Institut d'Astrophysique de Paris

ML-IAP/CCA-2023: Debate #1 "Is there truth in latent space?"

Review: Deep learning algorithms for morphological classification of galaxies (H. Dominguez-Sanchez)

Do Giant Impacts Kickstart Rocky Planet Habitability?

Cosmic ray feedback and magnetic dynamos in galaxy formation

Machine-directed gravitational-wave counterpart discovery

« L'ÉCOLE (PUBLIQUE ET PRIVÉE) ET LA RÉPUBLIQUE »

Anomaly detection using local measures of uncertainty in latent representations

« FAUT-IL INTERDIRE LA RECHERCHE ? »

Generative Topographic Mapping for tomographic redshift estimates

Scientific Discovery from Ordered Information Decomposition

LA RÉVOLUTION DES EXOPLANÈTES

« LES PREMIERS RÉSULTATS DU TÉLESCOPE SPATIAL EUCLID »

« L’ÉGLISE ET LES LUMIÈRES FACE À LA MORTALITÉ DES ENFANTS : LE MOMENT DE CONDORCET »

« LES ÉTOILES PRIMITIVES, TRACES FOSSILES DES ORIGINES DE NOTRE VOIE LACTÉE »

Dark matter searches: status and prospects

« D'AUTRES MONDES DANS LE COSMOS ? »

« NOUS SOMMES DES POUSSIÈRES D'ÉTOILES »

Dissecting core-collapse supernovae using neutrinos

L’Institut d’astrophysique de Paris vous souhaite une excellente année 2024 !

The vigorous growth of early galaxies

« ÉNERGIE NOIRE ET INTELLIGENCE ARTIFICIELLE »

« LE LASER ULTRA INTENSE ET SES APPLICATIONS EN ASTROPHYSIQUE ET COSMOLOGIE »

From X-rays to gamma-rays: recent developments on supernova remnants physics

« LES AMAS DE GALAXIES COMME SONDES COSMOLOGIQUES ET LABORATOIRES ASTROPHYSIQUES »

Search for gravitational waves with pulsar timing array

« LA VIE AILLEURS ? »

Machine Learning Powered Inference in Cosmology

CNNs reveal crucial degeneracies in strong lensing subhalo detection

Assessing and Benchmarking the Fidelity of Posterior Inference Methods for Astrophysics Data An ...

Likelihood-free Forward Modeling for Cluster Weak Lensing and Cosmology

Doing More With Less; Label-Efficient Learning for Euclid and Rubin

Extending the Reach of Gaia DR3 with Self-Supervision

Data-driven galaxy morphology at z higher than 3 with contrastive learning and cosmological si ...

Who threw that rock? Tracing the path of martian meteorites back to the crater of origin using ML

ML-IAP/CCA-2023: Debate #2 "What can machine-learning do for the next generation surveys?"

Review: Symbolic regression (Miles Cranmer)

HySBI - Hybrid Simulation-Based Inference

Explaining dark matter halo abundance with interpretable deep learning

Emulating the Universe: overcoming computational roadblocks with Gaussian processes

CNNs reveal crucial degeneracies in strong lensing subhalo detection

Efficient and fast deep learning approaches to denoise large radioastronomy line cubes ​and to ...

Optimizing Galaxy Sample Selections for Weak Lensing Cluster Cosmology

ML-IAP/CCA-2023: Debate #1 "Is there truth in latent space?"

Investigations for LSST with Machine Learning: Photometric redshift predictions, strong lens de ...

Active galactic nuclei at very high energies - observations and emission models

Concluding remarks of the ML-IAP2021 conference

Deconstructing the galaxy merger sequence with machine vision

Current progress and challenges from the Cosmology and Astrophysics with MachinE Learning Simul ...

Debating the Benefits of Differentiable Cosmological Simulators for Weak Lensing Full-Field In ...

Review - Machine Learning and Bayesian inference (Jens Jasche)

Finding Observable Environmental Measures of Halo Properties using Neural Networks