Georgios Exarchakis

16 papers A* 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Dissecting self-supervised learning methods for surgical computer vision. Medical Image Anal. 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
2022	A*	`conf`	A sampling-based approach for efficient clustering in large datasets. CVPR Georgios Exarchakis, Omar Oubari, Gregor Lenz
2022	J	`jnl`	Dissecting Self-Supervised Learning Methods for Surgical Computer Vision. CoRR 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
2022	J	`jnl`	Efficient spatio-temporal feature clustering for large event-based datasets. Neuromorph. Comput. Eng. Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman, Sio-Hoi Ieng
2022	—	`conf`	Spatio-Temporal Model for EUS Video Detection of Pancreatic Anatomy Structures. ASMUS@MICCAI Adrien Meyer, Antoine Fleurentin, Julieta Montanelli, Jean-Paul Mazellier, Lee Swanstrom, Benoit Gallix, Georgios Exarchakis, Leonardo Sosa Valencia, Nicolas Padoy
2021	J	`jnl`	A sampling-based approach for efficient clustering in large datasets. CoRR Georgios Exarchakis, Omar Oubari, Gregor Lenz
2020	J	`jnl`	Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 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
2019	J	`jnl`	ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions. CoRR Georgios Exarchakis, Jörg Bornschein, Abdul-Saboor Sheikh, Zhenwen Dai, Marc Henniges, Jakob Drefs, Jörg Lücke
2018	J	`jnl`	Kymatio: Scattering Transforms in Python. CoRR 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
2018	J	`jnl`	Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
2018	—	`conf`	Truncated Variational Sampling for 'Black Box' Optimization of Generative Models. LVA/ICA Jörg Lücke, Zhenwen Dai, Georgios Exarchakis
2017	J	`jnl`	Discrete Sparse Coding. Neural Comput. Georgios Exarchakis, Jörg Lücke
2017	—	`conf`	Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. NIPS Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
2013	—	`conf`	Learning invariant features by harnessing the aperture problem. ICML (3) Roland Memisevic, Georgios Exarchakis
2013	—	`conf`	What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach. NIPS Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
2012	—	`conf`	Ternary Sparse Coding. LVA/ICA Georgios Exarchakis, Marc Henniges, Julian Eggert, Jörg Lücke