Name: Likelihood-free in Paris
Start: 2022-04-20T11:00:00+02:00
End: 2022-04-22T18:10:00+02:00
Location: École Normale Supérieure, Paris

Likelihood-free in Paris

de mercredi 20 avril 2022 (11:00) à vendredi 22 avril 2022 (18:10)

lundi 18 avril 2022
mardi 19 avril 2022
mercredi 20 avril 2022

12:30

12:30 - 13:30

13:30 Conference start
Conference start
13:30 - 14:00

14:00 Ben Wandelt
Ben Wandelt
14:00 - 15:00
15:30 Wednesday A
Wednesday A
15:30 - 16:15
Contributions

15:30 Normalising Flows for data analysis of Laser Interferometer Space Antenna - Natalia Korsakova (APC)

15:45 Inferring Planetary Transits Parameters with Physics-constrained Deep Learning Models - Mario Morvan (University College London)

16:00 Simulation-based Inference for exoplanet characterization - Malavika Vasist (University of Liege)
16:15 Wednesday (shorter)
Wednesday (shorter)
16:15 - 16:30
Contributions

16:15 Emulating 2-body decaying dark matter with neural networks - Jozef Bucko (Institute for Computational Science, University of Zurich)

16:22 Towards a Quasi-Universal Field-Level Cosmological Emulator - Neerav Kaushal (Michigan Technological University)
17:00 Francois Lanusse
Francois Lanusse
17:00 - 18:00

18:00 (Drinks)
(Drinks)
18:00 - 19:30
jeudi 21 avril 2022
10:00 Thursday A
Thursday A
10:00 - 11:00
Contributions

10:00 Nested Sampling and Likelihood-Free Inference - Will Handley (University Of Cambridge)

10:15 Compromise-Free Likelihood-Free Inference - Pablo Lemos (UCL)

10:30 Bayesian Neural Networks with Nested Sampling - David Yallup (University of Cambridge)

10:45 HARMONIC: Bayesian model comparison for simulation-based inference - Alessio Spurio Mancini (University College London)
11:25
11:25 - 11:42
Contributions

11:30 Data-driven reconstruction of Gravitational Lenses using Recurrent Inference Machine II - Alexandre Adam (Université de Montréal)
11:40 Gilles Louppe
Gilles Louppe
11:40 - 12:40
14:00 Thursday B
Thursday B
14:00 - 15:00
Contributions

14:00 The Measurement of Galaxy Population properties with Forward-Modelling and Approximate Bayesian Computation - Luca Tortorelli (University Observatory, Ludwig-Maximilians Universitaet Muenchen)

14:15 Unbiased likelihood-free inference of the Hubble constant from light standard sirens - Francesca Gerardi (UCL)

14:30 Marginal likelihood-free cosmological parameter inference from type Ia supernovae - Konstantin Karchev (SISSA / GRAPPA)

14:45 Time delay cosmography with a neural ratio estimator - Ève Campeau-Poirier (Université de Montréal)
15:25 Thursday C
Thursday C
15:25 - 16:25
Contributions

15:25 Accelerating Simulation-Based Inference with Differentiable Simulators. - Justine Zeghal (APC)

15:40 Sampling high-dimensional posterior with a simulation based prior - Benjamin Remy (CEA Paris-Saclay)

15:55 Truncated Marginal Neural Ratio Estimation with swyft - Benjamin Kurt Miller (University of Amsterdam)

16:10 Cosmological Applications of Truncated Marginal Neural Ratio Estimation - Alex Cole (University of Amsterdam)
16:45
16:45 - 17:00
Contributions

16:45 Hierarchical Probabilistic U-Net (HPU-Net) for generating high-dimensional posterior samples - Mohammad-Hadi Sotoudeh
17:00

17:00 - 18:00

19:25 Au Bistrot de la Montagne
Au Bistrot de la Montagne
19:25 - 21:25
vendredi 22 avril 2022
10:00 Friday A
Friday A
10:00 - 11:00
Contributions

10:00 GLASS: A General Likelihood Approximate Solution Scheme - Steven Gratton (Kavli Institute for Cosmology Cambridge)

10:15 Towards universal simulation-based inference with TMNRE - Christoph Weniger (GRAPPA)

10:30 Measuring individal dark matter halos in strong lenses with truncated marginal neural ratio estimation - Adam Coogan (Université de Montréal and Mila)

10:52 Using Neural Ratio Estimation and Probabilistic Image Segmentation to detect Dark Matter Subhalos - Elias Dubbeldam (GRAPPA institute (University of Amsterdam))
11:25
11:25 - 11:40
Contributions

11:25 Lifting weak lensing degeneracies with field-based inference - Natalia Porqueres (Imperial College)
11:40 Daniela Huppenkothen
Daniela Huppenkothen
11:40 - 12:40
14:00
14:00 - 15:00
Contributions

14:00 Interpreting non-Gaussian posterior distributions of cosmological parameters with normalizing flows - Cyrille Doux (Laboratoire de Physique Subatomique et de Cosmologie)

14:15 The Essence of the Cosmos: how much cosmological information is trapped in large-scale structure, and can it be extracted ? - Lucas Makinen (Imperial College London)

14:30 Simulation-based inference from the CMB - Roger de Belsunce (University of Cambridge)

14:45 Towards a Likelihood-Free Inference Analysis of KiDS-1000 Cosmic Shear - Kiyam Lin (UCL) Maximilian Von Wietersheim-Kramsta (UCL)

14:45 Towards a Likelihood-Free Inference Analysis of KiDS-1000 Cosmic Shear - Maximilian von Wietersheim-Kramsta (University College London) Kiyam Lin (UCL)
15:30
15:30 - 16:30
Contributions

15:30 Simulation-based inference of dark matter properties in strong gravitational lenses - Noemi Anau Montel

15:45 Information content on primordial non-Gaussianity from the non-linear dark matter field - Gabriel Jung (University of Padova)

16:00 Simulation-Based Inference in Strong Gravitational Lensing - Ronan Legin (Université de Montréal)

16:15 Scattering transform and generative models for LFI application - Erwan Allys (LPENS, Paris)
16:30

16:30 - 16:50

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