Towards Self Supervised Representation Learning

AI4Phys

Towards Foundation Models for Science

Overview talk of the Polymathic AI Initiative

AstroCLIP

NuitAstro

Comment les machines apprennent-elles l'Univers ?

Introduction to Probabilistic Learning in JAX

Probabilistic Learning lecture at Kavli IPMU, April 2023

DAp GPU Day

jax-hpc

A little overview of how to use JAX for High Performance Computing on GPU clusters

Deep Probabilistic Learning

Probabilistic Learning lecture at Advanced Euclid School, June 2022

Deep Probabilistic Learning

Probabilistic Learning lecture

L'intelligence Artificielle a la Decouverte du Cosmos

Astro cafe a Seolane, 8 Decembre 2021

Deep Probabilistic Learning

Probabilistic Learning lecture at Astroinfo 2021

jax-cosmo

Introduction to JAX and the jax-cosmo library

Commentary on Stella Offner's talk

IDRIS Hackathon Intro

Deep Probabilistic Learning

MML - Cours 11, April 9th 2021

Introduction to Generative Modeling

Slides for ANF Machine Learning

The DESC Tomo Challenge

An introduction to the challenge

A quick tour of Neural Networks for Time Series

Introducing the Differentiable Universe Initiative

Deep Probabilistic Learning

ML Club session of Thursday November 7th 2019

Anomaly Detection meetsDeep Learning

Session of the BIDS ML & Stats forum on anomaly detection

Bayesian Neural Networks

Session on modeling uncertainties with neural networks, for the Berkeley Statistics and Machine Learning Forum

Introduction to Machine Learning

Bayesian Data Analysis And Machine Learning for Physical Sciences

Recurrent Inferrence Machines

Session on RIMs for the Berkeley Statistics and Machine Learning Forum

Introduction to Deep Probabilistic Learning

Data-driven galaxy morphology models

Presentation for Blending Task Force meeting, Jan. 7 2019

Optimization

Practical statistics series

Looking for dark matter at the bottom of a wine glass

Astronomy on Tap presentation, April 26 2018