ML-IAP/CCA-2023

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A Bayesian Neural Network based ILC method to estimate accurate CMB polarization power spectrum over large angular scales (in session "Contributed talks")

A neural-network emulator for the Lyman-$\alpha$ flux power spectrum (in session "Contributed talks")

A Reanalysis of BOSS Galaxy Clustering Data with a Simulation-Based Emulator of the Wavelet Scattering Transform (in session "Contributed talks")

Anomaly detection using local measures of uncertainty in latent representations (in session "Contributed talks")

Assessing and Benchmarking the Fidelity of Posterior Inference Methods for Astrophysics Data Analysis (in session "Contributed talks")

Before real data: pressing graph neural networks to do field-level simulation-based inference with galaxies (in session "Contributed talks")

Capitalizing on Artificial Intelligence for LSS Cosmology (in session "Review presentations")

Capitalizing on Artificial Intelligence for LSS Cosmology (replay) (in session "Review presentations")

Causal graphical models for galaxy surveys (in session "Contributed talks")

ChatGaia (in session "Contributed talks")

CNNs reveal crucial degeneracies in strong lensing subhalo detection (in session "Contributed talks")

Concluding remarks (in session "Debates")

Convolutional Neural Networks for Exoplanet Detection in Photometric Light Curves From Massive Data Surveys (in session "Contributed talks")

Cosmological constraints from HSC survey first-year data using deep learning (in session "Contributed talks")

Cosmology with Galaxy Photometry Alone (in session "Contributed talks")

Current progress and challenges from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project (in session "Contributed talks")

Data Compression and Inference in Cosmology with Self-Supervised Machine Learning (in session "Contributed talks")

Data-driven galaxy morphology at $z>3$ with contrastive learning and cosmological simulations (in session "Contributed talks")

DE-VAE: a representation learning architecture for a dynamic dark energy model (in session "Contributed talks")

Dealing with systematic effects: the issue of robustness to model misspecification (in session "Contributed talks")

Debating the Benefits of Differentiable Cosmological Simulators for Weak Lensing Full-Field Inference (LSST Y10 case study) (in session "Contributed talks")

Deconstructing the galaxy merger sequence with machine vision (in session "Contributed talks")

Deep learning algorithms for morphological classification of galaxies (in session "Review presentations")

Deep Learning Generative Models to Infer Mass Density Maps from SZ, X-ray and Galaxy Members Observations in Galaxy Clusters (in session "Contributed talks")

DeepSZSim: Fast Simulations of the Thermal Sunyaev–Zel’dovich Effect in Galaxy Clusters for Simulation-based Inference (in session "Contributed talks")

Doing More With Less; Label-Efficient Learning for Euclid and Rubin (in session "Contributed talks")

Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets (in session "Contributed talks")

Efficient and fast deep learning approaches to denoise large radioastronomy line cubes ​and to emulate sophisticated astrophysical models (in session "Contributed talks")

EFTofLSS meets simulation-based inference: $\sigma_8$ from biased tracers (in session "Contributed talks")

Embedding Neural Networks in ODEs to Learn Linear Cosmological Physics (in session "Contributed talks")

Emulating the Universe: overcoming computational roadblocks with Gaussian processes (in session "Contributed talks")

Explaining dark matter halo abundance with interpretable deep learning (in session "Contributed talks")

Extending the Reach of Gaia DR3 with Self-Supervision (in session "Contributed talks")

Extracting physical rules from ensemble machine learning for the selection of radio AGN. (in session "Contributed talks")

Fast realistic, differentiable, mock halo generation for wide-field galaxy surveys (in session "Contributed talks")

Field-level Emulator within Bayesian Origin Reconstruction from Galaxies (BORG) (in session "Contributed talks")

Field-level inference of primordial non-Gaussianity, using next-generation galaxy surveys (in session "Contributed talks")

Field-Level Inference with Microcanonical Langevin Monte Carlo (in session "Contributed talks")

Finding Observable Environmental Measures of Halo Properties using Neural Networks (in session "Contributed talks")

Fishnets: Mapping Information Geometry with Robust, Scalable Neural Compression (in session "Contributed talks")

Galaxy modeling with physical forward models and generative neural networks (in session "Contributed talks")

Generative models to assist sampling (in session "Review presentations")

Generative models to assist sampling (in session "Review presentations")

Generative Topographic Mapping for tomographic redshift estimates (in session "Contributed talks")

Harnessing Differentiable and Probabilistic Programming for Scalable and Robust Statistical Analysis of Astronomical Surveys (in session "Contributed talks")

HySBI - Hybrid Simulation-Based Inference (in session "Contributed talks")

Investigations for LSST with Machine Learning: Photometric redshift predictions, strong lens detection and mass modeling (in session "Contributed talks")

Latent space out-of-distribution detection of galaxies for deblending in weak lensing surveys (in session "Contributed talks")

Likelihood-free Forward Modeling for Cluster Weak Lensing and Cosmology (in session "Contributed talks")

Machine learning as a key component in the science processing pipelines of space- and ground-based surveys? (in session "Contributed talks")

Machine learning cosmology from void properties (in session "Contributed talks")

Machine learning for new physics (in session "Contributed talks")

Machine Learning Powered Inference in Cosmology (in session "Contributed talks")

Machine-directed gravitational-wave counterpart discovery (in session "Contributed talks")

Modeling galaxy orientations on the SO(3) manifold with score-based generative models (in session "Contributed talks")

Multiview Symbolic Regression in astronomy (in session "Contributed talks")

Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids (in session "Contributed talks")

Opportunities and challenges of machine learning for astrophysics (in session "Contributed talks")

Optimizing Galaxy Sample Selections for Weak Lensing Cluster Cosmology (in session "Contributed talks")

Perturbation theory emulator for cosmological analysis (in session "Contributed talks")

Prioritising Follow-up for Transient Surveys in the New Era of Time-Domain Astronomy (in session "Contributed talks")

Probing primordial non-Gaussianity by reconstructing the initial conditions with convolutional neural networks (in session "Contributed talks")

Reconstruction of cosmological initial conditions with sequential simulation-based inference (in session "Contributed talks")

Reionisation time fields reconstruction from 21 cm signal maps (in session "Contributed talks")

Sampling with Hamiltonian Neural Networks (in session "Contributed talks")

SBI meets reality: simulation-based inference in practical cosmology applications (in session "Contributed talks")

Scientific Discovery from Ordered Information Decomposition (in session "Contributed talks")

Selection functions of strong lens finding neural networks (in session "Contributed talks")

Significance Mode Analysis (SigMA) for hierarchical structures (in session "Contributed talks")

Simulation-based inference with non Gaussian statistics in the Dark Energy Survey (in session "Contributed talks")

SNAD: enabling discovery in the era of big data (in session "Contributed talks")

Spatially Variant Point Spread Functions for Bayesian Imaging (in session "Contributed talks")

Subhalo effective density slope measurements from HST strong lensing data with neural likelihood-ratio estimation (in session "Contributed talks")

TBD: Deep learning and numerical simulations (in session "Review presentations")

TBD: Deep learning and numerical simulations (Replay) (in session "Review presentations")

TBD: Domain adaptation (in session "Review presentations")

TBD: Domain adaptation (Replay) (in session "Review presentations")

TBD: ML and Bayesian inference in cosmology (in session "Review presentations")

TBD: ML and Bayesian inference in cosmology (Replay) (in session "Review presentations")

TBD: Symbolic regression (in session "Review presentations")

TBD: Symbolic regression (Replay) (in session "Review presentations")

TBD: Symmetries in deep learning (in session "Review presentations")

TBD: Symmetries in deep learning (Replay) (in session "Review presentations")

The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues (in session "Contributed talks")

The terms Eisenstein and Hu missed (in session "Contributed talks")

TheLastMetric: ML for statistically rigorous observing strategy optimization (in session "Contributed talks")

Toward automated discovery of analytical physical laws from data using deep reinforcement learning (in session "Contributed talks")

Towards an Astronomical Foundation Model for Stars with a Transformer-based Model (in session "Contributed talks")

Vision Transformers for Cosmological Inference from Weak Lensing (in session "Contributed talks")

Who threw that rock? Tracing the path of martian meteorites back to the crater of origin using ML (in session "Contributed talks")

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11/27/23

11/28/23

11/29/23

11/30/23

12/1/23

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