Pim de Haan
2K subscribers
Categories for AI 4: Geometric Deep Learning & Naturality - by Pim de Haan
Pim de Haan · 4.2K views · Streamed 3 years ago
Causal Confusion in Imitation Learning
Pim de Haan · 1.5K views · 3 years ago
Categories for AI talk: Neural network layers as parametric spans - by Pietro Vertechi
Pim de Haan · 2K views · Streamed 3 years ago
Categories for AI 1: Why Category Theory? By Bruno Gavranović
Pim de Haan · 27K views · Streamed 3 years ago
Categories for AI 5: Monoids, Monads, Mappings, and lstMs - by Andrew Dudzik
Pim de Haan · 2.5K views · Streamed 3 years ago
Categories for AI talk: Category Theory Inspired by LLMs - by Tai-Danae Bradley
Pim de Haan · 7.4K views · Streamed 3 years ago
Cats4AI talk: Dynamic organizational systems: from deep learning to prediction markets, David Spivak
Pim de Haan · 2.3K views · Streamed 3 years ago
Categories for AI 2: Essential building blocks: Categories and Functors - Petar Veličković
Pim de Haan · 14K views · Streamed 3 years ago
Categories for AI talk: Causal Model Abstraction & Grounding via Category Theory - by Taco Cohen
Pim de Haan · 4.4K views · Streamed 3 years ago
Categories for AI 3: Categorical Dataflow: Optics and Lenses as data structures for backpropagation
Pim de Haan · 7.9K views · Streamed 3 years ago
Categories for AI talk: Introduction to Categorical Cybernetics - by Jules Hedges
Pim de Haan · 1.6K views · Streamed 3 years ago