Dissecting self-supervised learning methods for surgical computer vision.

Georgios Exarchakis

Sanat Ramesh Vinkle Srivastav Deepak Alapatt Tong Yu 0009 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. 102844 2023 August 88 Medical Image Anal. https://doi.org/10.1016/j.media.2023.102844 db/journals/mia/mia88.html#RameshSAYMSNHSFEKP23

Omar Oubari Georgios Exarchakis Gregor Lenz Ryad Benosman Sio-Hoi Ieng Efficient spatio-temporal feature clustering for large event-based datasets. 44004 2022 December 2 Neuromorph. Comput. Eng. 4 https://doi.org/10.1088/2634-4386/ac970d db/journals/neuromorphic/neuromorphic2.html#OubariELBI22

Georgios Exarchakis Omar Oubari Gregor Lenz A sampling-based approach for efficient clustering in large datasets. 12393-12402 2022 CVPR https://doi.org/10.1109/CVPR52688.2022.01208 conf/cvpr/2022 db/conf/cvpr/cvpr2022.html#ExarchakisOL22 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. 13-22 2022 ASMUS@MICCAI https://doi.org/10.1007/978-3-031-16902-1_2 conf/miccai/2022asmus db/conf/miccai/asmus2022.html#MeyerFMMSGEVP22

Sanat Ramesh Vinkle Srivastav Deepak Alapatt Tong Yu 0009 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. 2022 abs/2207.00449 CoRR https://doi.org/10.48550/arXiv.2207.00449 db/journals/corr/corr2207.html#abs-2207-00449

Georgios Exarchakis Omar Oubari Gregor Lenz A sampling-based approach for efficient clustering in large datasets. 2021 abs/2112.14793 CoRR https://arxiv.org/abs/2112.14793 db/journals/corr/corr2112.html#abs-2112-14793

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 Cella Michael Eickenberg Kymatio: Scattering Transforms in Python. 60:1-60:6 2020 21 J. Mach. Learn. Res. https://www.jmlr.org/papers/v21/19-047.html db/journals/jmlr/jmlr21.html#AndreuxAELRTZMA20

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. 2019 abs/1908.06843 CoRR http://arxiv.org/abs/1908.06843 db/journals/corr/corr1908.html#abs-1908-06843

Jörg Lücke Zhenwen Dai Georgios Exarchakis Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. 467-478 2018 LVA/ICA https://doi.org/10.1007/978-3-319-93764-9_43 conf/ica/2018 db/conf/ica/ica2018.html#LuckeDE18

Michael Eickenberg Georgios Exarchakis Matthew J. Hirn Stéphane Mallat Louis Thiry Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. 2018 abs/1805.00571 CoRR http://arxiv.org/abs/1805.00571 db/journals/corr/corr1805.html#abs-1805-00571

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 Cella Michael Eickenberg Kymatio: Scattering Transforms in Python. 2018 abs/1812.11214 CoRR http://arxiv.org/abs/1812.11214 db/journals/corr/corr1812.html#abs-1812-11214

Georgios Exarchakis Jörg Lücke Discrete Sparse Coding. 2017 29 Neural Comput. 11 https://doi.org/10.1162/neco_a_01015 https://www.wikidata.org/entity/Q47668774 db/journals/neco/neco29.html#ExarchakisL17

Michael Eickenberg Georgios Exarchakis Matthew J. Hirn Stéphane Mallat Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. 6540-6549 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/72b386224056bf940cd5b01341f65e9d-Abstract.html http://papers.nips.cc/paper/7232-solid-harmonic-wavelet-scattering-predicting-quantum-molecular-energy-from-invariant-descriptors-of-3d-electronic-densities conf/nips/2017 db/conf/nips/nips2017.html#EickenbergEHM17 Roland Memisevic Georgios Exarchakis Learning invariant features by harnessing the aperture problem. 100-108 2013 ICML (3) http://proceedings.mlr.press/v28/memisevic13.html conf/icml/2013 db/conf/icml/icml2013.html#MemisevicE13 Zhenwen Dai Georgios Exarchakis Jörg Lücke What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. 243-251 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/6f3ef77ac0e3619e98159e9b6febf557-Abstract.html http://papers.nips.cc/paper/5195-what-are-the-invariant-occlusive-components-of-image-patches-a-probabilistic-generative-approach conf/nips/2013 db/conf/nips/nips2013.html#DaiEL13 Georgios Exarchakis Marc Henniges Julian Eggert Jörg Lücke Ternary Sparse Coding. 204-212 2012 LVA/ICA https://doi.org/10.1007/978-3-642-28551-6_26 conf/ica/2012 db/conf/ica/ica2012.html#ExarchakisHEL12 Deepak Alapatt Joakim Andén Mathieu Andreux Tomás Angles Eugene Belilovsky Ryad Benosman Jörg Bornschein Joan Bruna Carmine Cella Muawiz Chaudhary Zhenwen Dai Jakob Drefs Julian Eggert Michael Eickenberg Antoine Fleurentin Benoit Gallix Idris Hamoud Marc Henniges Matthew J. Hirn Sio-Hoi Ieng Alexandros Karargyris Gregor Lenz Roberto F. LeonarduzziRoberto Leonarduzzi Vincent Lostanlen Jörg Lücke Stéphane Mallat Jean-Paul Mazellier Roland Memisevic Adrien Meyer Julieta Montanelli Aditya Murali Chinedu Innocent Nwoye Omar Oubari Edouard Oyallon Nicolas Padoy Sanat Ramesh Gaspar Rochette Luca Sestini Saurav Sharma Abdul-Saboor Sheikh Vinkle Srivastav Lee L. SwanströmLee Swanstrom Louis Thiry Leonardo Sosa Valencia Tong Yu 0009 John Zarka Sixin Zhang