Bayesian Inference of Initial Conditions from Non- Linear Cosmic Structures using Field-Level Emulators
Ludvig Doeser, USM Galaxies and Lensing virtual seminar, Munich, Germany, 2024-05-03 (slides)

Hopes and challenges in information science for cosmology
Florent Leclercq, Seminar at the Centre de Recherche Astrophysique de Lyon (CRAL), Lyon, France, 2024-05-03 (slides)

Machine learning boosted cosmological inference
Guilhem Lavaux, Seminar, University of Helsinki, Helsinki, Finland, 2024-02-23 (slides)

Field-level inference of primordial physics with next-generation galaxy surveys
Adam Johansson Andrews, Rome, UniVersum, 2024-02-21 (slides)

Implicit Likelihood Inference while efficiently checking for survey systematics
Florent Leclercq, Euclid Galaxy Clustering Science Working Group meeting, Laboratoire d'Astrophysique de Marseille, France, 2024-02-01 (slides)

Constraining primordial non gaussianities with field level inference
Guilhem Lavaux, Euclid Galaxy Clustering Science Working Group meeting, Laboratoire d'Astrophysique de Marseille, France, 2024-02-01

Additional probes and alternative techniques for galaxy clustering
Florent Leclercq, Euclid Galaxy Clustering Science Working Group meeting, Laboratoire d'Astrophysique de Marseille, France, 2024-01-31 (slides)

Implicit likelihood inference in cosmology while checking for survey systematics.
Tristan Hoellinger, Euclid-France Symposium, Lyon, France, 2024-01-25 (slides)

Additional probes and alternative techniques for galaxy clustering
Florent Leclercq, Symposium Euclid France 2024, Institut de Physique des Deux Infinis, Lyon, France, 2024-01-25 (slides)

Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators
Ludvig Doeser, Virtual Seminar, Imperial College London, UK, 2024-01-23 (slides)

Implicit likelihood inference from galaxy survey data with robustness to model misspecification
Florent Leclercq, Simulation based inference in Astrophysics, Royal Astronomical Society Specialist Discussion Meeting, London, UK, 2024-01-12 (slides)

Physics-informed inferences of galaxy clustering
Eleni Tsaprazi, Institut d'Astrophysique de Paris, Paris, France, 2023-12-07 (slides)

Dealing with systematic effects: the issue of robustness to model misspecification
Florent Leclercq, Debating the potential of machine learning in astronomical surveys #2 conference, Institut d'Astrophysique de Paris, Paris, France, 2023-11-28 (slides)

Field Level Inference of Voids and Galaxy Clusters
Guilhem Lavaux, Action Dark Energy 2023, Annecy, France, 2023-11-07 (slides)

Implicit likelihood inference in cosmology while checking for survey systematics
Tristan Hoellinger, Action Dark Energy 2023, Annecy, France, 2023-11-06 (slides)

Towards Velocity Field Reconstructions with BORG
Deaglan Bartlett, Euclid Additional GC Probes, 2023-11-02 (slides)

Physics-informed inferences of galaxy clustering
Eleni Tsaprazi, LCDM meeting, The London Institute of Cosmology, The Royal Astronomical Society, Burlington House, London, United Kingdom, 2023-10-12 (slides)

Inferring the 3D initial conditions of the Universe
Jens Jasche, LtU meeting, New York, USA, 2023-09-14

Astro pizza lunch talk
Simon Ding, Columbia university, New York, USA, 2023-09-05 (slides)

Field Level Inference of Voids and Galaxy Clusters
Stephen Stopyra, Cosmology from the Home 2023 (online), 2023-07-06 (slides)

Fast realistic, differentiable, mock halo generation for wide-field galaxy surveys
Simon Ding, New Strategies for Extracting Cosmology from Future Galaxy Surveys, Sexten, Italy, 2023-07-04 (slides)

Fast realistic, differentiable, mock halo generation for wide-field galaxy surveys
Simon Ding, Euclid meeting 2023, Copenhagen, Danemark, 2023-06-22 (slides)

Field Level Inference and forward modeling with Euclid data: preparing for data
Guilhem Lavaux, Euclid meeting 2023, Copenhagen, Danemark, 2023-06-21

Simulation-based inference pipelines for Euclid data
Florent Leclercq, Euclid Consortium meeting 2023, Copenhagen, Danemark, 2023-06-21 (slides)

Likelihood-free large-scale structure inference with robustness to model misspecification
Florent Leclercq, Cosmology & Gravitation seminar, Oskar Klein Centre, Stockholm University, Stockholm, Sweden, 2023-06-15 (slides)

Studying Early Dark Energy Models in a Bayesian framework
Luz Angela Garcia, Monday Science Seminar Series@UW-Madison, 2023-06-05 (slides)

Testing Fundamental Physics with Gamma Ray Bursts
Deaglan Bartlett, Webinaires de l'Action Dark Energy, France, 2023-05-17 (slides)

Fast realistic, differentiable, mock halo generation for wide-field galaxy surveys
Simon Ding, Future cosmology summer school, Cargèse, France, 2023-04-28 (slides)

EFT likelihood consistency tests at the field level
Andrija Kostic, LSST Dark Energy Science Collaboration, Stanford, US -- online, 2023-04-05 (slides)

Cosmological initial conditions from field-level inference analysis of galaxy surveys
Guilhem Lavaux, Department of Theoretical Physics, University of Geneva, Geneva, Switzerland, 2023-03-31 (slides)

Field-level inferences of intrinsic alignment
Eleni Tsaprazi, Lorentz Center, Leiden, The Netherlands, 2023-03-13 (slides)

Oxford BIPAC Journal Club
Eleni Tsaprazi, Oxford BIPAC Journal Club, 2023-02-17 (slides)

LSST DESC Photometric Redshifts Working Group
Eleni Tsaprazi, LSST DESC Photometric Redshifts Working Group, 2023-02-02 (slides)

High-order statistics of photometric galaxy clustering
Eleni Tsaprazi, Euclid Additional GC Probes Telecon, 2023-02-02 (slides)

Exploring the universe through the BORG framework and the Sibelius-Dark simulation
Guilhem Lavaux, GDR CoPhy, Paris, France, 2023-01-18 (slides)

Hopes and challenges in data science for cosmology
Florent Leclercq, ASNUM2022 : Journées de l'Action Spécifique Numérique de l'INSU, Lyon, France, 2022-12-15 (slides)

Progress on field-level inference of initial conditions with lensing and galaxy clustering
Guilhem Lavaux, Euclid France 11, Paris, France, 2022-11-30 (slides)

Forward modelling the large-scale structure: field-level and implicit likelihood inference
Florent Leclercq, Rubin LSST France meeting, Laboratoire de physique nucléaire et de hautes énergies, Paris, France, 2022-11-29 (slides)

SELFI enhanced: robustness to model misspecification and Euclid forecast
Florent Leclercq, Euclid France Theory and Likelihood workshop, Institut d'Astrophysique de Paris, Paris, France, 2022-11-28 (slides)

Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
Florent Leclercq, Colloque national action Dark Energy 2022, Marseille, France, 2022-11-17 (slides)

Observational Inference with Machine Learning: Investigations in Galaxy Cluster Mass Estimation
Matthew Ho, Institut d'Astrophysique de Paris Universe Seminar, Paris, France, 2022-11-15 (slides)

Constraining Dark Matter Properties with Large Scale Structure
Deaglan Bartlett, ICAP, Institut d'Astrophysique de Paris, France, 2022-11-03 (slides)

Hopes and challenges in information science for cosmology
Florent Leclercq, IAP Colloquium, Paris, France, 2022-10-21 (slides)

Fundamental physics without cosmic variance: exploring the universe through the BORG framework and the Sibelius-Dark simulation
Guilhem Lavaux, Seminar TTK, Aachen, Germany, 2022-10-14 (slides)

High-performance computing and high-performance data analysis in cosmology
Florent Leclercq, Maison de la Simulation, CEA, Saclay, France, 2022-07-06 (slides)

Constraining Dark Matter Properties with Large Scale Structure
Deaglan Bartlett, Astro@Home, University of Oxford, 2022-06-16 (slides)

Fundamental physics without cosmic variance: exploring the universe through the BORG framework and the Sibelius-Dark simulation
Guilhem Lavaux, Laboratoire LLR, Polytechnique, France, 2022-06-13 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Cosmology Seminar, Oxford, UK, 2022-06-07

Field-level analyses of galaxy surveys
Eleni Tsaprazi, Advances in Cosmology through Numerical Simulations, MIAPbP, Munich, 2022-06-01 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Advances in cosmology through numerical simulations workshop, MIAPBP, Germany, 2022-05-18

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Cosmology seminar, USM, Germany, 2022-05-04

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Cosmology seminar, MPA, Germany, 2022-05-03

Agenda for Forward Modelling science in Euclid
Guilhem Lavaux, Euclid Consortium Meeting 2022, Oslo, Norway, 2022-04-28 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Likelihood-free inference in Paris conference, France, 2022-04-22

The cosmic essence: how much information is trapped in large-scale structure?
Lucas Makinen, Likelihood-free inference in Paris conference, France, 2022-04-22 (slides)

Implicit Likelihood inference in astrophysics
Benjamin D. Wandelt, Likelihood-free inference in Paris conference, France, 2022-04-20 (slides)

Presentation on BORG methodology
Guilhem Lavaux, Learning the Universe meeting, 2022-04-14 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Weak Lensing beyond 2 point Workshop, Kyoto (remote), Japan, 2022-04-11

Bayesian inference of intrinsic alignment in the large-scale structure
Eleni Tsaprazi, Euclid Collaboration, Machine Learning for Cosmological Simulations, 2022-04-05 (slides)

Cluster and Void Abundance as a Probe of the Non-linear Universe
Stephen Stopyra, Cosmic Cartography 2022, online, 2022-03-10 (slides)

Cosmological constraints from cosmic flows based on distance data
Guilhem Lavaux, Action Dark Energy, 2022-01-11 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Euclid UK Annual Meeting, 2021-12-16

Bayesian cosmic flows inference
Guilhem Lavaux, Euclid SIMWG-ML WP, 2021-12-07 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Euclid Weak Lensing WP, 2021-11-11

The Sibelius-Dark simulation
Guilhem Lavaux, ANR MMUniverse meeting #2, 2021-10-28 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Newcastle University, UK, 2021-10-25

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Journal Club Universe, IAP, Paris, France, 2021-10-12

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, Euclid GC-AP WP, 2021-10-07

Tracing the cosmic web with supernovae
Eleni Tsaprazi, University of Cambridge, Cosmology Journal Club, 2021-10-05 (slides)

BORG for cosmology: the Bayesian problem, statistical and numerical challenges, early results and solutions
Guilhem Lavaux, On Future Synergies for Stochastic and Learning Algorithms, Marseilles, France, 2021-09-27 (slides)

Lifting weak lensing degeneracies with a field-based likelihood
Natalia Porqueres, COSMOCLASSIC, 2021-09-23

Applications of galaxy clustering modeling at field level: kinematic SZ effect & galaxy Intrinsic Alignment
Minh Nguyen, COSMO'21 Conference, University of Illinois (virtual), 2021-08-03 (slides)

Cosmology with Bayesian hierarchical models of cosmic shear data
Natalia Porqueres, Cosmology from home conference, 2021-07-13

Bayesian Forward modeling of cosmic structures in galaxy surveys
Jens Jasche, Seminar of Lyon Group Meeting, IPNL, Lyon, France, 2021-06-22 (slides)

Bayesian analyses of galaxy surveys
Florent Leclercq, Queen Mary University of London, London, UK, 2021-06-09 (slides)

Bayesian inference of large scale structure surveys assisted by Deep learning emulators
Guilhem Lavaux, Atelier PNCG, Journées 2021 de la SF2A, Paris, France, 2021-06-09 (slides)

Local cosmolo(graph)y with forward modelling
Guilhem Lavaux, Seminar of Lyon Group Meeting, IPNL, Lyon, France, 2021-06-08 (slides)

Precision cosmology with Bayesian forward modelling of galaxy surveys
Doogesh Kodi Ramanah, SF2A Journées 2021, 2021-06-08 (slides)

From pixels to cosmology: a forward modeling approach
Minh Nguyen, VLLT Joint Seminar Series on Physics and Astronomy, Saigon, Vietnam, 2021-06-04

Cross-correlation likelihood for Bayesian density & cosmological inference
Guilhem Lavaux, Cambridge Journal Club, Cambridge, UK, 2021-05-18 (slides)

Bayesian Forward modeling of cosmic structures in galaxy surveys
Jens Jasche, NYU-CCA Cosmology x Data Science, New York, USA, 2021-03-12 (slides)

Cosmological inferences from forward modeling the galaxy data at the field-level: are we there yet?
Minh Nguyen, NYU-CCA Cosmology x Data Science, New York, 2021-03-05 (slides)

Cosmological inference from field-level, forward modeling of galaxy clustering
Minh Nguyen, MPE, Garching, 2021-03-01 (slides)

Cosmological inference from field-level, forward modeling of galaxy clustering
Minh Nguyen, Oskar Klein Centre, Stockholm, 2021-02-25 (slides)

Bayesian forward modelling of cosmic shear data
Natalia Porqueres, Euclid Forward Model WP, 2021-02-16

Cosmological inferences with field-level, forward modeling: Impacts of the physical data model
Minh Nguyen, ORIGINS Excellence Cluster, Garching, 2021-02-16

Measurements of the kinetic Sunyaev Zel'dovich effect without bias from velocity reconstruction: a forward modeling approach
Minh Nguyen, IAS, Princeton, 2021-01-25

Bayesian forward modelling of cosmic shear data
Natalia Porqueres, Leiden University, 2021-01-15

The BORG framework
Guilhem Lavaux, Euclid WP "Galaxy Environment", 2021-01-11

Less biased and more optimal inferences from kinematic Sunyaev-Zel’dovich measurements - a forward model approach
Minh Nguyen, Universe Journal Club, IAP, Paris, 2020-12-15

Bayesian forward modelling of cosmic shear data
Natalia Porqueres, Euclid UK Annual Meeting, 2020-12-14

Inference of mass of clusters of galaxies with BORG
Guilhem Lavaux, Workshop "Amas France", 2020-12-10 (slides)

Towards robust and unbiased cosmological inferences with forward modeling: Impacts of the physical data model
Minh Nguyen, Cosmology seminar, Max Planck Institute for Astrophysics, Garching, 2020-12-08 (slides)

Bayesian forward modelling of cosmic shear
Natalia Porqueres, University of Arizona, USA, 2020-12-08

Bayesian forward modelling of cosmic shear data
Natalia Porqueres, Euclid Weak Lensing WP, 2020-12-07

Towards unbiased and optimal inferences from kinematic Sunyaev-Zel’dovich measurements
Minh Nguyen, Perimeter Institute, Waterloo, 2020-12-03

Towards unbiased and optimal inferences from kinematic Sunyaev-Zel’dovich measurements
Minh Nguyen, University of Manchester, Manchester, 2020-12-03 (slides)

Bayesian cosmological analysis with full forward modeling of galaxy data-sets
Guilhem Lavaux, DTP-TIFR, Mumbai, India, 2020-11-17 (slides)

Forward modelling the large-scale structure: perfectly parallel simulations and simulation-based inference
Florent Leclercq, Colloque Action Dark Energy, France, 2020-10-12 (slides)

Cosmic dynamics: voids and flows
Guilhem Lavaux, Sharif University, Tehran, Iran, 2020-09-14 (slides)

A field-based approach to inference from Ly-alpha forest data
Natalia Porqueres, Cosmology talks, University of Auckland, 2020-07-01

Kinematic Sunyaev-Zel’dovich measurement using Bayesian forward reconstruction of peculiar velocity field
Minh Nguyen, MPA Institute Seminar, MPA Garching, 2020-05-25 (slides)

Inferring the dynamics of cosmic structures from the Lyman-alpha forest
Natalia Porqueres, Cosmology seminar, Queen Mary University, London, 2020-05-20

Galaxy Clustering with Likelihood-Free Inference (GCLFI project): Prospects and Forecasts for Euclid
Florent Leclercq, Euclid Galaxy Clustering Science Working Group, 2020-04-20 (slides)

Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
Florent Leclercq, Journal-club "Univers", Institut d'Astrophysique de Paris, Paris, France, 2020-04-07 (slides)

Perfectly parallel cosmological simulations using spatial comoving Lagrangian acceleration
Florent Leclercq, Institute for Advanced Study/Princeton University Joint Astrophysics Colloquium, Princeton, New Jersey, USA, 2020-04-06 (slides)

Inferring the dynamics of cosmic structures at high-redshift
Natalia Porqueres, Laboratoire Lagrange - Observatoire de la Côte d’Azur, Nice, France, 2020-02-25

Inferring the dynamics of cosmic structures at high-redshift from the Ly-alpha forest
Natalia Porqueres, Cosmology seminar, University College of London (UCL), London, UK, 2020-02-19

Machine learning for cosmology and astronomy
Thomas Charnock, GReCO seminar, Institut d'Astrophysique de Paris, Paris, France, 2020-02-07 (slides)

Simulator Expansion for Likelihood-Free Inference, Prospects for Euclid
Florent Leclercq, Euclid joint meeting: WL + GC + CG SWG + OU-LE3, Institut d'Astrophysique de Paris, Paris, France, 2020-02-04 (slides)

Inferring the dynamics of cosmic structures at high-redshift from the Ly-alpha forest
Natalia Porqueres, The Cosmic Web in the Local Universe, Lorentz Center, 2020-01-29

Facing the details of galaxy observations for cosmic web reconstruction and analysis
Guilhem Lavaux, The Cosmic Web in the Local Universe, Lorentz Center, 2020-01-29 (slides)

A Bayesian physical forward modeling approach for studying cosmic structures in galaxy surveys
Jens Jasche, The Cosmic Web in the Local Universe, Lorentz Center, Leiden, The Netherlands, 2020-01-29 (slides)

The multi-stream local Universe
Florent Leclercq, The Cosmic Web in the Local Universe, Lorentz Center, 2020-01-28 (slides)

Neural networks: How they work and their future in science
Thomas Charnock, SISSA, Trieste, Italy, 2020-01-22 (slides)

Parameter inference using neural networks
Thomas Charnock, CosmoGold, IAP, Paris, 2020-01-17 (slides)

Primordial power spectrum and cosmology from black-box galaxy surveys, Prospects for Euclid
Florent Leclercq, CoSyne: Cosmological Synergies in the upcoming decade, IAP, France, 2019-12-11 (slides)

Bayesian Forward Modeling of Cosmological Datasets
Jens Jasche, CoSyne: Cosmological Synergies in the upcoming decade, IAP, Paris, France, 2019-12-11 (slides)

Modern machine learning methods for trustworthy science
Thomas Charnock, Ringberg castle, Germany, 2019-12-09 (slides)

Inferring the dynamics of cosmic structures at high-redshift from the Ly-alpha forest
Natalia Porqueres, London Cosmology Discussion Meeting (LCDM), Royal Astronomical Society, London, UK, 2019-12-05

Parameter inference using neural networks
Thomas Charnock, DAMTP, University of Cambridge, Cambridge, UK, 2019-12-02 (slides)

Inferring the dynamics of cosmic structures at high-redshift
Natalia Porqueres, Cosmology Seminar, Universitat de Barcelona - ICCUB, Barcelona, Spain, 2019-11-21

Bayesian methods for performing inference using neural networks
Thomas Charnock, Département d'Informatique, École normale supérieure, Paris, France , 2019-11-20 (slides)

Precision cosmology with Bayesian forward modelling of galaxy surveys
Doogesh Kodi Ramanah, Cake Talk, DARK, Niels Bohr Institute, Copenhagen, Denmark, 2019-11-13 (slides)

Parameter inference using neural networks
Thomas Charnock, Scuola Normale Superiore, Pisa, Italy, 2019-11-12 (slides)

Bayesian analyses of galaxy surveys
Florent Leclercq, DAMTP, University of Cambridge, UK, 2019-11-11 (slides)

New Approaches to Galaxy Clustering
Fabian Schmidt, Imperial College London, UK, 2019-10-23 (slides)

Inferring the dynamics of cosmic structures at high-redshift
Natalia Porqueres, Imperial College, London, UK, 2019-10-16

Neural physical engines for inferring the halo mass distribution function
Thomas Charnock, APC seminar, Paris, France, 2019-10-09 (slides)

Bayesian inference with black-box cosmological models
Florent Leclercq, Approximate Bayesian Computation and novel Bayesian approaches in cosmostatistics, Clermont-Ferrand, France, 2019-09-20 (slides)

A systematic-free Bayesian analysis of SDSS3/BOSS and its correlation with CMB lensing
Guilhem Lavaux, KICC 10th anniversary symposium, Cambridge, UK, 2019-09-16 (slides)

A systematic-free Bayesian analysis of SDSS3/BOSS and its correlation with CMB lensing
Guilhem Lavaux, Journal Club Univers, IAP, France, 2019-09-15 (slides)

Bayesian statistical inference and deep learning for primordial cosmology and cosmic acceleration
Doogesh Kodi Ramanah, PhD defence, Institut d'Astrophysique de Paris, Paris, France, 2019-09-10 (slides)

Likelihood-free inference from galaxy surveys, Prospects for Euclid
Florent Leclercq, CosmoGold, IAP, Paris, 2019-06-27 (slides)

Fast complex dynamics emulators for cosmological inference
Doogesh Kodi Ramanah, CEA CosmoStat Seminar, Saclay, France, 2019-06-20 (slides)

Generative Models in Cosmological Data Analysis
Guilhem Lavaux, GRC String theory & Cosmology, Castelldefels, 2019-06-17 (slides)

Cosmic web analysis and information theory
Florent Leclercq, Royal Observatory Edinburgh, 2019-06-17 (slides)

Density reconstruction via Bayesian large-scale structure inference
Florent Leclercq, Euclid Consortium meeting 2019, Helsinki, 2019-06-05 (slides)

Bayesian inference with black-box cosmological models
Florent Leclercq, Machine Learning in Astronomy, Lancaster University, 2019-05-30 (slides)

Building the ultimate Bayesian machine to interpret cosmological datasets
Guilhem Lavaux, Department of Physics, University of Oxford, 2019-05-07 (slides)

Bayesian analyses of galaxy surveys
Florent Leclercq, IRAP, Toulouse, 2019-05-02 (slides)

Building fast complex dynamics emulators for Bayesian Hierarchical Modeling
Guilhem Lavaux, Stockholm University, 2019-03-29 (slides)

Novel uses of machine learning: Predicting probabilities and trusting outputs
Thomas Charnock, Observatoire de Paris, Paris, France, 2019-03-29 (slides)

Information maximising neural networks for dimensionality reduction
Thomas Charnock, CCA Flatiron, New-York, USA, 2019-03-18 (slides)

Density reconstruction via Bayesian large-scale structure inference
Florent Leclercq, Euclid UK meeting 2018, University of Oxford, 2018-12-17 (slides)

Non-linear bayesian inference of cosmic fields in SDSS3 and 2M++ and their application to Nearby cosmology
Guilhem Lavaux, SDSS4 eBOSS meeting in Paris, 2018-12-11 (slides)

Cosmic Dynamics
Guilhem Lavaux, Habilitation à diriger des recherches, IAP, Paris, France, 2018-11-12 (slides)

Bayesian data interpretation with large scale cosmological models
Jens Jasche, IHP Analytics, inference, and Computation in Cosmology, Paris, France, 2018-10-25 (slides)

Machine learning based (likelihood-free) statistical inference
Thomas Charnock, IHP, Paris, France, 2018-10-25 (slides)

Bayesian optimisation for likelihood-free cosmological inference
Florent Leclercq, IHP Analytics, inference, and Computation in Cosmology, Paris, France, 2018-10-22 (slides)

Bayesian reconstruction of the cosmic DM flow
Florian Führer, IHP, Paris, France, 2018-10-22 (slides)

Precision cosmology with cosmic expansion
Doogesh Kodi Ramanah, Cosmology Journal Club, Oxford, UK, 2018-10-12 (slides)

The Aquila Consortium: Building the ultimate Bayesian machine to interpret cosmological dataset
Guilhem Lavaux, IHP Analytics, inference, and Computation in Cosmology, Paris, France, 2018-10-01 (slides)

Cosmic web analysis and Information Theory
Florent Leclercq, The Information Universe symposium, Groningen, The Netherlands, 2018-07-06 (slides)

Automatic physical inference with information maximising neural networks
Thomas Charnock, Valencia, Spain, 2018-05-22 (slides)

New methods in the analysis of galaxy distance catalogues
Guilhem Lavaux, LSS conference, ESO, Garching, Germany, 2015-07-21 (slides)