Ternary Sparse Coding. - Georgios Exarchakis; Marc Henniges; Julian Eggert; Jörg Lücke (LVA/ICA, 2012)

Learning invariant features by harnessing the aperture problem. - Roland Memisevic; Georgios Exarchakis (ICML (3), 2013)

What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. - Zhenwen Dai; Georgios Exarchakis; Jörg Lücke (NIPS, 2013)

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. - Michael Eickenberg; Georgios Exarchakis; Matthew J. Hirn; Stéphane Mallat (NIPS, 2017)

Discrete Sparse Coding. - Georgios Exarchakis; Jörg Lücke (Neural Comput., 2017)

Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. - Jörg Lücke; Zhenwen Dai; Georgios Exarchakis (LVA/ICA, 2018)

Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. - Michael Eickenberg; Georgios Exarchakis; Matthew J. Hirn; Stéphane Mallat; Louis Thiry (CoRR, 2018)

Kymatio: Scattering Transforms in Python. - Mathieu Andreux; Tomás Angles; Georgios Exarchakis; Roberto Leonarduzzi; Gaspar Rochette; Louis Thiry; John Zarka; Stéphane Mallat; Joakim Andén; Eugene Belilovsky; Joan Bruna; Vincent Lostanlen; et al. (CoRR, 2018)

ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. - Georgios Exarchakis; Jörg Bornschein; Abdul-Saboor Sheikh; Zhenwen Dai; Marc Henniges; Jakob Drefs; Jörg Lücke (CoRR, 2019)

Kymatio: Scattering Transforms in Python. - Mathieu Andreux; Tomás Angles; Georgios Exarchakis; Roberto Leonarduzzi; Gaspar Rochette; Louis Thiry; John Zarka; Stéphane Mallat; Joakim Andén; Eugene Belilovsky; Joan Bruna; Vincent Lostanlen; et al. (J. Mach. Learn. Res., 2020)

A sampling-based approach for efficient clustering in large datasets. - Georgios Exarchakis; Omar Oubari; Gregor Lenz (CVPR, 2022)

Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures. - Adrien Meyer; Antoine Fleurentin; Julieta Montanelli; Jean-Paul Mazellier; Lee Swanstrom; Benoit Gallix; Georgios Exarchakis; Leonardo Sosa Valencia; Nicolas Padoy (ASMUS@MICCAI, 2022)

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. - Sanat Ramesh; Vinkle Srivastav; Deepak Alapatt; Tong Yu 009; Aditya Murali; Luca Sestini; Chinedu Innocent Nwoye; Idris Hamoud; Antoine Fleurentin; Georgios Exarchakis; Alexandros Karargyris; Nicolas Padoy (CoRR, 2022)

Efficient spatio-temporal feature clustering for large event-based datasets. - Omar Oubari; Georgios Exarchakis; Gregor Lenz; Ryad Benosman; Sio-Hoi Ieng (Neuromorph. Comput. Eng., 2022)

Dissecting self-supervised learning methods for surgical computer vision. - Sanat Ramesh; Vinkle Srivastav; Deepak Alapatt; Tong Yu 009; Aditya Murali; Luca Sestini; Chinedu Innocent Nwoye; Idris Hamoud; Saurav Sharma; Antoine Fleurentin; Georgios Exarchakis; Alexandros Karargyris; et al. (Medical Image Anal., 2023)