Name: Paris workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics
Start: 2022-06-20T07:00:00+02:00
End: 2022-06-24T17:20:00+02:00
Location: APC laboratory, Université Paris Cité

lundi 20 juin 2022

08:30 Discussions around coffee & tea - Registration
Discussions around coffee & tea - Registration
08:30 - 09:00
Room: Buffon Amphitheater

09:00 Welcome address - BDL School
Welcome address - BDL School
09:00 - 09:10
Room: Buffon Amphitheater
09:10 BDL school
BDL school
09:10 - 10:40
Room: Buffon Amphitheater
Contributions

09:10 Introduction to Bayesian Modeling - Alan Heavens ( Imperial College London)
10:40 Coffee break
Coffee break
10:40 - 11:10
Room: Buffon Amphitheater
11:10 BDL School
BDL School
11:10 - 12:40
Room: Buffon Amphitheater
Contributions

11:10 Bayesian Time Series Analysis with TFP on JAX - Junpeng Lao (Google Zurich)
12:40 Lunch (on your own)
Lunch (on your own)
12:40 - 14:10
Room: Buffon Amphitheater
14:10 BDL school
BDL school
14:10 - 15:40
Contributions

14:10 Probabilistic Deep Learning with TFP and JAX/Flax - Francois Lanusse ({CNRS}UMR7158)
15:40 Coffee break
Coffee break
15:40 - 16:10
Room: Buffon Amphitheater
16:10 BDL school
BDL school
16:10 - 17:40
Room: Buffon Amphitheater
Contributions

16:10 Likelihood-Free Inference and Application to Cosmology - Benjamin Wandelt (IAP)
mardi 21 juin 2022

08:30 Discussions around coffee & tea - Registration
Discussions around coffee & tea - Registration
08:30 - 09:00
Room: Buffon Amphitheater

09:00 Welcome address – Workshop
Welcome address – Workshop
09:00 - 09:15
Room: Buffon Amphitheater
09:15
09:15 - 10:35
Room: Buffon Amphitheater
Contributions

09:15 When (not) to use uncertainties for ML in particle physics - Anja Butter (LAL Orsay)

10:15 Sampling high-dimensional posterior with a simulation based prior - Benjamin Remy (CEA Paris-Saclay)
10:35 lighting talks session 1
lighting talks session 1
10:35 - 10:45
Room: Buffon Amphitheater
Contributions

10:35 Bayesian planetary numerical ephemerides B-INPOP with MCMC - Vincenzo Mariani (Observatoire de la Côte d'Azur, GeoAzur)

10:37 Inferring Cosmological parameters using Normalizing Flows and Gravitational Waves (CosmoFlow) - Federico Stachurski (University of Glasgow)

10:39 Search for ultra-fast radio bursts - Kristen Lackeos (Max Planck Institute for Radio Astronomy)

10:41 Deep Learning Techniques for Time Series Analysis in the context of Gravitational Waves Detection - Vlad-Andrei Basceanu (Institute of Space Science, Romania)
10:45 Coffee break
Coffee break
10:45 - 11:15
Room: Buffon Amphitheater
11:15 lighting talks session 2
lighting talks session 2
11:15 - 11:25
Room: Buffon Amphitheater
Contributions

11:15 There's no difference: Convolutional Neural Networks for transient detection without template subtraction - Tatiana Acero Cuellar (University of Delaware)

11:16 SNAD miner: Finding Missed Transient Events in ZTF DR4 - Konstantin Malanchev (University of Illinois at Urbana-Champaign)
11:25
11:25 - 12:05
Room: Buffon Amphitheater
Contributions

11:25 SNAD: anomaly detection for large scale time-domain astronomy - Konstantin Malanchev (University of Illinois at Urbana-Champaign)

11:45 A Convolutional Neural Network Approach to Classifying Supernova Time-Series Photometry - Helen Qu (University of Pennsylvania)
12:05 Lunch on your own : see booklet infos for advice & suggestions
Lunch on your own : see booklet infos for advice & suggestions
12:05 - 13:45

13:45 Discussions around coffee & tea + poster discussions
Discussions around coffee & tea + poster discussions
13:45 - 14:15
Room: Buffon Amphitheater
14:15
14:15 - 15:55
Room: Buffon Amphitheater
Contributions

14:15 Bayesian DL methods in extragalactic, time-domain studies - Victoria Ashley Villar (Penn State university)

15:15 Searching for changing-state AGNs in massive datasets with anomaly detection - Paula Sanchez Saez (European Southern Observatory (ESO))

15:35 Adapting to big data: active anomaly detection on ZTF - Emille Ishida (Universit ́e Clermont Auvergne, CNRS/IN2P3, LPC)
15:55 Coffee break
Coffee break
15:55 - 16:25
Room: Buffon Amphitheater
16:25 Inference & uncertainties
Inference & uncertainties
16:25 - 17:55
Room: Buffon Amphitheater
Contributions

16:25 ML inference & uncertainties
mercredi 22 juin 2022

08:30 Discussions around coffee & tea + poster discussions
Discussions around coffee & tea + poster discussions
08:30 - 09:00
Room: Buffon Amphitheater
09:00 Simulation based Inference, tools and methods
Simulation based Inference, tools and methods
09:00 - 10:40
Room: Buffon Amphitheater
Contributions

09:00 Scalable Bayesian Workflows in JAX - Colin Carroll (Google)

10:00 Fast Inference of Star Formation Histories of Galaxies with Spectra and Simulation-Based Inference (SBI) - Gourav Khullar (Dept of Astronomy and Astrophysics, Kavli Institute for Cosmological Physics (KICP), University of Chicago)

10:20 HARMONIC: Bayesian model comparison for simulation-based inference - Matthew Docherty (UCL)
10:40 Coffee break
Coffee break
10:40 - 11:10
Room: Buffon Amphitheater
11:10 lighting talks session 3
lighting talks session 3
11:10 - 11:20
Room: Buffon Amphitheater
Contributions

11:10 Background Estimation in Fermi Gamma-ray Burst Monitor lightcurves through a Neural Network - Riccardo Crupi (Università di Udine)

11:12 A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression - Claire Theobald (LORIA)

11:14 Improvement of the statistical model of a photoz bayesian estimator hybridizing a SED template fitting and a gaussian process - Joseph Chevalier (IJCLab)

11:16 Applying Likelihood-Free Inference to LISA parameter estimation: a project - Ivan Martin Vilchez (Institute of Space Science (ICE, CSIC and IEEC))

11:18 Complete inference for binary-black hole gravitational wave data analysis - Alex Kolmus
11:20 Simulation based Inference, tools and methods
Simulation based Inference, tools and methods
11:20 - 12:40
Room: Buffon Amphitheater
Contributions

11:20 Enhancing gravitational-wave population inference with deep learning - Matthew Mould (University of Birmingham)

11:40 Neural Posterior Estimation with Differentiable Simulators - Justine Zeghal (APC)

12:00 Amortized variational inference for supernovae light curves - Alexis Sánchez (Universidad de Concepción)

12:20 Self-Supervised Machine Learning; Detecting Galaxy Tidal Features in HSC-SSP - Alice Desmons (UNSW Sydney)
12:40 Lunch on your own : see booklet infos for advice & suggestions
Lunch on your own : see booklet infos for advice & suggestions
12:40 - 14:00
Room: Buffon Amphitheater

14:00 Discussions around coffee & tea + poster discussions
Discussions around coffee & tea + poster discussions
14:00 - 14:30
Room: Buffon Amphitheater
14:30
14:30 - 15:50
Room: Buffon Amphitheater
Contributions

14:30 Simulation-based inference for gravitational waves - Stephen Green (Albert Einstein Institute Potsdam)

15:30 Fast Parameter Estimation for Massive Black Hole Binaries with Normalising Flows - Natalia Korsakova (APC)
15:50 posters and a cup of tea
posters and a cup of tea
15:50 - 17:30
Room: Buffon Amphitheater

19:00 Cocktail - La Barge
Cocktail - La Barge
19:00 - 21:00
Room: Buffon Amphitheater
jeudi 23 juin 2022

08:30 Discussions around coffee & tea + poster discussions
Discussions around coffee & tea + poster discussions
08:30 - 09:00
Room: Buffon Amphitheater
09:00
09:00 - 10:40
Room: Buffon Amphitheater
Contributions

09:00 Artificial Intelligence: a game-changer for large scale structure cosmology - Tomasz Kacprzak (ETH Zurich)

10:00 The Extended LSST Astronomical Time Series Classification Challenge (ELAsTiCC) - Gautham Narayan (University of Illinois at Urbana-Champaign)

10:20 Hybrid Physical-Neural ODEs for fast differentiable N-body Simulations - Denise Lanzieri (Cosmostat, CEA Paris-Saclay)
10:40 Coffee break
Coffee break
10:40 - 11:10
Room: Buffon Amphitheater
11:10
11:10 - 12:30
Room: Buffon Amphitheater
Contributions

11:10 Unraveling the role of cosmic velocity field in dark matter halo mass function using deep learning - Erfan Abbasgholinezhad (Sharif Uniersity of Technology) Saba Etezad Razavi (Sharif University of Technology)

11:30 Graph-Convolutional Neural Networks for large-scale structure clustering - Farida Farsian (Bologna University)

11:50 Maximum-A-posteriori estimate with Deep generative NEtworks for Source Separation (MADNESS) - Biswajit Biswas (APC)

12:10 Interpreting non-Gaussian posterior distributions of cosmological parameters with normalizing flows - Cyrille Doux (Laboratoire de Physique Subatomique et de Cosmologie)
12:30 Lunch on your own : see booklet infos for advice & suggestions
Lunch on your own : see booklet infos for advice & suggestions
12:30 - 14:00
Room: Buffon Amphitheater

14:00 Discussions around coffee & tea + poster discussions
Discussions around coffee & tea + poster discussions
14:00 - 14:30
Room: Buffon Amphitheater
14:30
14:30 - 15:50
Room: Buffon Amphitheater
Contributions

14:30 Keynote - Jean-Gabriel Ganascia (Sorbonne Université)

15:30 Goodness-of-fit Evaluation: Toward Trustworthy Probabilistic Machine Learning - Arya Farahi (University of Texas at Austin)
15:50 Coffee break
Coffee break
15:50 - 16:20
Room: Buffon Amphitheater
16:20 remote talks
remote talks
16:20 - 17:20
Room: Buffon Amphitheater
Contributions

16:20 Deblending Galaxies with Generative Adversarial Networks - Shoubaneh Hemmati (shemmati@caltech.edu)

16:40 Galaxies and Halos on Graph Neural Networks: Deep Generative Modeling Scalar and Vector Quantities for Intrinsic Alignment - Yesukhei Jagvaral

17:00 COSMOPOWER: Deep Learning - accelerated Bayesian inference from next-generation cosmological surveys - Alessio Spurio Mancini (University College London)
17:20 break
break
17:20 - 17:30
Room: Buffon Amphitheater
17:30 ML in the next decades
ML in the next decades
17:30 - 19:00
Room: Buffon Amphitheater
Contributions

17:30 ML in the next decades
vendredi 24 juin 2022

08:30 Discussions around coffee & tea
Discussions around coffee & tea
08:30 - 09:00
Room: Amphitheater 3B

09:00 Effective scan and while_loop in TF and JAX
Effective scan and while_loop in TF and JAX
09:00 - 10:30
Room: Amphitheater 3B

10:30 Coffee break
Coffee break
10:30 - 11:00
Room: Amphitheater 3B

11:00

11:00 - 12:00
Room: Amphitheater 3B

12:00 Getting lunch to go : see booklet infos for advice & suggestions
Getting lunch to go : see booklet infos for advice & suggestions
12:00 - 12:30

12:30 Breakout session over lunch
Breakout session over lunch
12:30 - 14:00
Room: Buffon Amphitheater