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Lenses and Learners

Lenses and Learners

5 March 2019
Brendan Fong
Michael Johnson
ArXivPDFHTML

Papers citing "Lenses and Learners"

9 / 9 papers shown
Title
Deep Learning with Parametric Lenses
Deep Learning with Parametric Lenses
Geoffrey S. H. Cruttwell
Bruno Gavranović
Neil Ghani
Paul W. Wilson
Fabio Zanasi
33
2
0
30 Mar 2024
Pooling Image Datasets With Multiple Covariate Shift and Imbalance
Sotirios Panagiotis Chytas
Vishnu Suresh Lokhande
Peiran Li
Vikas Singh
OOD
38
0
0
05 Mar 2024
Space-time tradeoffs of lenses and optics via higher category theory
Space-time tradeoffs of lenses and optics via higher category theory
Bruno Gavranović
18
5
0
19 Sep 2022
A Probabilistic Generative Model of Free Categories
A Probabilistic Generative Model of Free Categories
Eli Sennesh
T. Xu
Y. Maruyama
16
0
0
09 May 2022
Compositional Active Inference I: Bayesian Lenses. Statistical Games
Compositional Active Inference I: Bayesian Lenses. Statistical Games
T. S. C. Smithe
28
13
0
09 Sep 2021
Category Theory in Machine Learning
Category Theory in Machine Learning
Dan Shiebler
Bruno Gavranović
Paul W. Wilson
24
31
0
13 Jun 2021
Categorical Foundations of Gradient-Based Learning
Categorical Foundations of Gradient-Based Learning
Geoffrey S. H. Cruttwell
Bruno Gavranović
Neil Ghani
Paul W. Wilson
Fabio Zanasi
FedML
23
70
0
02 Mar 2021
Categorical Stochastic Processes and Likelihood
Categorical Stochastic Processes and Likelihood
Dan Shiebler
11
9
0
10 May 2020
Backprop as Functor: A compositional perspective on supervised learning
Backprop as Functor: A compositional perspective on supervised learning
Brendan Fong
David I. Spivak
Rémy Tuyéras
41
93
0
28 Nov 2017
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