Louis THIRY

Enseignement (Teaching)

• Cours statistiques et probabilités, 1A Info, ENS Rennes, 2021.

Présentations orales (Talks)

• Image classification with patches neighborhood encoding, équipe PANAMA, INRIA Rennes, 12 novembre 2020, slides.
• Interactive neural style transfer with artists, ICCC 2020, virtual conference, 7-11 sept. 2020, slides, link.
• Décomposition des images par les algorithmes et conséquences sur leur circulation, Colloque IMAGO-ENS, La circulation des images, Paris (virtuel), 15-18 juin 2020, video (english), link.
• Deep Network Classification by Scattering and Homotopy Dictionary Learning, Séminaire Images Optimisation et Probabilités, Universite de Bordeaux, 30 jan. 2020, link, slides.
• Image classification with Scattering and Dictionary learning, INRIA Parietal Team Seminar, Saclay, France, 22 oct. 2019, slides.
• Solid harmonic scattering transform for atomization energy regression, CECAM discussion meeting “Coarse-graining with Machine Learning in molecular dynamics”, Tuesday, December 4 – Thursday, December 6, 2018 slides, link.
• Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties, Cermics Lab, ENPC, Paris, 17 May 2018 slides, link.

Publications

• Classification d'images (Image classification)

• The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods, International Conference of Learing Representation (ICLR) 2021.
• Deep network classification by Scattering and homotopy dictionary learning, International Conference of Learing Representation (ICLR) 2020.

• Apprentissage de données physiques (Machine learning applied to physics)

• Machine learning surrogate models for prediction of point defect vibrational entropy, Physical Review Materials 4,063802, 2020.
• Solid harmonic wavelet scattering for predictionsof molecule properties, J. Chem. Phys. 148, 241732 (2018).

• Interaction avec des artistes (Interaction with artists)

• Diptychs of human and machine perceptions, NeurIPS 2020 workshop "Machine Learning for Creativity and Design".
• Interactive Neural Style Transfer with Artists, International Conference of Computational Creativity (ICCC) 2020, [photo pairs].
• Dialog on a canvas with a machine, NeurIPS 2019 workshop "Machine Learning for Creativity and Design".

• Développement logiciet (Software)

• Kymatio: Scattering Transforms in Python, Journal of Machine Learning Research, 21(60):1−6, 2020.

Implémentations open-source (open-source implementations)

• Python (numpy-scipy) implementation of Angular Fourier Series (AFS) descriptors.
• PyTorch implementation of 3D solid-harmonic Scattering Transform.
• PyTorch implementation of Style Transfer with Relaxed Optimal Transport and Self-Similarity (STROTSS), additional Sinkhorn Earth Mover's distance implemented.

E-mail:prenom.nom@ens.fr
Bureau:Haut di DI - 4