Conferences / Seminars


  • BASP frontiers meeting, January 29th-February 3rd 2017, (Benjamin Wandelt)
  • February 3rd 2017, University of Helsinki, Helsinki, Finland (Guilhem Lavaux)
  • PONT conference, April 24-28th 2017, Avignon, France (Guilhem Lavaux) (slides)
  • June 8th 2017, IRAP, Toulouse, France (Guilhem Lavaux)
  • EWASS/SS14 conference, June 2017, Prague, Czech Republic (Guilhem Lavaux, Doogesh Kodi Ramanah)
  • Nordita - Advances in Theoretical Cosmology in Light of Data, July 2017, Stockholm, Sweden (Benjamin Wandelt)
  • September 21th, 2017, CCA, Flatiron Institute, New York, USA (Guilhem Lavaux)
  • September 25th, 2017, IAS, Princeton, USA (Guilhem Lavaux)
  • December 18-20th, 2017, Virgo Consortium meeting, MPA, Garching, Germany (Jens Jasche)


  • April 18-20th, 2018, Statistical challenges for large-scale structure in the era of LSST, Oxford, UK (Doogesh Kodi Ramanah {slides}, Thomas Charnock {slides}, Guilhem Lavaux {slides}, Jens Jasche), Notes on the meeting
  • May 22-26th, 2018, Cosmo21, Valencia, Spain (Doogesh Kodi Ramanah, Thomas Charnock, Guilhem Lavaux, Jens Jasche)
  • June 15th, 2018, University of Helsinki astrophysics seminar, Helsinki, Finland (Guilhem Lavaux)
  • July 15-21 2018, The 2018 Nonlinear Universe workshop, Slovenia (Jens Jasche)
  • Institut Henri Poincare trimester Analytics, Inference, and Computation in Cosmology, Fall 2018,
  • October 3rd 2018, Short seminar presentation, Kavli Institute, University of Cambridge, United Kingdom (Doogesh Kodi Ramanah, {slides})
  • October 5th 2018, Short seminar presentation, Department of Physics, University of Oxford, United Kingdom (Doogesh Kodi Ramanah, {slides})
  • Bayesian reconstruction of the cosmic DM flow, Statistical inference trimester, IHP, (Florian Führer)
  • Statistical inference conference, IHP, October 22-26, Thomas Charnock {slides} Δ, Jens Jasche {slides}, Guilhem Lavaux {slides}, Florent Leclercq {slides}
  • HDR defense of G. Lavaux, IAP, November 12th, {slides pdf}
  • SDSS4 eBOSS meeting in Paris, Amphithéatre Charpak, Sorbonne Université, December 11th, {slides pdf}


  • BASP Conference, February 4-8, Florian Führer
  • Building fast complex dynamics emulators for Bayesian Hierarchical Modeling, 29 mars 2019, Guilhem Lavaux, Stockholm University, ( {slides}
  • The Aquila consortium, Beecroft Seminar, Department of Physics, University of Oxford, UK, May 7th
  • "Explorer l'univers à dos de telescope", Pint of Science 2019, Montrouge, May 22nd, Guilhem Lavaux.
  • GRC String And Cosmology Conference, Casteldelfels (Barcelona), Spain, June 16-21, Guilhem Lavaux
  • Bayesian statistical inference and deep learning for primordial cosmology and cosmic acceleration, D. Kodi Ramanah, 2019-09-10, PhD thesis defence, Paris, France.
  • Neural physical engines for inferring the halo mass distribution function, T. Charnock, 2019-10-09, APC seminar, Paris, France
  • KICC10, Cambridge, UK, September 16-23, Guilhem Lavaux
  • A systematic-free Bayesian analysis of SDSS3/BOSS and its correlation with CMB lensing, G. Lavaux, 2019-09-15, Journal Club Univers, IAP, France.
  • Euclid France, 8th symposium, IMO, Orsay, France, November 27-29 2019, Guilhem Lavaux.


  • Inference of mass of clusters of galaxies with BORG, G. Lavaux, Workshop "Amas France", 2020-12-10
  • Bayesian cosmological analysis with full forward modeling of galaxy data-sets, G. Lavaux, DTP-TIFR, Mumbai, India, 2020-11-17
  • Machine learning for cosmology and astronomy, T. Charnock, Cosmology and Astroparticle physics group, University of Geneva, Geneva, Switzerland, 2020-02-28
  • Bayesian deep learning for cosmology and gravitational waves, T. Charnock, Bayesian deep learning for cosmology and gravitational waves, PCCP Workshop series, APC, Paris, 2020-03-04
  • Machine learning for cosmology and astronomy, T. Charnock, Physique théorique : gravitation et cosmologie, Institut d'Astrophysique de Paris, Paris, France, 2020-02-17
  • Neural networks: How they work and their future in science, T. Charnock, Scuola Internazionale Superiore di Studi Avanzati, Trieste, Italy, 2020-01-22
  • Parameter inference using neural networks, T. Charnock, Machine learning meets astrophysics, CEA, Saclay, France, 2020-01-17 (slides)
  • Facing the details of galaxy observations for cosmic web reconstruction and analysis, G. Lavaux, The Cosmic Web in the Local Universe, Lorentz Center, 2020-01-29


  • Cosmology with Bayesian hierarchical models of cosmic shear data, N. Porqueres, Cosmology from home conference, 2021-07-13
  • Bayesian inference of large scale structure surveys assisted by Deep learning emulators, G. Lavaux, Atelier PNCG, Journées 2021 de la SF2A, Paris, France, 2021-06-09
  • Bayesian analyses of galaxy surveys, F. Leclercq, Queen Mary University of London, London, UK, 2021-06-09
  • Local cosmolo(graph)y with forward modelling, G. Lavaux, Seminar of Lyon Group Meeting, IPNL, Lyon, France, 2021-06-08
  • Cross-correlation likelihood for Bayesian density & cosmological inference, G. Lavaux, Cambridge Journal Club, Cambridge, UK, 2021-05-18
  • Bayesian Forward modeling of cosmic structures in galaxy surveys, J. Jasche, NYU-CCA Cosmology x Data Science, New York, 2021-03-12
  • Bayesian forward modelling of cosmic shear data, N. Porqueres, Euclid Forward Model WP, 2021-02-16
  • The BORG framework, G. Lavaux, Euclid WP "Galaxy Environment", 2021-01-11

Collaboration meetings

  • Gaia collaboration meeting, March 2017, Observatoire de Nice, Nice, France (PLUS project, Sébastien Peirani)
  • Mini-workshop on cosmicflows, Lyon, October 2nd, 2017
  • Visit to Sibelius Collaboration (University of Helsinki), January 14th-24th 2019
  • Visit to OCA (Nice), March 6th-11th 2019