Analyse statistique générale
statistiques-
Principal component analysis
https://en.wikipedia.org/wiki/Principal_component_analysis -
Curse of dimensionality
https://en.wikipedia.org/wiki/Curse_of_dimensionality -
Statistical paradoxes wiki category
https://en.wikipedia.org/wiki/Category:Statistical_paradoxes -
Random Data : Analysis and Measurement Procedures (4th ed) - Bendat & Piersol, 600p
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How Not To Lie With Statistics: The Correct Way To Summarize Benchmark Results (the geometric mean is the only one meaningful for normalized numbers, the arithmetic mean gives inconsistent results for adimensionalized numbers)
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Bootstrapping (statistics)
https://en.wikipedia.org/wiki/Bootstrapping_(statistics) -
Permutation test
https://en.wikipedia.org/wiki/Permutation_test
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Problèmes inverses
problèmes-inverses-
Inverse problem
https://en.wikipedia.org/wiki/Inverse_problem -
Regularization
https://en.wikipedia.org/wiki/Regularization_(mathematics) -
Problèmes Inverses - Centrale Paris
http://perso.ensta-paristech.fr/~mbonnet/invdssc.pdf -
Reconstruction d’images de tomographie (maths) - Isabelle BLOCH, Télécom ParisTech, 30p
https://perso.telecom-paristech.fr/bloch/ATIM/tomo.pdf -
Principes de la tomodensitométrie - Pr. Ivan Bricault, slides
http://cerf.radiologie.fr/sites/cerf.radiologie.fr/files/Enseignement/DES/Archives-Documents/2016%20Bases%20TDM%20IBricault.pdf Non-line-of-sight imaging
non-line-of-sight-imaging-
Shadows used to peer around corners (editorial for "Computational periscopy with an ordinary digital camera")
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Computational periscopy with an ordinary digital camera - Saunders et al.
https://static-content.springer.com/esm/art%3A10.1038%2Fs41586-018-0868-6/MediaObjects/41586_2018_868_MOESM2_ESM.mp4 -
Computational periscopy with an ordinary digital camera - Saunders et al.
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Théorème de Radon
https://fr.wikipedia.org/wiki/Théorème_de_Radon -
Deconvolution
https://en.wikipedia.org/wiki/Deconvolution -
Phase problem (crystallography / Fourier analysis)
https://en.wikipedia.org/wiki/Phase_problem
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Optimisation
optimisation-
Vanishing gradient problem
https://en.wikipedia.org/wiki/Vanishing_gradient_problem
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Paradigmes d'Intelligence artificielle
AI-
Learning with Opponent-Learning Awareness
https://arxiv.org/abs/1709.04326 -
A DARPA Perspective on Artificial Intelligence
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Hindsight Experience Replay (how can we be bad teachers) - Two Minute Papers
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Latent Space Human Face Synthesis - Two Minute Papers
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Équilibre de Nash -> problème courant des GANs
https://fr.wikipedia.org/wiki/Équilibre_de_Nash Unsupervised learning
unsupervised-learning-
Generative adversarial network
https://en.wikipedia.org/wiki/Generative_adversarial_network
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Apprentissage Artificiel, Concepts et algorithmes - 2nd ed, Cornuéjols & Miclet
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Réseaux neuronaux
réseaux-neuronaux-
Evolving Neural Networks that are both Modular and Regular
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Bidirectional recurrent neural networks
https://en.wikipedia.org/wiki/Bidirectional_recurrent_neural_networks -
Flexible, High Performance Convolutional Neural Networks for Image Classification
http://www.ijcai.org/Proceedings/11/Papers/210.pdf
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Traitement du Signal
signalGénéralités
généralités-
Kramers–Kronig relations (~gain–phase relation, integral dispersion relation, Hilbert transform…)
https://en.wikipedia.org/wiki/Kramers–Kronig_relations -
Traitement du signal - Stéphane Mallat, ENS
http://www.di.ens.fr/~mallat/papiers/Spoly.pdf
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Traitement du signal aléatoire - Olivier Besson/ISAE-SUPAERO
traitement-du-signal-aléatoire-
Estimation en traitement du signal
https://personnel.isae-supaero.fr/IMG/pdf/slides_estimation.pdf -
Introduction to Spectral Analysis
https://personnel.isae-supaero.fr/IMG/pdf/slides_asp_eng.pdf
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Traitement d'antenne/array signal processing
traitement-d-antenne-
Introduction to Array Processing - Olivier Besson/ISAE-SUPAERO
https://personnel.isae-supaero.fr/IMG/pdf/slides_array_eng.pdf -
Méthodes haute-résolution en analyse spectrale et localisation - Yves Grenier/Télécom ParisTech
https://perso.telecom-paristech.fr/rioul/liesse/2012liesse4/YG-slides.pdf -
Performance Analysis of MUSIC, Root-MUSIC and ESPRIT DOA Estimation Algorithm
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GitHub - morriswmz/doa-tools: A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
https://github.com/morriswmz/doa-tools -
GitHub - morriswmz/doatools.py: A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.
https://github.com/morriswmz/doatools.py
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Analyse spectrale
analyse-spectrale-
Introduction to Spectral Analysis - Olivier Besson/ISAE-SUPAERO
https://personnel.isae-supaero.fr/IMG/pdf/slides_asp_eng.pdf -
(Épi)ⁿ-cycloïdes et l'éléphant de Fermi et Von Neumann
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Imagerie & Computer Vision
imagerie-
Adaptive Thresholding Using the Integral Image
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Hough Transform
https://en.wikipedia.org/wiki/Hough_transform -
Recalage d’images, PIV et corrélation d’images — Les bases théoriques
https://linuxfr.org/news/recalage-d-images-piv-et-correlation-d-images-les-bases-theoriques -
Recalage d’images, PIV et corrélation d’images — Les logiciels
http://linuxfr.org/news/recalage-d-images-piv-et-correlation-d-images-les-logiciels -
Adversarial Examples that bool both Human and Computer Vision - Two Minute Papers #241
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One Pixel Attack Defeats Neural Networks - Two Minute Papers #240
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Universal Neural Style Transfer | Two Minute Papers #213
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Neural scene representation and rendering - DeepMind
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Aspects pratiques
aspects-pratiquesOutils
outils-
Python Data Analysis Library — pandas: Python Data Analysis Library
https://pandas.pydata.org/ -
scikit-learn: machine learning in Python
https://scikit-learn.org/stable/
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AutoML : la machine d'intelligence artificielle de Google qui a appris à se répliquer serait meilleure que les ingénieurs pour créer d'autres IA
https://www.developpez.com/actu/167725/AutoML-la-machine-d-intelligence-artificielle-de-Google-qui-a-appris-a-se-repliquer-serait-meilleure-que-les-ingenieurs-pour-creer-d-autres-IA/
Adversarial Machine Learning
adversarial-machine-learning-
TODO lien avec sécu
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awesome-adversarial-machine-learning: A curated list of awesome adversarial machine learning resources
https://github.com/yenchenlin/awesome-adversarial-machine-learning -
Learning boxing with almost no training data (and a very involved training curve) - Two Minute Papers
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DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
https://xbpeng.github.io/projects/DeepMimic/index.html -
SIGGRAPH 2018: DeepMimic paper (main video)
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Understanding latency and measuring it right (most people do it wrong) - Gil Tene - React Conference