
Multimodal PreTraining for Scientific Data  Berkeley, Oct 24
Presentation at the BLASS 2024 meeting in Berkeley, CA

Multimodal PreTraining for Scientific Data  Paris, Oct 24

Multimodal PreTraining for Scientific Data  Oct 24

Towards Multidisciplinary Scientific Foundation Models
Overview talk of the Polymathic AI Initiative

Intro to Self Supervised Representation Learning for Astrophysics

Multimodal PreTraining for Scientific Data

Towards Self Supervised Representation Learning

AI4Phys

Towards Foundation Models for Science
Overview talk of the Polymathic AI Initiative

AstroCLIP

NuitAstro
Comment les machines apprennentelles l'Univers ?

Introduction to Probabilistic Learning in JAX
Probabilistic Learning lecture at Kavli IPMU, April 2023

DAp GPU Day

jaxhpc
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

jaxcosmo
Introduction to JAX and the jaxcosmo 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

Datadriven galaxy morphology models
Presentation for Blending Task Force meeting, Jan. 7 2019

Optimization
Practical statistics series

LookingÂ for dark matter at the bottom of a wine glass
Astronomy on Tap presentation, April 26 2018