18
Feb
Munich AI Lectures • 18.02.2025 • Senatssaal, Geschwister-Scholl-Platz 1, Ludwig-Maximilians-Universität München
5:00 pm - 6:30 pm
Unveiling the Cosmos: Deep Learning Solutions to Inverse Problems in Astrophysics
Prof. Dr. Jean-Luc Starck, CEA-Saclay, France
Join us for the next Munich AI Lectures featuring Prof. Dr. Jean-Luc Starck from the CosmoStat Laboratory, CEA CEA-Saclay, France. Prof. Starck will present “Unveiling the Cosmos: Deep Learning Solutions to Inverse Problems in Astrophysics.”
The lecture will explore how deep learning is transforming the analysis of astrophysical inverse problems, …
13
Feb
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AI Keynote Series • 13.02.2025 • Online via Zoom
10:00 am - 11:30 am
Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming
Alex Luedtke, Department of Statistics, University of Washington
The speaker would introduce an algorithm that simplifies the construction of efficient estimators, making them accessible to a broader audience. ‘Dimple’ takes as input computer code representing a parameter of interest and outputs an efficient estimator. Unlike standard approaches, it does not require users to derive a functional derivative known …
13
Feb
Virtual Workshop on Generative AI with Diffusion Models • 13.02.2025 • Virtual
9:00 am - 5:00 pm
Generative AI With Diffusion Models
Virtual Workshop From Nvidia
Generative AI plays a significant role across industries. In this course, learners will take a deeper dive into denoising diffusion models.