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PhD candidate @ UvA πŸ‡³πŸ‡±, ELLIS πŸ‡ͺπŸ‡Ί | {video, neuro, cognitive}-AI Neural networks πŸ€– and brains 🧠 watching videos πŸ”— https://sites.google.com/view/csartzetaki/
Christina Sartzetaki @ ICLR









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Curious about this AND attending #ICLR 26 πŸ‡§πŸ‡·? Come to our poster with @annewzonneveld.bsky.social πŸ“† Sat Apr 25, Poster session 5, 10:30-13:00 πŸ“Pavillion 3 P3 - #1525, to learn how video models align with dynamic brain representations! πŸ•ΈοΈ sergeantchris.github.io/brain_dynami...
1mo
Video
Christina Sartzetaki @ ICLR
sergeylevine.substack.com/p/language-m...
Excited to announce that this has been accepted in ICLR 25!
πŸš¨πŸš¨πŸ“„ Check out our new preprint! Our results reveal novel insights on how continuous visual input is integrated in the human brainπŸ’‘, beyond the standard temporal processing hierarchy from low to high-level representations
Jun 11, 2025
Jan 24, 2025
Excited to be presenting this paper at #ICLR2025 this week! Come to the poster if you want to know more about how human brains and DNNs process video πŸ§ πŸ€– πŸ“† Sat 26 Apr, 10:00-12:30 - Poster session 5 (#64) πŸ“„ openreview.net/pdf?id=LM4PY... 🌐 sergeantchris.github.io/hundred_mode...
7mo
Excited to be presenting this with @annewzonneveld.bsky.social at #ICLR2026 in Rio πŸ‡§πŸ‡· in a few weeks! Stay tuned for the project page and poster details - dm if you want to chat about brains and video models :)
Apr 23, 2025
2mo
Why language models succeeded where video models failed, and what that teaches us about AI
sergeylevine.substack.com
Language Models in Plato's Cave
Christina Sartzetaki @ ICLR
Hey video-aficionados #VSS2026, this morning @sargechris.bsky.social presents our recent ICLR paper on benchmarking video ANNs on human EEG, suggesting an extended phase of mid-level video feature processing beyond the feed-forward sweep! (Pavilion 425) (paper here: openreview.net/pdf?id=bSsNS...)
Christina Sartzetaki @ ICLR
✨ The VIS Lab at the #University of #Amsterdam is proud and excited to announce it has #TWELVE papers πŸš€ accepted for the leading #AI-#makers conference on representation learning ( #ICLR2025 ) in Singapore πŸ‡ΈπŸ‡¬. 1/n πŸ‘‡πŸ‘‡πŸ‘‡ @ellisamsterdam.bsky.social
New preprint (#neuroscience #deeplearning doi.org/10.1101/2025...)! We trained 20 DCNNs on 941235 images with varying scene segmentation (original. object-only, silhouette, background-only). Despite object recognition varying (27-53%), all networks showed similar EEG prediction.