andrew RAINE, Knut ZOCH, Tobias GOLLING
    SciPost Phys. 4 159 (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]
  • CURTAINs for your Sliding Window: Constructing Unobserved Regions by Transforming Adjacent Intervals
    John Andrew RAINE, Samuel KLEIN, Debajyoti SENGUPTA, Tobias GOLLING
    Frontiers in Big Data 6 899345 (2023) [arXiv]
  • PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
    Matthew LEIGH, Debajyoti SENGUPTA, Guillaume QUÉTANT, John Andrew RAINE, Knut ZOCH, Tobias GOLLING
    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]
  • 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.