Ioannis Siglidis (he/they)
I'm an AI researcher (born in 1994), following a scholarship funded PhD in Computer Vision on "Visual Mining via Synthesis" (2022-2025) at the University of
Ecole Des Ponts Paris Tech of the eastern Paris Region. I'm part of the
IMAGINE lab, advised by
Mathieu Aubry. During the summer of 2023 I visited
BAIR under the most loving hospitality of
Alyosha Efros, where I made
friends along the way. I'm an
Antikythera 2024
Cognitive Infrastructure studio alumni, where I learned (from my friend
Cezar) that my website has a
Prof. Dr. Style, yet its base template comes from
Armin Linke. I had the priviledge to work closely for almost 3 years (2020-2022) with the visionary
Ilan Manouach doing futurist (AI-comics) projects like the
Neural Yorker. My first useful project was
GraKeL: A Graph Kernel Library in Python under the supervision of
Giannis Nikolentzos in the
DaSciM team at Ecole Polytechnique. I hold a degree with a suma cum laude from both the School of
Electrical and Computer Engineering of the
National Technical University of Athens and the
MVA master in Paris of
ENS-Paris-Saclay. I'm notorious for being a catophile and saying /ˈeɪ/ (sounds like the letter "A") yet my good-old friend
Chrysa started it.
Ioannis Siglidis,
Aleksander Holynski,
Alexei A. Efros,
Mathieu Aubry,
Shiry Ginosar
European Conference on Computer Vision (ECCV)
Ioannis Siglidis,
Nicolas Gonthier,
Julien Gaubil,
Tom Monnier,
Mathieu Aubry
Best Paper Award; Internation Conference of Document Analysis and Recognition (ICDAR)
Malamatenia Vlachou-Efstathiou,
Ioannis Siglidis,
Dominique Stutzmann,
Mathieu Aubry,
Internation Workshop on Computational Paleography (IWCP)
Guillaume Astruc* Nicolas Dufour* Ioannis Siglidis*, Constantin Aronssohn, Nacim Bouia,
Stephanie Fu,
Romain Loiseau,
Van Nguyen Nguyen,
Charles Raude,
Elliot Vincent,
Lintao XU, Hongyu Zhou,
Loic Landrieu
Computer Vision and Pattern Recognition (CVPR)
Giannis Nikolentzos,
Giannis Siglidis, Michalis Vazirgiannis
Journal of Artificial Intelligence Research (JAIR)
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis,
Michalis Vazirgiannis
Journal of Machine Learning Research (JMLR)
The first synthetic comic book co-created with emerging AI, a nonlinear meditation on deep learning that
celebrates the unexpected poetics of generative computing and explores its potential to form new reader sensibilities. It is the outcome of more than a 2-year research effort of trying to create a manga comic driven by the excitement and resources of an early stage of generative modelling, that at that time didn't meet the industrial needs of high-fidelity reconstruction and compositional generalization. A true futurist piece of work that both captures and invents a whole micro-style of imagery, from and as an implemented extra-human metaphor of Manga as big-data. As rare as a picture of a falling star, like certain websites of Web 1.0 it is an essential piece of avant-garde artistry.
Synthetic Cartoons in the style of New Yorker on Twitter (~2K followers).
(2022) Translation of Capital is Dead from McKenzie Wark, in greek.
A long interview I took from McKenzie Wark about the book in
english and in
greek.
A single
conceptual podcast where I read excerpts in the voice of an AI hybrid of me and McKenzie Wark.
Different from "Close Reading" that focuses on the close study of the artifacts of a certain cultural entity and "Distant Reading" that applies computational methods to them by treating them as big-data and extracts high level statistical conclusions and avoids a close qualitative analysis, Latent Reading speculates that to understand such an entity it may be meaningful to do instead a close-reading of the outputs of a generative model trained on its big-data.