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Caselles/README.md

Hugo Caselles-Dupré.

Research Director at Obvious Research since 2023, in partnership with ISIR (Sorbonne University). I'm also an artist of Obvious, a collective interested in Art & Machine Learning. You can learn more about us here. Currently leading Obvious Research, a research laboratory on Generative AI (image, video, sound) in partnership with ISIR (Sorbonne University). We have an ANR grant of over 1M€ to invent new AI algorithms for artistic creation (2023-2027). We are hiring interns, postdocs, research engineers and PhDs, contact me!

In 2021-2023, I did a Post-Doc at ISIR (Sorbonne University) under the supervision of Olivier Sigaud and Mohamed Chetouani, studying the teachability of autonomous agents. In 2021, I graduated with a PhD from the Flowers Laboratory of ENSTA ParisTech and INRIA (supervised by David Filliat and Michaël Garcia-Ortiz). The title of my thesis is "On the Role of Action and Machine Learning in Artificial Agent Perception".

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  1. NeurIPS19-SBDRL NeurIPS19-SBDRL Public

    Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-Dupré, M. Garcia-Ortiz and D. Filliat.

    Python 35 11

  2. deezer/w2v_reco_hyperparameters_matter deezer/w2v_reco_hyperparameters_matter Public

    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 Co…

    Python 53 16

  3. paper_notes paper_notes Public

    Paper notes for my PhD on Machine Learning (mostly focused on Reinforcement Learning)

    16 1

  4. TLESORT/Generative_Continual_Learning TLESORT/Generative_Continual_Learning Public

    Python 53 13

  5. graph_kernels graph_kernels Public

    Four of the main kernels on graphs Python implementation.

    Python 16 1

  6. Deep_Q-Network Deep_Q-Network Public

    Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.

    Jupyter Notebook 2