User:Podehaye/Machine learning notes
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- Temporal Type Theory
- Seven Sketches
- Systems, Generativity and Interactional Effects
- Backprop as functor
- Compositional Game Theory
- The simple essence of automatic differentiation
- Categorical compositional Distributional questions
- Neural Nets viaForward State Transformation andBackward Loss Transformation
- Learning Functors using Gradient Descent
- Characterizing the invariances of learning algorithms using category theory
- Generalized relations for compositonal models of meaning
- Compositional models for complex systems
- Graphical grammar and graphical completion of monoidal categories
- Physics topology logic and computation: a Rosetta stone