Categories for AI 2: Essential building blocks: Categories and Functors - Petar Veličković Published -- Download video MP4 360p Recommendations 2:00:45 Categories for AI 3: Categorical Dataflow: Optics and Lenses as data structures for backpropagation 1:01:11 Cats4AI talk: Sheaves for AI, Thomas Gebhart 46:48 Category Theory For Beginners: Functors And The Category Of Categories 1:08:06 Cohere For AI - Community Talks: Petar Veličković 24:07 AI can't cross this line and we don't know why. 26:20 A Sensible Introduction to Category Theory 1:00:08 Categories for AI 1: Why Category Theory? By Bruno Gavranović 20:09 Variational Autoencoders | Generative AI Animated 12:48 Has Generative AI Already Peaked? - Computerphile 17:38 The moment we stopped understanding AI [AlexNet] 24:59 How to train simple AIs to balance a double pendulum 2:00:36 Categories for AI talk: Causal Model Abstraction & Grounding via Category Theory - by Taco Cohen 1:49:11 WE MUST ADD STRUCTURE TO DEEP LEARNING BECAUSE... 1:08:01 Categories for AI talk: Category Theory Inspired by LLMs - by Tai-Danae Bradley 13:00 How AI Discovered a Faster Matrix Multiplication Algorithm 1:07:27 Categories for AI talk: Introduction to Categorical Cybernetics - by Jules Hedges 31:18 The Story of Shor's Algorithm, Straight From the Source | Peter Shor 1:53:51 ∞-Category Theory for Undergraduates Similar videos 36:56 #85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED] 39:43 Petar Veličković (DeepMind) — Neural Algorithmic Reasoning 1:12:20 Theoretical Foundations of Graph Neural Networks 54:01 Geometric Deep Learning, Petar Veličković 1:03:09 AMMI Course "Geometric Deep Learning" - Lecture 6 (Graphs & Sets II) - Petar Veličković 13:58 What are...functors? 1:03:53 AMMI Course "Geometric Deep Learning" - Lecture 5 (Graphs & Sets I) - Petar Veličković 36:16 Amazing things that happen with Human-AI synergy | Petar Velickovic | DSC Europe 2022 37:18 Category Theory - Lecture 7 Part 2 1:15:14 Beyond the Patterns 28 - Petar Veličković - Geometric Deep Learning 21:10 Prerequisites IV: Category Theory - Pim de Haan 53:37 AMMI 2022 Course "Geometric Deep Learning" - Lecture 4 (Geometric Priors II) - Joan Bruna 1:14:59 AMMI 2022 Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein More results