Geometric Deep Learning | Michael Bronstein || Radcliffe Institute
As part of the 2017–2018 Fellows’ Presentation Series at the Radcliffe Institute for Advanced Study, Michael Bronstein RI ’18 discusses the past, present, and potential future of technologies implementing computer vision—a scientific field in which machines are given the remarkable capability to extract and analyze information from digital images with a high degree of understanding.
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Michael Bronstein - Geometric Deep Learning | MLSS Kraków 2023
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ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
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Michael Bronstein - Geometric deep learning on graphs: going beyond Euclidean data
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Terence Tao on the cosmic distance ladder
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How AI Cracked the Protein Folding Code and Won a Nobel Prize
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Conan O’Brien Delivers the Commencement Address | Harvard Commencement 2026
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This Canadian Genius Created Modern AI
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AI, Machine Learning, Deep Learning and Generative AI Explained
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The Geometric Deep Learning Blueprint — Michael Bronstein
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Professor Geoffrey Hinton, “Godfather of AI”, live Q&A
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Riemannian manifolds, kernels and learning
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How Maxwell's Equations Were Discovered
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WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE...
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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