Name: COSMO21
Start: 2024-05-20T09:00:00+03:00
End: 2024-05-24T14:00:00+03:00
Location: Chania, Crete

Monday, May 20
- Radio Cosmology: Chair Elena Sellentin
  - 1
    
    Registration
  - 2
    
    Introduction by Alan Heavens, George Tzagkarakis and Jean-Luc Starck
  - 3
    
    Cosmology with the SKA Observatory
    
    Speaker: Marta Spinelli
    
    COSMO21_Spinelli_200524.pdf
  - 10:45 AM
    
    Short break
  - 4
    
    Synergies between radio intensity mapping and optical galaxy surveys
    
    Speaker: Alkistis Pourtsidou
    
    Chania-2024-Alkistis-Pourtsidou.pdf
  - 5
    
    Machine Learning for recovering the EoR 21-cm signal power spectrum at z~9.1 from LOFAR data
    
    Speaker: Anshuman Acharya
    
    cosmo21_AnshumanA.pdf
  - 6
    
    Learning Reionization History with Quasar IGM Damping Wings
    
    Speaker: Timo Kist
    
    Kist.pdf
  - 7
    
    Using gradient descent-like methods to reconstruct the matter density field during reionization
    
    Speaker: Sabrina Berger
- Bayesian Methodology: Chair Marta Spinelli
  - 8
    
    Our Universe in Simulation
    
    Speaker: Jia Liu
    
    COSMO21_May2024_JiaLiu.pdf
  - 9
    
    Towards robust Bayesian inference using physics informed priors from cosmological simulations
    
    Speaker: Ludvig Doeser
    
    Doeser_20240520_Cosmo2021.pdf
- 4:05 PM
  
  Coffee break
- 10
  
  Poster Session
- Gravitational Waves: Chair Alan Heavens
  - 11
    
    Gravitational-wave cosmology: current results and statistical challenges ahead
    
    Speaker: Simone Mastrogiovanni
    
    Mastrogiovanni_chania_2024.pdf
- 12
  
  Cocktail
Tuesday, May 21
- Weak Lensing IV: I: Chair Jia Liu
  - 13
    
    Higher Order Statistics vs. Deep learning for lensing cosmology
    
    Speaker: Bhuvnesh Jain
    
    Chania-2024-BuneshJain-Shortened.pdf
  - 14
    
    Cosmic shear analysis of KiDS and DES with higher-order statistics
    
    Speaker: Joachim Harnois-Deraps
    
    JoachimHarnois-Deraops.pdf
  - 15
    
    Baryons and non-Gaussian statistics in weak lensing cosmology
    
    Speaker: Daniela Grandon Silva
    
    Grandon_Cosmo12chania.pdf
- 10:25 AM
  
  Coffee Break
- Weak Lensing IV: II: Chair Justin Alsing
  - 16
    
    Dark Energy Survey Year 3 results: likelihood-free, simulation-based wCDM inference with neural compression of weak-lensing map statistics
    
    Speaker: Niall Jeffrey
    
    Cosmo21-Chania24_NialJeffrey.pdf
  - 17
    
    Simulation based inference with contrastive learning and persistent homology
    
    Speaker: Judit Prat
    
    Chania_JuditPrat.pdf
  - 18
    
    KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear
    
    Speaker: Maximilian von Wietersheim-Kramsta
    
    von Wietersheim-Kramsta, M - KiDS-SBI - COSMO21 Chania.pdf
  - 19
    
    Lossless Neural Compression for Weak Lensing Implicit Inference
    
    Speaker: T. Lucas Makinen
    
    MAKINEN_cosmo21_24.pdf
- Artificial Intelligence I: Chair Georgios Tzagkarakis
  - 20
    
    Good Data Analysis Practices for AI
    
    Speaker: Annalisa Pawlosky
    
    ML_QML Astronomy_public.pdf
  - 21
    
    Scientific machine learning in cosmology
    
    Speaker: Jason McEwen
    
    JasaonMcEwen_Scientific AI in Cosmology.pdf
  - 22
    
    Don't trust neural networks? Me neither, but here's how I use them anyway
    
    Speaker: Florent Leclercq
    
    2024-05-21_COSMO21_Chania_FlorentLeclerc.pdf
- 4:25 PM
  
  Break
- Artificial Intelligence II: Chair Sam Farrens
  - 23
    
    Neural Networks as Classifiers of Cosmological Models
    
    Speaker: Lisa Goh
    
    COSMO21_LISA_GOH.pdf
  - 24
    
    Exhaustive Symbolic Regression: Learning Astrophysics directly from Data
    
    Speaker: Harry Desmond
    
    Chania_slides_HarrtDesmond.pdf
  - 25
    
    One Model to Handle Them All: A versatile framework for galaxy vision tasks by Implanting Human-in-the-loop upon a Large Vision Model
    
    Speaker: Nan Li
    
    galaxy_structures_in_the_big_data_era_cosmo21@Greece_nanli20240521.pdf
Wednesday, May 22
- Galaxies & Redshifts: Chair Vassilis Charmandaris
  - 26
    
    A comprehensive picture of the galaxy population with simulation-based inference
    
    Speaker: Justin Alsing
    
    JustinAlsing_pop-cosmos.pdf
  - 27
    
    Machine Learning Pipeline for speeding up SED fitting with Radiative Transfer Models
    
    Speaker: Klea Panayidou
    
    Cosmo21_KPanayidou.pdf
  - 28
    
    A Comparative Analysis of Regression Methods for Spectroscopic Redshift Estimation
    
    Speaker: Greg Tsagkatakis
    
    COSMO21_Greg_Tsagkatakis.pdf
- 10:25 AM
  
  Coffee break
- Field Level Inference: Chair Susmita Adhikari
  - 29
    
    Field-level inferences of galaxy clustering
    
    Speaker: Eleni Tsaprazi
    
    EleniTsapraziCosmo21_presentation.pdf
  - 30
    
    Almanac: Generic Field Level Inference for Full-Sky Cosmological Fields and Angular Power Spectra
    
    Speaker: Arthur Loureiro
    
    ArthurLoureiro_Cosmo21_Almanac_BHMs [Auto-saved].pdf
  - 31
    
    Weak lensing field -level inference with KaRMMa
    
    Speaker: Supranta Sarma Boruah
    
    Supranta_COSMO21_Chania.pdf
  - 32
    
    Extracting optimal and robust information from cosmological surveys with field-level inference and joint analyses
    
    Speaker: Adrian Bayer
    
    AdrianBayer-24.05.22-Chania.pdf
- Weak Lensing III: Chair Arthur Loureiro
  - 33
    
    How to quantify textures and random fields in cosmology?
    
    Speaker: Sihao Cheng
    
    ST_COSMO21.pdf
  - 34
    
    Mass-Mapping with Conditional Generative Adversarial Networks
    
    Speaker: Jessica Whitney
    
    JessWhitney_cosmo21.pdf
- 4:25 PM
  
  Coffee break
- Bayesian Methodology: : Chair Jason Mc Ewen
  - 35
    
    Scalable Bayesian uncertainty quantification with learned convex regularisers
    
    Speaker: Tobias Liaudat
    
    liaudat-cosmo21_slides.pdf
  - 36
    
    GPU-accelerated Hierarchical Bayesian Inference of Intrinsic and Extrinsic Properties of Type Ia Supernovae
    
    Speaker: Matthew Grayling
    
    MattGraylingCOSMO21Talk.pdf
  - 37
    
    Learned harmonic mean with normalizing flows for Bayesian model comparison in cosmology
    
    Speaker: Alicia Polanska
    
    APolenska_cosmo21.pdf
- 38
  
  Conference Diner
Thursday, May 23
- Machine Learning II: Chair Klea Panayidou
  - 39
    
    Explainable deep learning models for cosmological structure formation
    
    Speaker: Luisa Lucie-Smith
    
    LuisaLucie-Smith_Chania2024.pdf
  - 40
    
    CAMELS-SAM: untangling the galaxy-halo connection with machine learning in observational space
    
    Speaker: Lucia Perez
    
    LuciaAPerez_Cosmo21Chania2024.pdf
  - 41
    
    Unveiling the connections between halos and galaxies with Machine Learning
    
    Speaker: Raul Abramo
    
    Abramo - Halo-galaxy connection with machine learning.pdf
- 10:55 AM
  
  Coffee break
- Machine Learning II: Chair Natalia Porqueres
  - 42
    
    Using graph neural networks to detect dark matter in stellar streams
    
    Speaker: Keir Rogers
    
    streams_COSMO21_K_Rogers.pdf
  - 43
    
    A representation learning approach to probe for dynamical dark energy in matter power spectra
    
    Speaker: Davide Piras
    
    Chania_Piras_Davide.pdf
  - 44
    
    Unsupervised Searches for Parity-Violation
    
    Speaker: Matt Craigie
- Cosmic Fields: Chair Frederic Courbin
  - 45
    
    Cosmic fields beyond 2pt: practical challenges opportunities
    
    Speaker: Chihway Chang
    
    Chania_20240523_ ChihwayChang.pdf
  - 46
    
    Theoretical wavelet l1-norm from one-point PDF prediction
    
    Speaker: Vilasini Tinnaneri Sreekanth
    
    COSMO21_Vilasini_Tinnaneri.pdf
  - 47
    
    An exact likelihood for the weak lensing correlation function
    
    Speaker: Veronika Oehl
    
    cosmo21_VeronikaOehl.pdf
- 4:25 PM
  
  Coffee Break
- Weak Lensing IV: Chair Chihway Chang
  - 48
    
    The interplay between analysis choices in cosmic shear
    
    Speaker: Naomi Robertson
  - 49
    
    DeepLensing Flow: Score based and flow models for weak lensing statistics
    
    Speaker: Joaquin Armijo
    
    Jarmijo_DeepLensingFlow_Chania.pdf
  - 50
    
    Mitigating 3x2pt Systematics: Augmented Photo-z Training Samples and Optimal Tomographic Binning
    
    Speaker: Irene Moskowitz
    
    Irene_Moskovitch_mitigating_3x2_systematics_cosmo21.pdf
Friday, May 24
- Cosmology: Chair Yanxia Zhang
  - 51
    
    The strong lensing contribution to the H0 tension
    
    Speaker: Frederic Courbin
    
    Courbin_Cosmo21_May2024.pdf
  - 52
    
    Abundance of Primordial Black Holes from a Bayesian inference analysis between quasar microlensing observations and simulated magnification maps
    
    Speaker: Ana Esteban Gutiérrez
    
    AnaEstebanGutierrez_PBHs_Chania 2024_share.pdf
  - 53
    
    Understanding the distribution of dark matter in halos from cluster to dwarf scales
    
    Speaker: Susmita Adhikari
    
    SusmitaAdhikari_Cosmo21.pdf
- 10:25 AM
  
  Coffee Break
- Cosmology: II
  - 54
    
    MLPatch: Learned local patch-based models for high-dimensional cosmological inverse problems
    
    Speaker: Amir Ehsan Khorashadizadeh
    
    AmirEhsanMLPatch.pdf
  - 55
    
    Joint Multi-channel Deconvolution for Euclid and LSST Images
    
    Speaker: Utsav Akhaury
    
    UtsavAkhaury_Cosmo21.pdf
  - 56
    
    Pseudaria: Map-Level Inference of Unknown Systematics in Galaxy Number Counts
    
    Speaker: André Zamorano Vitorelli
- 57
  
  Panel Discussion: Moderator Elena Sellentin
  
  Sellentin-Cosmo21Debate.pdf
- 58
  
  Conclusions
  
  COSMO21_closing.pdf

COSMO21

Arsenal

Chania, Crete