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

from Wednesday, April 20, 2022 (11:00 AM) to Friday, April 22, 2022 (6:10 PM)

Monday, April 18, 2022
Tuesday, April 19, 2022
Wednesday, April 20, 2022

12:30 PM

12:30 PM - 1:30 PM

1:30 PM Conference start
Conference start
1:30 PM - 2:00 PM

2:00 PM Ben Wandelt
Ben Wandelt
2:00 PM - 3:00 PM
3:30 PM Wednesday A
Wednesday A
3:30 PM - 4:15 PM
Contributions

3:30 PM Normalising Flows for data analysis of Laser Interferometer Space Antenna - Natalia Korsakova (APC)

3:45 PM Inferring Planetary Transits Parameters with Physics-constrained Deep Learning Models - Mario Morvan (University College London)

4:00 PM Simulation-based Inference for exoplanet characterization - Malavika Vasist (University of Liege)
4:15 PM Wednesday (shorter)
Wednesday (shorter)
4:15 PM - 4:30 PM
Contributions

4:15 PM Emulating 2-body decaying dark matter with neural networks - Jozef Bucko (Institute for Computational Science, University of Zurich)

4:22 PM Towards a Quasi-Universal Field-Level Cosmological Emulator - Neerav Kaushal (Michigan Technological University)
5:00 PM Francois Lanusse
Francois Lanusse
5:00 PM - 6:00 PM

6:00 PM (Drinks)
(Drinks)
6:00 PM - 7:30 PM
Thursday, April 21, 2022
10:00 AM Thursday A
Thursday A
10:00 AM - 11:00 AM
Contributions

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

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

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

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

11:30 AM Data-driven reconstruction of Gravitational Lenses using Recurrent Inference Machine II - Alexandre Adam (Université de Montréal)
11:40 AM Gilles Louppe
Gilles Louppe
11:40 AM - 12:40 PM
2:00 PM Thursday B
Thursday B
2:00 PM - 3:00 PM
Contributions

2:00 PM The Measurement of Galaxy Population properties with Forward-Modelling and Approximate Bayesian Computation - Luca Tortorelli (University Observatory, Ludwig-Maximilians Universitaet Muenchen)

2:15 PM Unbiased likelihood-free inference of the Hubble constant from light standard sirens - Francesca Gerardi (UCL)

2:30 PM Marginal likelihood-free cosmological parameter inference from type Ia supernovae - Konstantin Karchev (SISSA / GRAPPA)

2:45 PM Time delay cosmography with a neural ratio estimator - Ève Campeau-Poirier (Université de Montréal)
3:25 PM Thursday C
Thursday C
3:25 PM - 4:25 PM
Contributions

3:25 PM Accelerating Simulation-Based Inference with Differentiable Simulators. - Justine Zeghal (APC)

3:40 PM Sampling high-dimensional posterior with a simulation based prior - Benjamin Remy (CEA Paris-Saclay)

3:55 PM Truncated Marginal Neural Ratio Estimation with swyft - Benjamin Kurt Miller (University of Amsterdam)

4:10 PM Cosmological Applications of Truncated Marginal Neural Ratio Estimation - Alex Cole (University of Amsterdam)
4:45 PM
4:45 PM - 5:00 PM
Contributions

4:45 PM Hierarchical Probabilistic U-Net (HPU-Net) for generating high-dimensional posterior samples - Mohammad-Hadi Sotoudeh
5:00 PM

5:00 PM - 6:00 PM

7:25 PM Au Bistrot de la Montagne
Au Bistrot de la Montagne
7:25 PM - 9:25 PM
Friday, April 22, 2022
10:00 AM Friday A
Friday A
10:00 AM - 11:00 AM
Contributions

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

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

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

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

11:25 AM Lifting weak lensing degeneracies with field-based inference - Natalia Porqueres (Imperial College)
11:40 AM Daniela Huppenkothen
Daniela Huppenkothen
11:40 AM - 12:40 PM
2:00 PM
2:00 PM - 3:00 PM
Contributions

2:00 PM Interpreting non-Gaussian posterior distributions of cosmological parameters with normalizing flows - Cyrille Doux (Laboratoire de Physique Subatomique et de Cosmologie)

2:15 PM 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)

2:30 PM Simulation-based inference from the CMB - Roger de Belsunce (University of Cambridge)

2:45 PM Towards a Likelihood-Free Inference Analysis of KiDS-1000 Cosmic Shear - Kiyam Lin (UCL) Maximilian Von Wietersheim-Kramsta (UCL)

2:45 PM Towards a Likelihood-Free Inference Analysis of KiDS-1000 Cosmic Shear - Maximilian von Wietersheim-Kramsta (University College London) Kiyam Lin (UCL)
3:30 PM
3:30 PM - 4:30 PM
Contributions

3:30 PM Simulation-based inference of dark matter properties in strong gravitational lenses - Noemi Anau Montel

3:45 PM Information content on primordial non-Gaussianity from the non-linear dark matter field - Gabriel Jung (University of Padova)

4:00 PM Simulation-Based Inference in Strong Gravitational Lensing - Ronan Legin (Université de Montréal)

4:15 PM Scattering transform and generative models for LFI application - Erwan Allys (LPENS, Paris)
4:30 PM

4:30 PM - 4:50 PM

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