Paris workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics

Europe/Paris
Buffon Amphitheater (APC laboratory, Université Paris Cité)

Buffon Amphitheater

APC laboratory, Université Paris Cité

Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
Description

Machine learning attracts a lot of interest in the fields of cosmology and time-domain astronomy and may potentially lead to major breakthroughs. Its adoption by the scientific community has been increasing dramatically in the past few years. Current progress in the machine learning community can simultaneously bring a lot to ours and must be monitored closely.

Among developments of interest for the astronomy community, probabilistic machine learning models, especially Bayesian neural networks, bring an estimation of uncertainty and combine deep neural networks architecture with Bayesian inference

Cosmologists also rely a lot on forward modelling and often face intractable likelihoods. Modern techniques like simulation-based inference and differentiable programming can be very valuable for model selection and model parameters inference.

Time series analyses have relied for some time on the use of recurrent neural networks, more recently on transformers. Some other analyses have been using convolutional neural networks, or graph neural networks. The workshop will explore if new architectures like graph transformers could be relevant in some fields, and how such networks can be made probabilistic.

This workshop will give the participants the opportunity to learn more about these emerging methods and how to use and exploit them in their research. The  program includes invited lectures and tutorials from major computer science experts and invited and contributed talk, and poster sessions aimed at sharing experience between physicists on the practical applications of machine learning. It is intended for researchers and students that are familiar with machine learning, use this type of algorithms for their own work, and want to learn about the advanced techniques related to Bayesian deep learning.

This workshop is part of the LSSTC Enabling Science effort and will give opportunity to younger scientists to apply for a grant covering lodging and part of the conference fees. Application can be made through a dedicated page on the menu on the left 👈.

Workshop program

  • Mon 20 – "School day" with 4 x 90 min interactive sessions
  • Tue 21–Fri 24 June – Workshop with keynote speakers, contributed talks, tutorials, round tables and lightning talks.

Workshop topics

  • Cosmology and time-domain astro applications of Bayesian deep networks
  • Methods for quantifying models uncertainty
  • Anomaly and outlier detection
  • Simulation-based and likelihood-free inference
  • Probabilistic ML frameworks
  • Use of Bayesian deep learning outside of academia
  • Ethics of large-scale machine learning

Important dates

  • April 19th 2022 – pre-registration, registration and call for contributions start
  • May 18th 2022 – contributions & grant application deadline for pre-registered young scientists
  • June 6th 2022 – end of registration

Confirmed speakers

  • Anja Butter, ITP Heidelberg, Germany
  • Colin Caroll, Google, USA
  • Jean-Gabriel Ganascia, LIP6, Paris, France
  • Stephen Green, MPI, Potsdam, Germany
  • Alan Heavens, Imperial College, London, UK
  • Tomasz Kacprzak, ETH Zurich / PSI, Switzerland
  • Junpeng Lao, Google, Switzerland
  • Ashley Villar, Penn State University, USA
  • Ben Wandelt, IAP, Paris, France
Participants
  • Adnan Ghribi
  • Agne Semenaite
  • Alan Heavens
  • Alessio Spurio Mancini
  • Alex Kolmus
  • Alexander Gagliano
  • Alexandre Boucaud
  • Alexandre Toubiana
  • Alexis Sanchez
  • Ali Hamie
  • Alice Desmons
  • Anja Butter
  • Arya Farahi
  • Auratrik Sharma
  • Axel Guinot
  • Beatrice Moser
  • Benjamin Remy
  • Benjamin Wandelt
  • Biswajit Biswas
  • Brieuc CONAN-GUEZ
  • Caramete Laurentiu
  • Chad Schafer
  • Chantal Pitte
  • Claire Theobald
  • Colin Carroll
  • Cyrille Doux
  • Cyrille Rosset
  • Cássia Nascimento
  • Cécile Roucelle
  • Damon Beveridge
  • Daniela Saadeh
  • Denise Lanzieri
  • Emille Ishida
  • Emmanuel Moulin
  • Erfan Abbasgholinejadkhamirgir
  • Eric Aubourg
  • Eric Chassande-Mottin
  • Estelle Robert
  • Fangchen Feng
  • Farida Farsian
  • Federica Bianco
  • Federico Stachurski
  • Filippo Santoliquido
  • Florentina-Crenguta Pislan
  • Francois Lanusse
  • Frédéric Pennerath
  • Gautham Narayan
  • Gourav Khullar
  • Harsh Narola
  • Helen Qu
  • Hung-Jin Huang
  • Ivan Martin Vilchez
  • James Buchanan
  • James Thorne
  • Jean-Eric Campagne
  • JEAN-GABRIEL GANASCIA
  • Jean-Luc Starck
  • JOHANN COHEN-TANUGI
  • Joseph Chevalier
  • João Paulo França
  • Julien Zoubian
  • Junpeng Lao
  • Justin Janquart
  • Justine Zeghal
  • Kallol Dey
  • Khun Sang Phukon
  • Konstantin Malanchev
  • Kristen Lackeos
  • Kyubin Kwon
  • Lukas Eisert
  • Mariano Dominguez
  • Mark Cheung
  • Matthew Docherty
  • Matthew Lowery
  • Matthew Mould
  • Mohammed Fellaji
  • NANDITA KHETAN
  • Nastassia Tardy
  • Natalia Korsakova
  • Nataliya Porayko
  • Nils Candebat
  • Paola Dimauro
  • Paula Sanchez Saez
  • Punyakoti Ganeshaiah Veena
  • Riccardo Crupi
  • Robert Lilow
  • Romain Meriot
  • Ronaldas Macas
  • Rose Clivia Santos
  • Saba Etezad Razavi
  • Sasli Argyro
  • Shoubaneh Hemmati
  • Simona Mei
  • Sreevani Jarugula
  • Stanislav Babak
  • Stefan Strub
  • Stephen Green
  • Sukhdeep Singh
  • Surojit Saha
  • Sylvie Dagoret-Campagne
  • Tatiana Acero Cuellar
  • Thomas Sainrat
  • Thomsen Arne
  • Tilman Troester
  • Ting Tan
  • Tomasz Baka
  • Tomasz Kacprzak
  • Tomomi Sunayama
  • Victoria Ashley Villar
  • Vincent Duret
  • Vincenzo Mariani
  • Vlad-Andrei Basceanu
  • Yesukhei Jagvaral
  • Yvonne Becherini
  • Zheng Jinglan
    • 08:30 09:00
      Discussions around coffee & tea - Registration 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 09:00 09:15
      Organisers: Welcome address – Workshop Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      Présidents de session: Alexandre Boucaud (APC / IN2P3), Cécile Roucelle (APC), Eric Aubourg (APC)
    • 09:15 10:35
      Uncertainties Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      • 09:15
        When (not) to use uncertainties for ML in particle physics 1h
        Orateur: Anja Butter (LAL Orsay)
      • 10:15
        Sampling high-dimensional posterior with a simulation based prior 20m
        Orateur: Benjamin Remy (CEA Paris-Saclay)
    • 10:35 10:45
      Lightning talks: lighting talks session 1 Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris

      PhD or postdocs present quickly their work

      • 10:35
        Bayesian planetary numerical ephemerides B-INPOP with MCMC 2m
        Orateur: Vincenzo Mariani (Observatoire de la Côte d'Azur, GeoAzur)
      • 10:37
        Inferring Cosmological parameters using Normalizing Flows and Gravitational Waves (CosmoFlow) 2m
        Orateur: Federico Stachurski (University of Glasgow)
      • 10:39
        Search for ultra-fast radio bursts 2m
        Orateur: Kristen Lackeos (Max Planck Institute for Radio Astronomy)
      • 10:41
        Deep Learning Techniques for Time Series Analysis in the context of Gravitational Waves Detection 2m
        Orateur: Vlad-Andrei Basceanu (Institute of Space Science, Romania)
    • 10:45 11:15
      Coffee break 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 11:15 11:25
      Lightning talks: lighting talks session 2 Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris

      PhD or postdocs present quickly their work

      • 11:15
        There's no difference: Convolutional Neural Networks for transient detection without template subtraction 1m
        Orateur: Tatiana Acero Cuellar (University of Delaware)
      • 11:16
        SNAD miner: Finding Missed Transient Events in ZTF DR4 1m

        We report the automatic detection of 11 transients (7 possible supernovae and 4 active galactic nuclei candidates) within the Zwicky Transient Facility fourth data release (ZTF DR4), all of them observed in 2018 and absent from public catalogs. Among these, three were not part of the ZTF alert stream. Our transient mining strategy employs 41 physically motivated features extracted from both real light curves and four simulated light curve models (SN Ia, SN II, TDE, SLSN-I). These features are input to a k-D tree algorithm, from which we calculate the 15 nearest neighbors. After pre-processing and selection cuts, our dataset contained approximately a million objects among which we visually inspected the 105 closest neighbors from seven of our brightest, most well-sampled simulations, comprising 89 unique ZTF DR4 sources. Our result illustrates the potential of coherently incorporating domain knowledge and automatic learning algorithms, which is one of the guiding principles directing the SNAD team. It also demonstrates that the ZTF DR is a suitable testing ground for data mining algorithms aiming to prepare for the next generation of astronomical data.

        Orateur: Konstantin Malanchev (University of Illinois at Urbana-Champaign)
    • 11:25 12:05
      Time Domain Astrophysics Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      • 11:25
        SNAD: anomaly detection for large scale time-domain astronomy 20m
        Orateur: Konstantin Malanchev (University of Illinois at Urbana-Champaign)
      • 11:45
        A Convolutional Neural Network Approach to Classifying Supernova Time-Series Photometry 20m
        Orateur: Helen Qu (University of Pennsylvania)
    • 12:05 13:45
      Lunch on your own : see booklet infos for advice & suggestions 1h 40m
    • 13:45 14:15
      Discussions around coffee & tea + poster discussions 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 14:15 15:55
      Time Domain Astrophysics Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 15:55 16:25
      Coffee break 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 16:25 17:55
      Round table: Inference & uncertainties Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      Président de session: Francois Lanusse ({CNRS}UMR7158)
      • 16:25
        ML inference & uncertainties 1h 30m

        Chair : François Lanusse - AIM/CEA/CNRS/Paris-Saclay University/Paris Cite University

        Panel :
        Yvonne Becherini - Université de Paris, APC, diiP
        Emille Ishida - CNRS/LPC-Clermont
        Colin Carroll - Google
        Benjamin Wandelt - Institut d'Astrophysique de Paris

    • 08:30 09:00
      Discussions around coffee & tea + poster discussions 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 09:00 10:40
      ML Methodology: Simulation based Inference, tools and methods Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 10:40 11:10
      Coffee break 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 11:10 11:20
      Lightning talks: lighting talks session 3 Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris

      PhD or postdocs present quickly their work

      • 11:10
        Background Estimation in Fermi Gamma-ray Burst Monitor lightcurves through a Neural Network 2m

        The aim of this work is to provide a data-driven approach to estimate a background model for the Gamma-Ray Burst Monitor (GBM) of Fermi satellite. We employ a Neural Network (NN) to estimate each detector background signal given the information of the satellite: position, velocity, direction of the detectors, etc.
        The estimated background can be employed into a triggering algorithm to discover significant long/weak events that are not previously detected by other approaches.
        We show the potential of the model by estimating the background on GBM data for Gamma-Ray Bursts (GRBs) present in GBM cataloge, the long GRB 190320 and ultra-long GRB 091024.
        The proposed approach is straightforwardly generalizable to estimate the background model of other satellites.

        Orateur: Dr Riccardo Crupi (Università di Udine)
      • 11:12
        A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression 2m
        Orateur: Claire Theobald (LORIA)
      • 11:14
        Improvement of the statistical model of a photoz bayesian estimator hybridizing a SED template fitting and a gaussian process 2m
        Orateur: Joseph Chevalier (IJCLab)
      • 11:16
        Applying Likelihood-Free Inference to LISA parameter estimation: a project 2m
        Orateur: Ivan Martin Vilchez (Institute of Space Science (ICE, CSIC and IEEC))
      • 11:18
        Complete inference for binary-black hole gravitational wave data analysis 2m

        When merging, two black holes spiral each other before coalescing into a bigger compact object, distorting the fabric of space-time and emitting gravitational waves. These can be detected and analyzed. Most of the analysis techniques rely on computationally-expensive Bayesian inference software. Recently, machine-learning-based techniques have emerged. These have the advantage that the computational burden is moved upstream; the model needs to be trained once in a more expensive step but is then able to produce samples very rapidly. That way, the analysis of gravitational wave data can be done faster during the observation periods. Since the detection rate increases each time the detectors are upgraded, it means that it will be more and more complicated to keep up the pace to analyze the data. Therefore, fast techniques such as machine-learning-based ones are very interesting. In addition, it is desirable to extract as much information as possible out of the observed events. This requires accounting for the lower mass binary black holes but also probing the higher-order mode content present in the signal. To analyze the entire possible spectrum of binary black hole signals and to extract as much information as possible, we present a deep-learning-based algorithm able to analyze merging compact objects down to a chirp mass of 3 solar masses. Using this method would facilitate the analysis of the increasing amount of gravitational wave events to analyze.

        Orateur: Alex Kolmus
    • 11:20 12:40
      ML Methodology: Simulation based Inference, tools and methods Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 12:40 14:00
      Lunch on your own : see booklet infos for advice & suggestions 1h 20m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 14:00 14:30
      Discussions around coffee & tea + poster discussions 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 14:30 15:50
      Gravitational Waves Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      • 14:30
        Simulation-based inference for gravitational waves 1h
        Orateur: Stephen Green (Albert Einstein Institute Potsdam)
      • 15:30
        Fast Parameter Estimation for Massive Black Hole Binaries with Normalising Flows 20m
        Orateur: Natalia Korsakova (APC)
    • 15:50 17:30
      Poster session: posters and a cup of tea Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 19:00 21:00
      Cocktail - La Barge 2h Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 08:30 09:00
      Discussions around coffee & tea + poster discussions 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 09:00 10:40
      Cosmology Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      • 09:00
        Artificial Intelligence: a game-changer for large scale structure cosmology 1h

        In large scale structure cosmology, the information about the cosmological parameters governing the evolution of the universe is contained in the complex and rich structure of dark matter density field.
        To date, this information was probed using simple human-designed statistics, such as the 2-pt functions, which are not guaranteed or expected to capture the full information content of the LSS maps.
        Recently, multiple AI-based methods have been proposed to work with this highly complex data: both for parameter inference and to aid the generation of simulations.
        In this talk I will review the progress of practical appliacations of AI to the LSS inference and modelling and highlight with the focus on areas in which AI can be a "game-changer".
        I will discuss the recent applications of AI to weak lensing analysis, probe combination, mass map emulators and the creation multi-field simulations.
        I will present upcoming simulation sets available to the community that can be used to further advance these techniques.

        Orateur: Dr Tomasz Kacprzak (ETH Zurich)
      • 10:00
        The Extended LSST Astronomical Time Series Classification Challenge (ELAsTiCC) 20m
        Orateur: Gautham Narayan (University of Illinois at Urbana-Champaign)
      • 10:20
        Hybrid Physical-Neural ODEs for fast differentiable N-body Simulations 20m
        Orateur: Denise Lanzieri (Cosmostat, CEA Paris-Saclay)
    • 10:40 11:10
      Coffee break 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 11:10 12:30
      Cosmology Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      • 11:10
        Unraveling the role of cosmic velocity field in dark matter halo mass function using deep learning 20m
        Orateurs: Erfan Abbasgholinezhad (Sharif Uniersity of Technology), Saba Etezad Razavi (Sharif University of Technology)
      • 11:30
        Graph-Convolutional Neural Networks for large-scale structure clustering 20m
        Orateur: Farida Farsian (Bologna University)
      • 11:50
        Maximum-A-posteriori estimate with Deep generative NEtworks for Source Separation (MADNESS) 20m
        Orateur: Biswajit Biswas (APC)
      • 12:10
        Interpreting non-Gaussian posterior distributions of cosmological parameters with normalizing flows 20m
        Orateur: Cyrille Doux (Laboratoire de Physique Subatomique et de Cosmologie)
    • 12:30 14:00
      Lunch on your own : see booklet infos for advice & suggestions 1h 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 14:00 14:30
      Discussions around coffee & tea + poster discussions 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 14:30 15:50
      Ethics of large scale machine learning Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 15:50 16:20
      Coffee break 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 16:20 17:20
      Cosmology: remote talks Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      • 16:20
        Deblending Galaxies with Generative Adversarial Networks 20m
        Orateur: Shoubaneh Hemmati (shemmati@caltech.edu)
      • 16:40
        Galaxies and Halos on Graph Neural Networks: Deep Generative Modeling Scalar and Vector Quantities for Intrinsic Alignment 20m
        Orateur: Yesukhei Jagvaral
      • 17:00
        COSMOPOWER: Deep Learning - accelerated Bayesian inference from next-generation cosmological surveys 20m

        Next-generation Large-Scale Structure (LSS) and Cosmic Microwave Background (CMB) surveys will provide us with unprecedented levels of precision in the final constraints on our cosmological model. However, the computational challenges posed by these enormous datasets dangerously hinder their analysis within a Bayesian framework for rigorous uncertainty propagation – a condition necessary to ensure correspondingly high levels of accuracy in the final constraints.

        In my talk I will present COSMOPOWER, an open-source Python framework for Deep Learning accelerated Bayesian inference from next-generation CMB and LSS surveys. COSMOPOWER provides orders-of-magnitude acceleration to the inference pipeline by training Deep Learning emulators of matter and CMB power spectra. I will show how these emulators meet the accuracy requirements for application to both currently available cosmological data, such as from the Kilo-Degree Survey (KiDS), as well as to simulated, next-generation data from e.g. a Euclid-like survey. The emulators always recover the fiducial cosmological constraints, while providing a speed-up factor up to Ο(10^4) to the complete inference pipeline. Bayesian parameter contours can thus be recovered in just a few seconds on a common laptop, as opposed to the many hours, days or months of runtime on computer clusters required by standard methods. I will conclude with an outlook on extensions of this software that are currently being developed to extend COSMOPOWER into a fully differentiable library for cosmology.

        Orateur: Alessio Spurio Mancini (University College London)
    • 17:20 17:30
      break 10m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
    • 17:30 19:00
      Round table: ML in the next decades Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris
      Président de session: Eric Aubourg (APC)
      • 17:30
        ML in the next decades 1h 30m

        Jean-Gabriel Ganascia - Sorbonne Université
        Laurent Daudet - LightOn
        Anja Butter - IPT Heidelberg

    • 08:30 09:00
      Discussions around coffee & tea 30m Amphitheater 3B (Halle aux farines - Université Paris Cité)

      Amphitheater 3B

      Halle aux farines - Université Paris Cité

      10, 16 rue Françoise Dolto 75013 Paris 9, 15 esplanade Pierre Vidal-Naquet 75013 Paris
    • 09:00 10:30
      ML Tools: Effective scan and while_loop in TF and JAX Amphitheater 3B (Halle aux farines - Université Paris Cité)

      Amphitheater 3B

      Halle aux farines - Université Paris Cité

      10, 16 rue Françoise Dolto 75013 Paris 9, 15 esplanade Pierre Vidal-Naquet 75013 Paris
      Président de session: Junpeng Lao (Google Zurich)
    • 10:30 11:00
      Coffee break 30m Amphitheater 3B (Halle aux farines - Université Paris Cité)

      Amphitheater 3B

      Halle aux farines - Université Paris Cité

      10, 16 rue Françoise Dolto 75013 Paris 9, 15 esplanade Pierre Vidal-Naquet 75013 Paris
    • 11:00 12:00
      Conclusion & discussion session Amphitheater 3B (Halle aux farines - Université Paris Cité)

      Amphitheater 3B

      Halle aux farines - Université Paris Cité

      10, 16 rue Françoise Dolto 75013 Paris 9, 15 esplanade Pierre Vidal-Naquet 75013 Paris
      Président de session: Victoria Ashley Villar
    • 12:00 12:30
      Getting lunch to go : see booklet infos for advice & suggestions 30m
    • 12:30 14:00
      Breakout session over lunch 1h 30m Buffon Amphitheater

      Buffon Amphitheater

      APC laboratory, Université Paris Cité

      Amphitheater : 15 rue Hélène Brion 75013 Paris APC : 10 Rue Alice Domon et Léonie Duquet, 75013 Paris