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COSMO21

May 20 – 24, 2024
Chania, Crete
Europe/Athens timezone

Contribution List

58 / 58
63. Registration
5/20/24, 9:00 AM
54. Introduction by Alan Heavens, George Tzagkarakis and Jean-Luc Starck
5/20/24, 9:45 AM
1. Cosmology with the SKA Observatory
Marta Spinelli
5/20/24, 10:00 AM
11. Synergies between radio intensity mapping and optical galaxy surveys
Alkistis Pourtsidou
5/20/24, 10:55 AM
12. Machine Learning for recovering the EoR 21-cm signal power spectrum at z~9.1 from LOFAR data
Anshuman Acharya
5/20/24, 11:15 AM
14. Learning Reionization History with Quasar IGM Damping Wings
Timo Kist
5/20/24, 11:35 AM
13. Using gradient descent-like methods to reconstruct the matter density field during reionization
Sabrina Berger
5/20/24, 11:55 AM
27. Our Universe in Simulation
Jia Liu
5/20/24, 3:00 PM
32. Towards robust Bayesian inference using physics informed priors from cosmological simulations
Ludvig Doeser
5/20/24, 3:45 PM
3. Poster Session
5/20/24, 4:25 PM
4. Gravitational-wave cosmology: current results and statistical challenges ahead
Simone Mastrogiovanni
5/20/24, 5:55 PM
65. Cocktail
5/20/24, 8:00 PM
2. Higher Order Statistics vs. Deep learning for lensing cosmology
Bhuvnesh Jain
5/21/24, 9:00 AM
20. Cosmic shear analysis of KiDS and DES with higher-order statistics
Joachim Harnois-Deraps
5/21/24, 9:45 AM
18. Baryons and non-Gaussian statistics in weak lensing cosmology
Daniela Grandon Silva
5/21/24, 10:05 AM
16. Dark Energy Survey Year 3 results: likelihood-free, simulation-based wCDM inference with neural compression of weak-lensing map statistics
Niall Jeffrey
5/21/24, 10:55 AM
15. Simulation based inference with contrastive learning and persistent homology
Judit Prat
5/21/24, 11:15 AM
31. KiDS-SBI: Simulation-Based Inference Analysis of KiDS-1000 Cosmic Shear
Maximilian von Wietersheim-Kramsta
5/21/24, 11:35 AM
34. Lossless Neural Compression for Weak Lensing Implicit Inference
T. Lucas Makinen
5/21/24, 11:55 AM
5. Good Data Analysis Practices for AI
Annalisa Pawlosky
5/21/24, 3:00 PM
23. Scientific machine learning in cosmology
Jason McEwen
5/21/24, 3:45 PM
21. Don't trust neural networks? Me neither, but here's how I use them anyway
Florent Leclercq
5/21/24, 4:05 PM
24. Neural Networks as Classifiers of Cosmological Models
Lisa Goh
5/21/24, 4:55 PM
22. Exhaustive Symbolic Regression: Learning Astrophysics directly from Data
Harry Desmond
5/21/24, 5:15 PM
38. One Model to Handle Them All: A versatile framework for galaxy vision tasks by Implanting Human-in-the-loop upon a Large Vision Model
Nan Li
5/21/24, 5:35 PM
10. A comprehensive picture of the galaxy population with simulation-based inference
Justin Alsing
5/22/24, 9:00 AM
37. Machine Learning Pipeline for speeding up SED fitting with Radiative Transfer Models
Klea Panayidou
5/22/24, 9:45 AM
48. A Comparative Analysis of Regression Methods for Spectroscopic Redshift Estimation
Greg Tsagkatakis
5/22/24, 10:05 AM
28. Field-level inferences of galaxy clustering
Eleni Tsaprazi
5/22/24, 10:55 AM
29. Almanac: Generic Field Level Inference for Full-Sky Cosmological Fields and Angular Power Spectra
Arthur Loureiro
5/22/24, 11:15 AM
30. Weak lensing field -level inference with KaRMMa
Supranta Sarma Boruah
5/22/24, 11:35 AM
36. Extracting optimal and robust information from cosmological surveys with field-level inference and joint analyses
Adrian Bayer
5/22/24, 11:55 AM
9. How to quantify textures and random fields in cosmology?
Sihao Cheng
5/22/24, 3:00 PM
40. Mass-Mapping with Conditional Generative Adversarial Networks
Jessica Whitney
5/22/24, 3:45 PM
49. Scalable Bayesian uncertainty quantification with learned convex regularisers
Tobias Liaudat
5/22/24, 4:55 PM
52. GPU-accelerated Hierarchical Bayesian Inference of Intrinsic and Extrinsic Properties of Type Ia Supernovae
Matthew Grayling
5/22/24, 5:15 PM
25. Learned harmonic mean with normalizing flows for Bayesian model comparison in cosmology
Alicia Polanska
5/22/24, 5:35 PM
64. Conference Diner
5/22/24, 8:00 PM
7. Explainable deep learning models for cosmological structure formation
Luisa Lucie-Smith
5/23/24, 9:30 AM
39. CAMELS-SAM: untangling the galaxy-halo connection with machine learning in observational space
Lucia Perez
5/23/24, 10:15 AM
50. Unveiling the connections between halos and galaxies with Machine Learning
Raul Abramo
5/23/24, 10:35 AM
51. Using graph neural networks to detect dark matter in stellar streams
Keir Rogers
5/23/24, 11:25 AM
58. A representation learning approach to probe for dynamical dark energy in matter power spectra
Davide Piras
5/23/24, 11:45 AM
47. Unsupervised Searches for Parity-Violation
Matt Craigie
5/23/24, 12:05 PM
8. Cosmic fields beyond 2pt: practical challenges opportunities
Chihway Chang
5/23/24, 3:00 PM
19. Theoretical wavelet l1-norm from one-point PDF prediction
Vilasini Tinnaneri Sreekanth
5/23/24, 3:45 PM
17. An exact likelihood for the weak lensing correlation function
Veronika Oehl
5/23/24, 4:05 PM
42. The interplay between analysis choices in cosmic shear
Naomi Robertson
5/23/24, 4:55 PM
43. DeepLensing Flow: Score based and flow models for weak lensing statistics
Joaquin Armijo
5/23/24, 5:15 PM
44. Mitigating 3x2pt Systematics: Augmented Photo-z Training Samples and Optimal Tomographic Binning
Irene Moskowitz
5/23/24, 5:35 PM
46. The strong lensing contribution to the H0 tension
Frederic Courbin
5/24/24, 9:00 AM
56. Abundance of Primordial Black Holes from a Bayesian inference analysis between quasar microlensing observations and simulated magnification maps
Ana Esteban Gutiérrez
5/24/24, 9:45 AM
59. Understanding the distribution of dark matter in halos from cluster to dwarf scales
Susmita Adhikari
5/24/24, 10:05 AM
35. MLPatch: Learned local patch-based models for high-dimensional cosmological inverse problems
Amir Ehsan Khorashadizadeh
5/24/24, 10:55 AM
67. Joint Multi-channel Deconvolution for Euclid and LSST Images
Utsav Akhaury
5/24/24, 11:15 AM
33. Pseudaria: Map-Level Inference of Unknown Systematics in Galaxy Number Counts
André Zamorano Vitorelli
5/24/24, 11:35 AM
66. Panel Discussion: Moderator Elena Sellentin
5/24/24, 11:55 AM
62. Conclusions
5/24/24, 12:35 PM

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