Georgios Exarchakis

According to our database, Georgios Exarchakis authored at least 15 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dissecting self-supervised learning methods for surgical computer vision.

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

Medical Image Anal., August, 2023

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., December, 2022

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision.

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

CoRR, 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

Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

A sampling-based approach for efficient clustering in large datasets.

Georgios Exarchakis, Omar Oubari, Gregor Lenz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

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, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg

J. Mach. Learn. Res., 2020

2019

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

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, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg

CoRR, 2018

Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.

Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry

CoRR, 2018

Truncated Variational Sampling for 'Black Box' Optimization of Generative Models.

Jörg Lücke, Zhenwen Dai, Georgios Exarchakis

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Discrete Sparse Coding.

Georgios Exarchakis, Jörg Lücke

Neural Comput., 2017

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities.

Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2013

What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach.

Zhenwen Dai, Georgios Exarchakis, Jörg Lücke

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning invariant features by harnessing the aperture problem.

Roland Memisevic, Georgios Exarchakis

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Ternary Sparse Coding.

Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke

Proceedings of the Latent Variable Analysis and Signal Separation, 2012