Georgios Exarchakis

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 13

Top Topics

Invariant Descriptors

Category Recognition

Top Venues

Medical Image Anal.

J. Mach. Learn. Res.

Publications

Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Saurav Sharma, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy
Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 88 (2023)
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, Tong Yu, Aditya Murali, Luca Sestini, Chinedu Innocent Nwoye, Idris Hamoud, Antoine Fleurentin, Georgios Exarchakis, Alexandros Karargyris, Nicolas Padoy
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR (2022)
Georgios Exarchakis, Omar Oubari, Gregor Lenz
A sampling-based approach for efficient clustering in large datasets. CVPR (2022)
Adrien Meyer, Antoine Fleurentin, Julieta Montanelli, Jean-Paul Mazellier, Lee Swanstrom, Benoit Gallix, Georgios Exarchakis, Leonardo Sosa Valencia, Nicolas Padoy
Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures. ASMUS@MICCAI (2022)
Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman, Sio-Hoi Ieng
Efficient spatio-temporal feature clustering for large event-based datasets. Neuromorph. Comput. Eng. 2 (4) (2022)
Georgios Exarchakis, Omar Oubari, Gregor Lenz
A sampling-based approach for efficient clustering in large datasets. CoRR (2021)
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 21 (2020)
Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke
ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. CoRR (2019)
Jörg Lücke, Zhenwen Dai, Georgios Exarchakis
Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. LVA/ICA (2018)
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. CoRR (2018)
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR (2018)
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. NIPS (2017)
Georgios Exarchakis, Jörg Lücke
Discrete Sparse Coding. Neural Comput. 29 (11) (2017)
Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. NIPS (2013)
Roland Memisevic, Georgios Exarchakis
Learning invariant features by harnessing the aperture problem. ICML (3) (2013)
Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke
Ternary Sparse Coding. LVA/ICA (2012)