Year

2015 (1)  2018 (11)  2019 (30)  2020 (29)  2021 (46)  2022 (26)  2023 (24)  2024 (8) 

Talks groupped by year

2024
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)
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)
2023
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)
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)
2022
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)
2021
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
2020
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)
2019
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)
2018
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)
2015
New methods in the analysis of galaxy distance catalogues
Guilhem Lavaux, LSS conference, ESO, Garching, Germany, 2015-07-21 (slides)