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Georgios Exarchakis
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Kymatio: Scattering transforms in python
M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
The Journal of Machine Learning Research 21 (1), 2256-2261, 2020
1632020
Solid harmonic wavelet scattering for predictions of molecule properties
M Eickenberg, G Exarchakis, M Hirn, S Mallat, L Thiry
The Journal of chemical physics 148 (24), 2018
862018
Solid harmonic wavelet scattering: Predicting quantum molecular energy from invariant descriptors of 3D electronic densities
M Eickenberg, G Exarchakis, M Hirn, S Mallat
Advances in Neural Information Processing Systems 30, 2017
622017
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
S Ramesh, V Srivastav, D Alapatt, T Yu, A Murali, L Sestini, CI Nwoye, ...
https://arxiv.org/abs/2207.00449, 2022
182022
Discrete sparse coding
G Exarchakis, J Lücke
Neural computation 29 (11), 2979-3013, 2017
182017
What are the invariant occlusive components of image patches? a probabilistic generative approach
Z Dai, G Exarchakis, J Lücke
Advances in neural information processing systems 26, 2013
182013
Ternary sparse coding
G Exarchakis, M Henniges, J Eggert, J Lücke
Latent Variable Analysis and Signal Separation: 10th International …, 2012
172012
Advances in Neural Information Processing Systems 30
M Eickenberg, G Exarchakis, M Hirn, S Mallat, I Guyon, UV Luxburg, ...
Proceedings of the Annual Conference on Neural Information Processing Systems, 2017
142017
Learning invariant features by harnessing the aperture problem
R Memisevic, G Exarchakis
International Conference on Machine Learning, 100-108, 2013
132013
Truncated variational sampling for ‘black box’optimization of generative models
J Lücke, Z Dai, G Exarchakis
Latent Variable Analysis and Signal Separation: 14th International …, 2018
92018
A sampling-based approach for efficient clustering in large datasets
G Exarchakis, O Oubari, G Lenz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks
K Skianis, G Nikolentzos, B Gallix, R Thiebaut, G Exarchakis
Scientific Reports 13 (1), 5235, 2023
52023
J. andén, E
M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
Belilovsky, J. Bruna, V. Lostanlen, M. Chaudhary, MJ Hirn, E. Oyallon, S …, 2018
52018
Spatio-temporal model for EUS video detection of pancreatic anatomy structures
A Meyer, A Fleurentin, J Montanelli, JP Mazellier, L Swanstrom, B Gallix, ...
International Workshop on Advances in Simplifying Medical Ultrasound, 13-22, 2022
32022
Prediction of cesarean delivery in class III obese nulliparous women: An externally validated model using machine learning
M Lodi, A Poterie, G Exarchakis, C Brien, P Lafaye de Micheaux, ...
Journal of Gynecology Obstetrics and Human Reproduction 52 (7), 2023
12023
Efficient spatio-temporal feature clustering for large event-based datasets
O Oubari, G Exarchakis, G Lenz, R Benosman, SH Ieng
Neuromorphic Computing and Engineering 2 (4), 044004, 2022
12022
TOWARDS AUTOMATIC DETECTION IN PANCREATIC EUS: AN ASSESSMENT OF DEEP LEARNING METHODS
L Sosa-Valencia, A Fleurentin, A Meyer, J Montanelli, JP Mazelier, ...
Endoscopy 54 (S 01), OP217, 2022
2022
Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks (preprint)
K Skianis, G Nikolentzos, B Gallix, R Thiebaut, G Exarchakis
2022
Kymatio: Scattering transforms in python
G Exarchakis
Journal of Machine Learning Research 21 (1), 2256-2261, 2020
2020
ProSper--A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
G Exarchakis, J Bornschein, AS Sheikh, Z Dai, M Henniges, J Drefs, ...
arXiv preprint arXiv:1908.06843, 2019
2019
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