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ORCIDGeorgios Exarchakis
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2020 – today
- 2023
[j4]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: 102844 (2023)- 2022
- [j3]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): 44004 (2022) - [c7]Georgios Exarchakis, Omar Oubari, Gregor Lenz:
A sampling-based approach for efficient clustering in large datasets. CVPR 2022: 12393-12402 - [c6]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: 13-22 - [i5]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 abs/2207.00449 (2022) - 2021
- [i4]Georgios Exarchakis, Omar Oubari, Gregor Lenz:
A sampling-based approach for efficient clustering in large datasets. CoRR abs/2112.14793 (2021) - 2020
- [j2]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: 60:1-60:6 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1908.06843 (2019) - 2018
- [c5]Jörg Lücke, Zhenwen Dai, Georgios Exarchakis:
Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. LVA/ICA 2018: 467-478 - [i2]Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry:
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR abs/1805.00571 (2018) - [i1]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 abs/1812.11214 (2018) - 2017
- [j1]Georgios Exarchakis, Jörg Lücke:
Discrete Sparse Coding. Neural Comput. 29(11) (2017) - [c4]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: 6540-6549 - 2013
- [c3]Roland Memisevic, Georgios Exarchakis:
Learning invariant features by harnessing the aperture problem. ICML (3) 2013: 100-108 - [c2]Zhenwen Dai, Georgios Exarchakis, Jörg Lücke:
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. NIPS 2013: 243-251 - 2012
- [c1]Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke:
Ternary Sparse Coding. LVA/ICA 2012: 204-212
Coauthor Index
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