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Georgios Exarchakis
Georgios Exarchakis
Institute of Image-Guided Surgery of Strasbourg & University of Strasbourg
Dirección de correo verificada de ihu-strasbourg.eu - Página principal
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Kymatio: Scattering Transforms in Python.
M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
J. Mach. Learn. Res. 21 (60), 1-6, 2020
732020
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), 241732, 2018
662018
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
492017
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
172013
Ternary sparse coding
G Exarchakis, M Henniges, J Eggert, J Lücke
International Conference on Latent Variable Analysis and Signal Separation …, 2012
162012
Discrete sparse coding
G Exarchakis, J Lücke
Neural computation 29 (11), 2979-3013, 2017
142017
Learning invariant features by harnessing the aperture problem
R Memisevic, G Exarchakis
International Conference on Machine Learning, 100-108, 2013
122013
Advances in Neural Information Processing Systems 30
M Eickenberg, G Exarchakis, M Hirn, S Mallat
Curran Associates, Inc., 2017
82017
Truncated variational sampling for ‘black box’optimization of generative models
J Lücke, Z Dai, G Exarchakis
International Conference on Latent Variable Analysis and Signal Separation …, 2018
72018
Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks
K Skianis, G Nikolentzos, B Gallix, R Thiebaut, G Exarchakis
2022
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
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
2022
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
2022
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
Probabilistic models for invariant representations and transformations
G Exarchakis
Universtität Oldenburg, 2017
2017
Latent Variable Analysis and Signal Separation
FTA Cichocki, AYM Zibulevsky
Solid Harmonic Wavelet Scattering for Molecular Energy Regression
M Eickenberg, G Exarchakis, M Hirn, S Mallat
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
SM Michael Eickenberg, Georgios Exarchakis, Matthew Hirn
Neural Information processing Systems, 0
Discrete Symmetric Priors for Sparse Coding
G Exarchakis, M Henniges, J Lücke
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Artículos 1–19