Confirmed Keynote Speakers

Jo Dunkley (Princeton, USA),  Cosmic Microwave Background 

Jens Jasche  (TUM, Germany),  Large scale structures and Bayesian methodology

Stephanne Mallat (ENS, France),  Deep learning theory

Rachel Mandelbaum (Carnegie Mellon University , USA), Weak lensing 

Confirmed Invited Speakers

Stefano Camera (Università degli Studi di Torino, Italy), Radio survey 

Licia Verde (ICC, Spain), Systematics

Francois Lanusse (CMU, USA), Sparsity and machine learning in astrophysics

Michelle Lochner (AIMS, South Africa), Bayesian methodology in astrophysics

Elisabeth Krause (Stanford, USA), Dark Energy Survey, weak lensing and large scale structures

Peter Melchior (Princeton, USA), high-precision image analysis and statistical inference

Tuesday 22/05/2018

Botanical Gardens


Session 1Machine Learning I
Chair: Jean-Luc Starck
10:00 - 14:00REGISTRATIONAt the main venue

(Plaza Virgen de la Paz, 3, 46001 Valencia)
Vicent Martinez & Elena SellentinWelcome at the Botanical Gardens

(Calle Quart, 80, 46008, Valencia)
Stephane Mallat
Multiscale Cosmological Data Analysis with Deep Convolutional Networks
Shirley HoJoint Analysis of CMB and Large Scale Structure with Deep Learning
Nina HernitschekMachine-Learning Strategies for Variable Source Classification
Coffee Break

Session 2Bayesian Methods IChair: Licia Verde
17:05Jens Jasche
Deciphering the dynamical Universe via non-linear Bayesian inference
Guilhem LavauxNon-linear bayesian inference of cosmic fields in SDSS3 and 2M++
18:05Ethan RobertsUnified Bayesian Anomaly Detection and Classification
18:25Roberto TrottaSNIa Cosmology with Bayesian Hierarchical Models
18:45Rafael S. de SouzaA hierarchical Bayesian framework to probe the Big-Bang nucleosynthesis
19:05Cocktail ReceptionAt the Botanical Gardens
21:00End of Day 1

Wednesday 23/05/2018

Main Venue


Session 3CMB and the Statistics of FieldsChair: Emille Ishida
08:30REGISTRATIONAt the main venue
09:00Jo Dunkley
Extracting cosmology from high resolution CMB data
09:40Julien CarronBayesian inference of primordial gravitational waves amplitude from CMB data
10:00Elena SellentinThe skewed weak lensing likelihood -- why biases arise despite data and theory being sound
10:20Marta SpinelliPolarized foreground emission at EoR frequencies
10:40Coffee Break

Session 4Radio and Intensity MappingChair: Veronique Delouille
11:10Licia Verde
Brainstorming session: synergies between methodological approaches
11:40Xiaohao CaiEfficient uncertainty quantification for radio interferometric imaging
12:00Carolin HöferThe Canadian Hydrogen Intensity Mapping Experiment
12:20Andrei MesingerThe 21-cm Big Data revolution
12:40Victoria CalafutCluster Mislocation in kinematic Sunyaev-Zel’dovich (kSZ) Effect Extraction
13:00Lunch Break

Session 5Machine Learning IIChair: Pablo Arnalte-Mur
14:20Francois Lanusse
Sparsity and Deep Learning for modern surveys
14:50Tom CharnockAutomatic physical inference
15:10Nicolas GilletDeep learning from 21-cm images of the Cosmic Dawn
15:20Emille IshidaOptimizing machine learning in astronomy: the case for SN classification
15:50Morgan SchmitzData-driven PSF field recovery
16:10Coffee Break

Session 6Posters 
18:30End of Day 2
18:30Historical Walking TourFrom the main venu

Thursday 24/05/2018

Main Venue


Session 7Weak Lensing IChair: Jo Dunkley
09:00Rachel Mandelbaum
Statistical challenges for weak lensing cosmology
09:40Martin KilbingerSidestepping the inversion of the covariance matrix: Likelihood-free constraints for weak lensing
10:00Austin PeelDistinguishing modified gravity from general relativity using higher-order weak-lensing statistics
10:20Niall JeffreyImproved Peak Statistics and Weak Lensing Map Reconstructions with DES
10:40Coffee Break

Session 8Surveys and Statistics IChair: Valeria Pettorino
11:10Peter Melchior
Pixel fusion: Modeling the sky with all available data
11:40Justin AlsingScalable likelihood-free inference for cosmology
12:00Silvia BonoliThe J-PAS survey: the sky in multi-color
12:20Paula TarrioA matched filter approach for blind joint detection of galaxy clusters in X-ray and SZ surveys
12:40Lunch Break

Session 9Bayesian Methods IIChair: Alan Heavens
14:20Michelle Lochner
Next Generation Radio Astronomy with Bayesian Techniques
14:50Lluís Hurtado-GilGibbs models estimation of galaxy point processes with the ABC Shadow algorithm
15:10Jason McEwenMachine learning assisted Bayesian evidence computationa
15:30Alessandra R. BrazzaleDiscovering and Locating High-Energy Extra-Galactic Sources by Bayesian Mixture Modelling
15:50Malak OlamaieBayesian Hierarchical Inference of Cosmic Shear
16:10Coffee Break

Session 10Machine Learning IIIChair: Samuel Farrens
16:40Chieh-An LinPhotometric redshifts by machine learning: Don't underestimate your bias and error
17:00Marcel SchmittfullExtracting linear information from nonlinear large-scale structure observations
17:20Nao SuzukiFrom 25 Trillion Pixels to Precision Cosmology
17:40Alexsandra SolarzSearch for unusual objects in WISE survey
18:00Jesus Torrado CachoMachine-learning sampling for very slow likelihoods
18:20Alexandre BoucaudRAMP: a platform for collaborative data science challenges
18:40End of Day 3
21:00Conference DinnerAt the Ayre Hotel Astoria Palace, Plaza de Rodrigo Botet 5

Friday 25/05/2018

Main Venue

Session 11Surveys and Statistics IIChair: Stefano Camera
09:15Remya NairMeasuring the Hubble constant: gravitational wave observations meet galaxy clustering
09:35Roland de PutterPrimordial Physics from Large-Scale Structure beyond the Power Spectrum
09:55Felipe MenanteauCosmology with The Dark Energy Survey DR1
10:15Jo DunkleyClimate and diversity in our field
10:45Coffee Break

Session 12Surveys and Statistics IIIChair: Vicent Martinez
11:10Stefano Camera
Cosmology with radio surveys
11:40Didier Fraix-BurnetUnsupervised Classification of Galaxy Spectra
12:00Maggie LieuHierarchical modelling of galaxy cluster masses
12:20Andrew BradshawDeep & wide-field mass mapping of E- and B-modes
12:40Licia VerdeClosing Remarks
13:00End of Cosmo21