Research output per year
Research output per year
Personal profile
Research interests
My research interest are found on the interesection of Artificial Intelligence, Machine Learning, and Theoretical Neuroscience.
More specifically, my work currently focuses on:
- Learning Invariant Representations of High Dimensional Data
- Efficient Inference and Learning in Probabilistic Models
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Science, Probabilistic Models for Invariant Representations and Transformations, Carl von Ossietzky University of Oldenburg
Award Date: 1 Dec 2016
Computational Science, Master of Science, Johann Wolfgang Goethe-Universitat Frankfurt am Main
Award Date: 16 Apr 2012
Mathematics, Bachelor of Science, Aristotle University of Thessaloniki
Award Date: 1 Aug 2008
External positions
Chargé de recherche/Research Scientist, Institut de chirurgie guidée par l’Image
Feb 2021 → Aug 2022
Professeur chargé de cours/Assistant Professor (Part-time), École Polytechnique
Sept 2019 → Feb 2020
Chercheur/Postdoctoral Researcher, Institut de la Vision
Feb 2019 → Jan 2021
Chercheur/Postdoctoral Researcher, Ecole Normale Supérieure
Oct 2016 → Sept 2018
wissenschaftliche Mitarbeiter/Research Associate, Carl von Ossietzky University of Oldenburg
Oct 2014 → Sept 2016
Junior Specialist, University of California at Berkeley
May 2013 → Jul 2014
wissenschaftliche Mitarbeiter/Research Associate, Johann Wolfgang Goethe-Universitat Frankfurt am Main
May 2012 → Apr 2013
wissenschaftliche Hlifskraft/Research Assistant, Frankfurt Institute for Advanced Studies
Oct 2010 → Apr 2012
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Collaborations and top research areas from the last five years
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Research output
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A sampling-based approach for efficient clustering in large datasets
Exarchakis, G., Oubari, O. & Lenz, G., 22 Sept 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE, p. 12393-12402 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open Access4 Citations (SciVal) -
Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks
Skianis, K., Nikolentzos, G., Gallix, B., Thiebaut, R. & Exarchakis, G., 1 Dec 2023, In: Scientific Reports. 13, 1, 13 p., 5235.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal) -
Solid harmonic wavelet scattering for predictions of molecule properties
Eickenberg, M., Exarchakis, G., Hirn, M., Mallat, S. & Thiry, L., 28 Jun 2018, In: Journal of Chemical Physics. 148, 24, 241732.Research output: Contribution to journal › Article › peer-review
Open Access53 Citations (SciVal) -
Dissecting self-supervised learning methods for surgical computer vision
Ramesh, S., Srivastav, V., Alapatt, D., Yu, T., Murali, A., Sestini, L., Nwoye, C. I., Hamoud, I., Sharma, S., Fleurentin, A., Exarchakis, G., Karargyris, A. & Padoy, N., 1 Aug 2023, In: Medical Image Analysis. 88, 102844.Research output: Contribution to journal › Article › peer-review
Open Access12 Citations (SciVal) -
Prediction of cesarean delivery in class III obese nulliparous women: An externally validated model using machine learning
LODI, M., POTERIE, A., EXARCHAKIS, G., BRIEN, C., LAFAYE DE MICHEAUX, P., DERUELLE, P. & GALLIX, B., 1 Sept 2023, In: Journal of Gynecology Obstetrics and Human Reproduction. 52, 7, 102624.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure)