Eigenanalysis
Eigenanalysis — notes by Théo Morales
Learning to Learn
Learning to Learn
I am Théo Morales, and this is my digital garden on Learning to Learn — notes on machine learning, Gaussian processes, meta-learning, 3D computer vision and graphics, written along my research journey.
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Des Idées Diamètralement Opposées à l'Intelligence Artificielle
Des Idées Diamètralement Opposées à l'Intelligence Artificielle — notes by Théo Morales
SOTA methods in hand pose regression for HOI
SOTA methods in hand pose regression for HOI — notes by Théo Morales
Curated list of datasets
Curated list of datasets — notes by Théo Morales
The Jacobian matrix
The Jacobian matrix — notes by Théo Morales
Gaussian Processes from A to Z
Gaussian Processes from A to Z — notes by Théo Morales
The Neural Process Family
The Neural Process Family — notes by Théo Morales
Proof of matrix-vector multiplication commutativeness for a symmetric matrix
Proof of matrix-vector multiplication commutativeness for a symmetric matrix — notes by Théo Morales
Probabilities 101
Probabilities 101 — notes by Théo Morales
From Diametrically Opposed Ideas to Artificial Intelligence
From Diametrically Opposed Ideas to Artificial Intelligence — notes by Théo Morales
Attention is all you need
Attention is all you need — notes by Théo Morales
A Gentle Introduction to Meta-Learning
A Gentle Introduction to Meta-Learning — notes by Théo Morales
Entangled poses, Manifolds, and Neural Networks
Entangled poses, Manifolds, and Neural Networks — notes by Théo Morales
Task overfitting and the memorisation problem
Task overfitting and the memorisation problem — notes by Théo Morales
Batch Normalisation
Batch Normalisation — notes by Théo Morales
Activation functions
Activation functions — notes by Théo Morales