AMMI 2022 Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets) - Petar Veličković Published 2022-07-27 Download video MP4 360p Recommendations 59:12 AMMI 2022 Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković 1:05:21 AMMI 2022 Course "Geometric Deep Learning" - Lecture 7 (Grids) - Joan Bruna 53:37 AMMI 2022 Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna 1:34:14 Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein 1:10:50 Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 22:57 Prerequisites II: Topology - Cristian Bodnar 21:10 Prerequisites IV: Category Theory - Pim de Haan 2:25:52 The spelled-out intro to neural networks and backpropagation: building micrograd 09:26 27 Unhelpful Facts About Category Theory 1:28:36 Lecture 3: Sheaf Neural Networks - Cristian Bodnar 28:33 What is the Riemann Hypothesis REALLY about? 22:43 Spinning a black hole as fast as possible 12:13 Wow! Huge Structure Is a Big Bang Remnant 1 Billion Light Years Across 3:46:15 Tutorial on Denoising Diffusion-based Generative Modeling: Foundations and Applications 1:04:45 A Theory for Emergence of Complex Skills in Language Models 39:13 "Catching up on the weird world of LLMs" - Simon Willison (North Bay Python 2023) 1:28:35 Lecture 2: Topological Message Passing - Cristian Bodnar 16:37 Renormalization: Why Bigger is Simpler 45:30 Geometric Deep Learning | Michael Bronstein || Radcliffe Institute Similar videos 1:03:53 AMMI Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets I) - Petar Veličković 1:03:09 AMMI Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković 1:14:59 AMMI 2022 Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein 55:50 AMMI 2022 Course "Geometric Deep Learning" - Seminar 5 (AlphaFold) - Russ Bates 59:12 AMMI Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein 1:19:40 AMMI 2022 Course "Geometric Deep Learning" - Lecture 2 (Learning in High Dimensions) - Joan Bruna 1:25:12 Geometric Deep Learning: GNNs Beyond Permutation Equivariance 1:02:04 AMMI Course "Geometric Deep Learning" - Lecture 3 (Geometric Priors I) - Taco Cohen 1:14:01 AMMI 2022 Course "Geometric Deep Learning" - Lecture 9 (Manifolds) - Michael Bronstein 1:02:29 AMMI Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna 1:11:51 AMMI 2022 Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen 58:30 Petar Veličković Graph Neural Networks: Geometric, Structural and Algorithmic Perspectives Part 1 54:28 Geometric Deep Learning: Past, Present, And Future, by Michael Bronstein 1:05:44 AMMI Course "Geometric Deep Learning" - Lecture 8 (Groups & Homogeneous spaces) - Taco Cohen More results