| 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 | 181 | 2020 |
| 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 | 90 | 2018 |
| 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 | 63 | 2017 |
| 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 | 31 | 2022 |
| 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 | 18 | 2013 |
| Discrete sparse coding G Exarchakis, J Lücke Neural computation 29 (11), 2979-3013, 2017 | 17 | 2017 |
| Ternary sparse coding G Exarchakis, M Henniges, J Eggert, J Lücke Latent Variable Analysis and Signal Separation: 10th International …, 2012 | 16 | 2012 |
| Learning invariant features by harnessing the aperture problem R Memisevic, G Exarchakis International Conference on Machine Learning, 100-108, 2013 | 13 | 2013 |
| 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 | 11 | 2017 |
| 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 | 9 | 2022 |
| 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 | 9 | 2018 |
| 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 | 7 | 2023 |
| 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 | 5 | 2018 |
| 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 | 4 | 2022 |
| 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 | 1 | 2023 |
| 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 | 1 | 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 |
| 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 |
| Probabilistic models for invariant representations and transformations G Exarchakis Universtität Oldenburg, 2017 | | 2017 |
Matthew HirnCitadel LLCVerified email at citadel.com
