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Multimodal PreTraining for Scientific Data - Berkeley, Oct 24
Presentation at the BLASS 2024 meeting in Berkeley, CA
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Multimodal PreTraining for Scientific Data - Paris, Oct 24
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Multimodal PreTraining for Scientific Data - Oct 24
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Towards Multidisciplinary Scientific Foundation Models
Overview talk of the Polymathic AI Initiative
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Intro to Self Supervised Representation Learning for Astrophysics
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Multimodal PreTraining for Scientific Data
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Towards Self Supervised Representation Learning
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AI4Phys
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Towards Foundation Models for Science
Overview talk of the Polymathic AI Initiative
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AstroCLIP
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NuitAstro
Comment les machines apprennent-elles l'Univers ?
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Introduction to Probabilistic Learning in JAX
Probabilistic Learning lecture at Kavli IPMU, April 2023
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DAp GPU Day
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jax-hpc
A little overview of how to use JAX for High Performance Computing on GPU clusters
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Deep Probabilistic Learning
Probabilistic Learning lecture at Advanced Euclid School, June 2022
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Deep Probabilistic Learning
Probabilistic Learning lecture
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L'intelligence Artificielle a la Decouverte du Cosmos
Astro cafe a Seolane, 8 Decembre 2021
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Deep Probabilistic Learning
Probabilistic Learning lecture at Astroinfo 2021
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jax-cosmo
Introduction to JAX and the jax-cosmo library
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Commentary on Stella Offner's talk
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IDRIS Hackathon Intro
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Deep Probabilistic Learning
MML - Cours 11, April 9th 2021
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Introduction to Generative Modeling
Slides for ANF Machine Learning
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The DESC Tomo Challenge
An introduction to the challenge
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A quick tour of Neural Networks for Time Series
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Introducing the Differentiable Universe Initiative
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Deep Probabilistic Learning
ML Club session of Thursday November 7th 2019
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Anomaly Detection meetsDeep Learning
Session of the BIDS ML & Stats forum on anomaly detection
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Bayesian Neural Networks
Session on modeling uncertainties with neural networks, for the Berkeley Statistics and Machine Learning Forum
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Introduction to Machine Learning
Bayesian Data Analysis And Machine Learning for Physical Sciences
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Recurrent Inferrence Machines
Session on RIMs for the Berkeley Statistics and Machine Learning Forum
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Introduction to Deep Probabilistic Learning
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Data-driven galaxy morphology models
Presentation for Blending Task Force meeting, Jan. 7 2019
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Optimization
Practical statistics series
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Looking for dark matter at the bottom of a wine glass
Astronomy on Tap presentation, April 26 2018