35:11
Conformal Prediction under Ambiguous Ground Truth | David Stutz (Google Deepmind)
58:01
Interpretable Vision and Language Models | Zeynep Akata (TUM)
50:26
Building Foundation Models in Ophthamology | Pearse Keane (University College London)
01:07:35
Learning Dynamical Laws from Data | Niki Kilbertus (TUM & Helmholtz AI)
57:58
Stable Diffusion and Friends - Generative Modeling in Latent Space | Robin Rombach (Stability AI)
56:45
Human compatible World Models across Sizes, Languages and Modalities | Jonas Andrulis (Aleph Alpha)
52:34
Highly Accurate Protein Structure Prediction with AlphaFold | SimonKohl
01:08:22
Why Domain Knowledge is Crucial for Machine Learning-based Medical Image Analysis | Lena Maier-Hein
57:53
A Brief Overview of the Success Story of Large Language Models | Timo Denk
01:02:17
Signed Graph Partitioning: An Important Primitive in Computer Vision | Fred Hamprecht
46:38
From Development to a Certified Medical Product: Bringing AI solutions to the Patient | Philipp Mann
01:24:00
Deep Learning on Graphs: Successes, Challenges, and Next Steps | Michael Bronstein
01:07:27
Uncertainty, Causality and Generalization | Ben Glocker
01:11:40
Learning Equivariant and Hybrid Message Passing on Graphs | Max Welling
01:17:22
Cross-Lingual Transfer Learning | Sebastian Ruder
59:40
Analyzing Inverse Problems in Natural Science using Invertible Neural Networks | Ullrich Köthe
01:02:38
Leveraging Bayesian Uncertainty Information | Christian Leibig | heidelberg.ai
01:14:22
Self Supervision - Learning to Learn | Björn Ommer | heidelberg.ai
01:28:00
Learning the Structure of Graph Neural Networks | Mathias Niepert | heidelberg.ai
01:12:42
Towards Motor Skill Learning | Jan Peters | heidelberg.ai
01:00:07
Generative Query Networks & Neural Processes | Marta Garnelo | heidelberg.ai
01:12:35
How Probabilistic Thinking and ML are Disrupting Retail | Christian Scherrer | heidelberg.ai
01:07:17
Modelling Probability Distributions using Neural Networks | Christian Baumgartner | heidelberg.ai
01:50:31
Deep Learning to Solve Challenging Problems | Jeff Dean | heidelberg.ai
30:00
heidelberg.ai - Deep Generative Models (Tutorial)
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heidelberg.ai is a place for professionals and enthusiasts working in AI to meet and discuss. We have regular meetups and invited talks on a variety of AI-related topics. We will record the latter whenever we can and make them available on this channel.
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