
Mr Guillaume Q±«Ã‰°Õ´¡±·°Õ
Assistant Doctorant – Groupe ATLAS (co-supervisé par Prof. Voloshynovskiy)
AEM 018
E-mail
Guillaume is a PhD student in the group of Prof. Tobias Golling at the Particle Physics Department (DPNC), jointly supervised by  at the  (CVML). He is a member of the  project (Robust Deep Density Models for High-Energy Physics and Solar Physics), and a member and qualified author of the .
Guillaume graduated from the Univ. of Geneva, Switzerland, with a BSc in physics in 2017, and an MSc with an Excellence Master Fellowship in theoretical physics in 2020. He started as a PhD student at the Univ. of Geneva in 2020, where he works on machine learning for high energy physics, especially for generative modelling and anomaly detection.
Recent work
- Turbo-Sim: A generalised autoencoder framework applied to high-energy physics (,Ìýposter and )
- At ATLAS (CERN): Standalone topological clustering of energy deposits in calorimeter cells ()
- GANDALF: Four-momentum transcoding with attention encoder, latent space matching and diffusion decoder (poster)
- PC-JeDi: Jets generation as particle clouds with a diffusion transformer network ( ²¹²Ô»åÌý)
- PC-Droid: Faster and better jets generation with a diffusion transformer network ²¹²Ô»åÌý)
- TURBO: Mathematical grounds and interpretations of many deep learning training methods ( ²¹²Ô»åÌý)
- PIPPIN: Set to set transformation ()
- GalaDRIEL: Corrections to galaxy simulation (ongoing)
Publications
Complete and up-to-date list of Guillaume's publications:
- Google Scholar:Â .
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Guillaume Q±«Ã‰°Õ´¡±·°Õ, John Andrew RAINE, Matthew LEIGH, Debajyoti SENGUPTA, Tobias GOLLING
Phys. Rev. D 110 (7) 076023 (2024) []
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Guillaume Quétant Q±«Ã‰°Õ´¡±·°Õ, Yury BELOUSOV, Vitaliy KINAKH, Slava VOLOSHYNOVSKIY
Entropy 25 (10) 1471 (2023) [] -
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 Q±«Ã‰°Õ´¡±·°Õ, John Andrew RAINE, Debajyoti SENGUPTA, David SHIH
(2023) [] -
Matthew LEIGH, Debajyoti SENGUPTA, John Andrew RAINE, Guillaume Q±«Ã‰°Õ´¡±·°Õ, Tobias GOLLING
Phys. Rev. D 109 (1) 012010 (2023) [] -
Matthew LEIGH, Debajyoti SENGUPTA, Guillaume Q±«Ã‰°Õ´¡±·°Õ, John Andrew RAINE, Knut ZOCH, Tobias GOLLING
SciPost Phys. 16 (1) 018 (2023) []
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Guillaume Q±«Ã‰°Õ´¡±·°Õ, Mariia DROZDOVA, Vitaliy KINAKH, Tobias GOLLING, Slava VOLOSHYNOVSKIY
Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS) (2021) [] -
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
Vitaliy KINAKH, Mariia DROZDOVA, Guillaume Q±«Ã‰°Õ´¡±·°Õ, Tobias GOLLING, Slava VOLOSHYNOVSKIY
Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS) (2021) [] -
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
Mariia DROZDOVA, Vitaliy KINAKH, Guillaume Q±«Ã‰°Õ´¡±·°Õ, Tobias GOLLING, Slava VOLOSHYNOVSKIY
Proceedings of workshop in the international conference on Neural Information Processing Systems (NeurIPS) (2021) []
Teaching/Tutoring
Information Theory for Data Science and Machine Learning (Univ. of Geneva, 2021–2023)