The full Cosmo21 programme will be provided soon!

NOTICE!  Cosmo21 will now start at 15:00 on the 22nd of May.

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 

Samaya Nissanke (Radboud University, the Netherlands), Gravitational waves

Confirmed Invited Speakers

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

Tzu-Ching Chang (JPL, USA), Intensity mapping survey

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

Tuesday 22/05/2018

Botanical Gardens


Session 1Machine Learning I
10:00 - 14:00REGISTRATIONAt the main venue

(Plaza Virgen de la Paz, 3, 46001 Valencia)
Jean-Luc Starck / Vicent Martinez / Alan HeavensWelcome 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:
17:05Jens Jasche
Large scale structures and Bayesian methodology
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:
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
10:20ChingangbamMinkowski Tensors as a new probe of cosmological fields
10:40Coffee Break

Session 4Radio and Intensity MappingChair:
11:10Tzu-Ching Chang
Line Intensity Mapping of Cosmic Structures
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
12:40Lunch Break

Session 5Machine Learning IIChair:
14:00Francois Lanusse
14:30Tom CharnockAutomatic physical inference
14:50Nicolas GilletDeep learning from 21-cm images of the Cosmic Dawn
15:10Emille IshidaOptimizing machine learning in astronomy: the case for SN classification
15:30Luisa Lucie-SmithMachine learning dark matter halo formation
15:50Coffee Break

Session 6Posters 
18:20End of Day 2

Thursday 24/05/2018

Main Venue


Session 7Weak Lensing IChair:
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:
11:10Elisabeth Krause
Dark Energy Survey, weak lensing and large scale structures
11:40Peter MelchiorPixel fusion: Modeling the sky with all available data
12:00Justin AlsingScalable likelihood-free inference for cosmology
12:20Silvia BonoliThe J-PAS survey: the sky in multi-color
12:40Lunch Break

Session 9Bayesian Methods IIChair:
14:00Michelle Lochner
14:30Daniel MortlockBayesian analysis of astronomical catalogues
14:50Jason McEwenMachine learning assisted Bayesian evidence computation
15:10Alessandra R. BrazzaleDiscovering and Locating High-Energy Extra-Galactic Sources by Bayesian Mixture Modelling
15:30Malak OlamaieBayesian Hierarchical Inference of Cosmic Shear
15:50Coffee Break

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

Friday 25/05/2018

Main Venue


Session 11Surveys and Statistics IIChair:
09:00Samaya Nissanke
09:40Nair RemyaMeasuring the Hubble constant: gravitational wave observations meet galaxy clustering
10:00Roland de PutterPrimordial Physics from Large-Scale Structure beyond the Power Spectrum
10:20Felipe MenanteauCosmology with The Dark Energy Survey DR1
10:40Coffee Break

Session 12Surveys and Statistics IIIChair:
11:10Stefano Camera
11:40Yan-Chuan CaiA search for missing baryons in the cosmic web
12:00Didier Fraix-BurnetUnsupervised Classification of Galaxy Spectra
12:20Maggie LieuHierarchical modelling of galaxy cluster masses

Session 13Weak Lensing IIChair:
12:40Morgan SchmitzData-driven PSF field recovery
13:00Andrew BradshawDeep & wide-field mass mapping of E- and B-modes
13:20End of Cosmo21