Projects and PhD theses¶
Machine learning related projets at IN2P3 with their associated grants
| Symbol | Topic |
|---|---|
| 💫 | accelerators |
| 🔭 | astro/cosmo |
| ⚛️ | HEP |
| ☢️ | nuclear |
Projects by fundings¶
ANR¶
| Physics domain | Title | Funding type | Principal Investigator | Labs | Start year | End year | Short description |
|---|---|---|---|---|---|---|---|
| ⚛️ | AIDAQ | ANR | G. Aad | CPPM | 2021 | 2024 | Artificial Intelligence on FPGAs: A breakthrough for Data AcQuisition in High Energy Physics experiments and beyond |
| 🔭 | AstroDeep | ANR | E. Aubourg | APC, CEA, Inria | 2019 | 2024 | Deep learning algorithms for galaxy deblending |
| 🔭 | DeepDIP | ANR | D. Fouchez | CPPM, IAP, LAM, LIRMM, TETIS | 2019 | 2023 | Deep Learning techniques for supernovae and photometric redshifts |
| Physics domain | Title | Funding type | Principal Investigator | Labs | Start year | End year | Short description |
|---|---|---|---|---|---|---|---|
| 🔭, ⚛️ | DIRECTA | ANR | T. Vuillaume | LAPP | 2024 | 2027 | Deep learning for CTA event reconstruction in real-time |
| 🔭 | AstroDeep2 | ANR | E. Aubourg | APC, AIM | 2024 | 2029 | New machine learning techniques for the analysis of wide and deep, multi-color, multi-instrument, astronomical surveys |
| ⚛️ | DIVE | ANR | L. Cadamuro | IJCLab, CPPM, LPNHE | 2023 | 2027 | DiHiggs In VBF Events : Exploring the Higgs boson properties through vector boson fusion HH production |
| ⚛️ | ATRAPP | ANR | J. Lévêque | LAPP, IJCLab | 2022 | 2026 | Advanced tracking algorithms for non-prompt tracks at the LHC |
| ⚛️ | OGCID | ANR | F. Magniette | LLR | 2022 | 2026 | Optimal graph convolution neural network for efficient particle identification |
| 🔭 | DISPERS | ANR | W. Gillard | CPPM | 2022 | 2026 | Deep learning for slit-less Spectroscopic Redshift survey Simulator |
| ⚛️ | FIDDLE | ANR | G. Dujany | IPHC | 2022 | 2025 | Finding Invisible Decays with Deep Learning at Belle II |
| ⚛️ | DMwithLLPatLHC | ANR | M.-H. Genest | LPSC, LPNHE, LPTHE | 2021 | 2026 | Dark Matter with Long Lived Particles at LHC |
| 🔭 | RICOCHET | ANR | E. Chassande-Mottin | APC, Gipsa-lab | 2021 | 2025 | Interdisciplinary project aimed at developing new tools and methods for the analysis, measure, characterization and simulation of the gravitational wave polarization |
ERC¶
| Physics domain | Title | Funding type | Principal Investigator | Labs | Start year | End year | Short description |
|---|---|---|---|---|---|---|---|
| Physics domain | Title | Funding type | Principal Investigator | Labs | Start year | End year | Short description |
|---|---|---|---|---|---|---|---|
| 💫 | PGTI: Prompt Gamma Time Imaging | ERC | S. Marcatili | LPSC, CPPM | 2022 | 2027 | NN pour calculer la dose de radiation recue par un patient à partir des données d'imagerie médicale en photonthérapie |
Other sources of funding¶
| Physics domain | Title | Funding type | Principal Investigator | Labs | Start year | End year | Short description |
|---|---|---|---|---|---|---|---|
| 🔭 | ML for photometric redshift estimation in DESC | diiP grant | S. Mei | APC | 2022 | 2023 | ML for photometric redshift estimation in DESC |
| 🔭 | Finding the first generation of stars with LSST | CNRS-MITI | Emille Ishida | LPC-Clermont | 2022 | 2023 | Finding the first generation of stars with LSST |
| ⚛️ | Learning from deep sea light with KM3NeT | diiP grant | J. Coelho | APC | 2021 | 2022 | Learning from deep sea light with KM3NeT |
| ⚛️ | Artificial Intelligence on FPGAs: A breakthrough for Data AcQuisition in High Energy Physics experiments and beyond (AIDAQ) | AMIDEX | G. Aad | CPPM | 2019 | 2022 | Artificial Intelligence on FPGAs: A breakthrough for Data AcQuisition in High Energy Physics experiments and beyond (AIDAQ) |
| ☢️ | Development of a gamma-camera for improved quantitative assessment of the heterogeneous distribution and biokinetics of 131I before and after treatment administration for thyroid diseases | Physicancer | Laurent Ménard | IJCLab | 2019 | 2023 | Development of a gamma-camera for improved quantitative assessment of the heterogeneous distribution and biokinetics of 131I before and after treatment administration for thyroid diseases |
| 🔭 | Investigating Diffusion Models for Astronomical Image Deconvolution | diiP grant | A. Boucaud, M. Huertas-Company | APC | 2023 | 2024 | Investigating Diffusion Models for Astronomical Image Deconvolution |
| 💫 | ARTIFACT | A. Ghribi | GANIL | 2023 | 2024 | ||
| 💫 | AMORCE InM4CAST | A. Ghribi | GANIL | 2023 | 2024 | ||
| 💫 | GENCI M4CAST | A. Ghribi | GANIL | 2023 | 2024 | ||
| 💫 | IN2P3 MLAcc / M4CAST | A. Ghribi | GANIL | 2023 | 2024 | ||
| ⚛️ | Unbinned Deconvolution for Particle/Nuclear Physics | France Berkeley Fund | A. Butter | LPNHE | 2023 | 2024 | Unbinned Deconvolution for Particle/Nuclear Physics |
| ⚛️ | Data Science Methods and Tools to Exploit LHC Results | DataMATTER IN2P3 project | S. Kraml | LPSC | 2022 | 2024 | Data Science Methods and Tools to Exploit LHC Results |
| Physics domain | Title | Funding type | Principal Investigator | Labs | Start year | End year | Short description |
|---|---|---|---|---|---|---|---|
| 💫 | Acceleration of Atomic and Nuclear Structure Codes via Artificial Intelligence | CEA (bourse de thèse) | G. Hupin (Co-PI) | IJCLab | 2023 | 2026 | Acceleration of Atomic and Nuclear Structure Codes via Artificial Intelligence |
| 💫 | AI for RF and Cryogenics in superconducting accelerators | Université | A. Ghribi | GANIL | 2023 | 2026 | AI for RF and Cryogenics in superconducting accelerators |
| 🔭 | Various activities around the search for hidden information in AGN data and in boosting sensitivity in gamma-ray and neutrino telescopes | Chaire U. Paris Cité – AstrodiiP | Y. Becherini | APC | 2021 | 2025 | Various activities around the search for hidden information in AGN data and in boosting sensitivity in gamma-ray and neutrino telescopes |
| ⚛️ | H2020 AIDAINNOVA | H. Grasland | IJCLab | 2021 | 2025 | ||
| ⚛️ | MSCA SMARTHEP MSCA ITN | V. Gligorov, B. Malaescu | LPNHE | 2021 | 2025 | ||
| ⚛️ | ANN4EUROPE Franco-German AI grant | V. Gligorov (co-PI) | LPNHE | 2021 | 2025 |
PhD theses¶
| Physics domain | Student name | Director name | Labs | Start year | End year | Funding | Short description | Associated project | Manuscript |
|---|---|---|---|---|---|---|---|---|---|
| 💫 | Emmanuel Gouttière | Johanne Cohen, Hayg Guler | IJCLab | 2020 | 2024 | . | Utilisation de Méthodes d’Apprentissage pour la Modélisation d’un Accélérateur de Particules | ||
| ⚛️ | Aishik Ghosh | David Rousseau | LAL | 2017 | 2020 | . | Simulation du calorimètre électromagnétique de ATLAS à l'aide de réseaux antagonistes génératifs et mesure au LHC des couplages du boson de Higgs hors résonance par inférence sans fonction de vraisemblance | https://theses.hal.science/tel-03324250 | |
| ⚛️ | Fabricio Jiménez | Julien Donini | LPCA | 2016 | 2019 | . | Model independent searches for New Physics using Machine Learning at the ATLAS experiment | https://theses.hal.science/tel-02402488 | |
| ⚛️ | Ziyu Guo | Cristinel Diaconu, Thierry Artières, Yann Coadou | CPPM | 2016 | 2019 | . | Recherche du boson de Higgs dans le canal ttH (H->bb) avec l'experience ATLAS auprès du LHC avec des méthodes d'apprentissage automatique et synchonisation de la description de la géométrie de l'ITk pour la simulation et les études de radiation de la jouvence d'ATLAS pour le HL-LHC | https://theses.fr/2019AIXM0350 | |
| ⚛️ | Jonas Rembser | Philippe Busson | LLR | 2017 | 2020 | . | Mesure de la production de trois bosons massifs et identification des électrons avec le détecteur CMS auprès du LHC | https://theses.hal.science/tel-03720899 | |
| 💫 | Mathieu Debongnie | Jean-Marie de Conto, Frédéric Bouly | LPSC | 2017 | 2021 | . | Etude de la modélisation des accélérateurs de particules par des méthodes de «machine learning» pour optimiser et fiabiliser l'opération d'un linac de forte puissance | https://theses.hal.science/tel-03497446 | |
| ⚛️ | Lucas Torterotot | Colin Bernet | IP2I | 2018 | 2021 | . | _ Recherche de bosons de Higgs supplémentaires de haute masse se désintégrant en paire de taus dans l’expérience CMS au LHC à l’aide du machine learning_ | https://theses.hal.science/tel-03500774 | |
| ⚛️ | Alexandre Hakimi | Jean-Baptiste Sauvan | LLR | 2019 | 2022 | . | Recherche de la diffusion de boson vecteur dans le canal semi-leptonique avec le détecteur CMS et études sur la classification de gerbes électromagnétiques avec HGCAL | https://theses.hal.science/tel-04106669 | |
| ⚛️ | Louis Vaslin | Julien Donini | LPCA | 2019 | 2022 | . | Recherche de Nouvelle Physique avec l'expérience ATLAS en utilisant des techniques de Machine Learning non supervisées et semi-supervisées | ||
| ⚛️ | Nemer Chiedde | E. Monnier, G. Aad | CPPM | 2020 | 2023 | CNRS | Implementation of embedded artificial algorithms on the backend readout boards of the ATLAS liquid argon calorimeter | Link | |
| ⚛️ | Lauri Laatu | E. Monnier, G. Aad | CPPM | 2020 | 2023 | AMIDEX, ANR AIDAQ | Development of artificial intelligence algorithms adapted to big data processing in embedded (FPGAs) trigger systems | Link | |
| ⚛️ | Arnaud Maury | D. Rousseau | IJCLab | 2020 | 2023 | UDOPIA | Simulation-Based Inference for the off-shell Higgs decaying into 4 leptons in ATLAS experiment | - | |
| ⚛️ | Ioan Dinu | J. Donini, Alexa C. | LPC, IFIN-HH | 2019 | 2022 | IFIN-HH | New Small Wheel Muon Detector Trigger Processor Hardware and Beyond Standard Model Searches | - | |
| ⚛️ | Etienne Fortin | E. Monnier, G. Aad | CPPM | 2019 | 2022 | CNRS, Region PACA | Commissioning and performance of the trigger and readout system of the liquid argon calorimeter of ATLAS | Link | |
| ⚛️ | Louis Vaslin | J. Donini, V. Barra | LPC, LIMOS | 2019 | 2022 | University Clermont Auvergne | Recherche de Nouvelle Physique avec l'expérience ATLAS en utilisant des techniques de Machine Learning | - | |
| 🔭 | Bastien Arcelin | E. Aubourg, C. Doux, C. Roucelle | APC | 2018 | 2021 | STEP'UP, ANR AstroDeep | Deblending galaxies with variational autoencoders | Link | |
| ⚛️ | Aishik Ghosh | D. Rousseau | IJCLab | 2017 | 2020 | ED | Simulation of the ATLAS electromagnetic calorimeter using GANs and likelihood-free inference of Higgs couplings | Link | |
| ⚛️ | Ziyu Guo | Y. Coadou, T. Artières | CPPM, LIS | 2016 | 2019 | Aix Marseille Université | Higgs boson search in ATLAS on the ttH(H->bb) channel using ML | Link | |
| ⚛️ | Fabricio Jimenez | J. Donini | LPC | 2016 | 2019 | EU | Model independent searches for New Physics using Machine Learning at the ATLAS experiment | - | |
| 🔭, ⚛️ | Michaël Dell'aiera | T. Vuillaume, A. Benoit | LAPP, LISTIC (USMB) | 2021 | 2024 | ESCAPE, EOSC Future, LAPP | Deep Unsupervised Domain Adaptation for the Cherenkov Telescope Array | - | |
| ☢️ | Théo Bossis | Laurent Ménard | IJCLab | 2020 | 2023 | ED PHENIICS | Développement et évaluation d'un imageur gamma ambulatoire pour radiothérapie interne | - | |
| ⚛️ | Guillaume Albouy | M.-H. Genest, P-A Delsart | LPSC | 2021 | 2024 | ED | Calibration en énergie et masse des jets hadroniques avec un DNN | - | |
| ⚛️ | Federico Nardi | J. Donini, T. Dorigo | LPC, INFN (Padoue) | 2021 | 2024 | EU, INFN | End-to-end optimization of experimental design with automatic differentiation | - | |
| 🔭 | Vincent Duret | S. Escoffier, W. Gillard | CPPM | 2021 | 2024 | AMU | Photometric redshifts calibration and cosmological constraints by tomographic galaxy clustering | - | |
| ⚛️ | Maxime Fernoux | A. Duperrin, E. Petit | CPPM | 2021 | 2024 | CNRS | Preparation of the Higgs boson self-coupling measurement in HH -> bbyy channel with ATLAS | - | |
| 🔭 | Biswajit Biswas | E. Aubourg, C. Roucelle, J. Lao | APC, Google | 2021 | 2024 | COFUND | Deep generative networks for probabilistic source separation | - | |
| 🔭 | Kirill Grishin | S. Mei | APC | 2021 | 2024 | Université Paris Cité | Cluster detection with machine learning and their galaxy population | - | |
| 🔭 | Justine Zeghal | E. Aubourg, A. Boucaud, F. Lanusse | APC, AIM | 2021 | 2024 | STEP'UP, diiP | Accelerating simulation-based inference (SBI) with differentiable simulators | - |
| Physics domain | Student name | Director name | Labs | Start year | End year | Funding | Short description | Associated project | Manuscript |
|---|---|---|---|---|---|---|---|---|---|
| ⚛️ | Zirui Liu | David Rousseau | IJCLab | 2024 | 2027 | CSC | Study of double Higgs production in ATLAS in the bb-gamma gamma channel with Neuro Simulation Based Inference | ||
| ☢️ | Brigitte Pertille-Ritter | Matthieu Lebois | IJCLab | 2023 | 2026 | . | Développement de méthode innovantes basées pour la construction d'un trigger de fission | ||
| ⚛️ | Raphael Bertrand | G. Aad, E. Monnier | CPPM | 2023 | 2026 | CNRS | Développement d'algorithmes d'intelligence artificielle embarqués pour le calorimètre à argon liquide ATLAS | - | |
| ⚛️, ☢️ | Dunstan Becht | N. Pillet, P. Indelicato, G. Hupin | CEA, IJCLab, LKB | 2023 | 2026 | Sorbonne Université | Convergence Acceleration for Atomic and Nuclear Structure Codes by Artificial Intelligence | - | |
| ⚛️ | Ragansu Chakkappai | D. Rousseau | IJCLab | 2023 | 2026 | ChaLearn | Uncertainty aware Artificial Intelligence for Higgs Cross-section measurement in ATLAS | - | |
| ⚛️, 🔭 | Max Eff | Y. Becherini | APC | 2023 | 2026 | Université Paris Cité | AI-based data analysis to unveil HESS faintest sources and search for astrophysical neutrinos in KM3NeT | - | |
| ⚛️ | Eva Mayer | J. Donini, S. Calvet, M. Michel | LPC, LMBP | 2023 | 2026 | ED | Development of statistical learning methods for the search of new physics signatures in ATLAS | - | |
| ⚛️ | Leonardo Splendori | T. Strebler, A. Duperrin | CPPM | 2023 | 2026 | CNRS | Probing the Higgs boson pair production through Vector Boson Fusion at ATLAS | - | |
| ⚛️ | Laura Boggia | B. Malaescu | LPNHE | 2022 | 2025 | EU | Automate the learning of decision models by combining statistical and knowledge-based methods | - | |
| ⚛️ | Anthony Coreia | V. Gligorov | LPNHE | 2022 | 2025 | Franco German AI grant | Full reconstruction of charged particles in the LHCb detector using a graph neural network | - | |
| ⚛️ | Fotis Giasemis | V. Gligorov, B. Granado | LPNHE | 2022 | 2025 | EU (MSCA) | Charged Particle Reconstruction using Neural Networks on heterogenous architectures | - | |
| ⚛️, 🔭 | Enzo Oukacha | Y. Becherini | APC | 2022 | 2025 | Université Paris Cité | Search for neutrino-gamma correlations in the extragalactic sky | - | |
| ⚛️, 🔭 | Santiago Peña Martínez | A. Kouchner, J. Coelho | APC | 2022 | 2025 | STEP'UP | Deeply Learning from Neutrino Interactions with the KM3NeT neutrino telescope | - | |
| 🔭 | Lucas Sauniere | S. Escoffier, W. Gillard | CPPM | 2022 | 2025 | AMU | Instrument model for the NISP Slit-Less spectroscopy | - | |
| ☢️ | Brigitte Pertille | Matthieu Lebois | IJCLab | 2023 | 2026 | ED PHENIICS | Development of innovative methods for a fission trigger construction | - |