Caselles
Research Director - Obvious Research PhD in Machine Learning - ENSTA / INRIA Flowers, Post-Doc - ISIR, Obvious collective co-founder & Forbes 30 under 30
ObviousParis
Pinned Repositories
classic_classifiers
Comparison of 5 predictive algorithms on a imbalanced 0-1 dataset.
Compressed_sensing_astronomy
Compressed sensing applied to Astronomy
Deep_Q-Network
Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.
Entropic_Affinities
A sparsification method for graph-based clustering and semi-supervised learning tasks, implemented on Python.
graph_kernels
Four of the main kernels on graphs Python implementation.
NeurIPS19-SBDRL
Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-Dupré, M. Garcia-Ortiz and D. Filliat.
NeurIPS22-demonstrations-pedagogy-pragmatism
A repository containing the code for NeurIPS22 paper "Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments"
paper_notes
Paper notes for my PhD on Machine Learning (mostly focused on Reinforcement Learning)
w2v_reco_hyperparameters_matter
Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. Royo-Letelier. The paper will be published on the 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018
Generative_Continual_Learning
Caselles's Repositories
Caselles/NeurIPS19-SBDRL
Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-Dupré, M. Garcia-Ortiz and D. Filliat.
Caselles/graph_kernels
Four of the main kernels on graphs Python implementation.
Caselles/paper_notes
Paper notes for my PhD on Machine Learning (mostly focused on Reinforcement Learning)
Caselles/Deep_Q-Network
Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.
Caselles/classic_classifiers
Comparison of 5 predictive algorithms on a imbalanced 0-1 dataset.
Caselles/Compressed_sensing_astronomy
Compressed sensing applied to Astronomy
Caselles/Entropic_Affinities
A sparsification method for graph-based clustering and semi-supervised learning tasks, implemented on Python.
Caselles/NeurIPS22-demonstrations-pedagogy-pragmatism
A repository containing the code for NeurIPS22 paper "Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments"
Caselles/Automatic_estimation_poses_3D
Automatic estimation of 3D human poses from videos.
Caselles/Caselles
Caselles/caselles.github.io
PhD website
Caselles/Double-DQN_theano_only
Project for ENSAE's ELTDM course : implementation of Deep Q-Network using only Theano.
Caselles/fast-display
Caselles/s-vs-d
Research on autotelic teachable agents with demonstrations.
Caselles/show-tell