Peyman M. Kiasari
@kiasari.bsky.social
ML researcher and engineer | currently focusing on computer vision, especially DS-CNNs
Our paper has been accepted to #NeurIPS2025 as poster 🥳
Looking forward to presenting our poster.
Looking forward to presenting our poster.
September 22, 2025 at 12:28 AM
Our paper has been accepted to #NeurIPS2025 as poster 🥳
Looking forward to presenting our poster.
Looking forward to presenting our poster.
Is #GPT5 the dreamed AGI? Not even close!
It still can't solve our easiest task, which humans score 100%: What is the shortest path between the two square nodes?
This is from our challenge the Visual Graph Arena (vga.csail.mit.edu)
It still can't solve our easiest task, which humans score 100%: What is the shortest path between the two square nodes?
This is from our challenge the Visual Graph Arena (vga.csail.mit.edu)
August 10, 2025 at 8:59 PM
Is #GPT5 the dreamed AGI? Not even close!
It still can't solve our easiest task, which humans score 100%: What is the shortest path between the two square nodes?
This is from our challenge the Visual Graph Arena (vga.csail.mit.edu)
It still can't solve our easiest task, which humans score 100%: What is the shortest path between the two square nodes?
This is from our challenge the Visual Graph Arena (vga.csail.mit.edu)
Every time I write a paper, I ask the best LLM I have to explain it to me in detail.
Never got it right. Always made up delusional stuff.
Never got it right. Always made up delusional stuff.
Kinda wild that the LLM reviews in reviews.cspaper.org correctly predicts the really mistaken reviewer comments
reviews.cspaper.org
July 30, 2025 at 10:23 PM
Every time I write a paper, I ask the best LLM I have to explain it to me in detail.
Never got it right. Always made up delusional stuff.
Never got it right. Always made up delusional stuff.
We’re presenting our work today at #ICML2025, Poster Session 4 West, W-214!
If you are interested in computer vision reasoning and multimodal LLMs come visit us!
If you are interested in computer vision reasoning and multimodal LLMs come visit us!
July 16, 2025 at 5:11 PM
We’re presenting our work today at #ICML2025, Poster Session 4 West, W-214!
If you are interested in computer vision reasoning and multimodal LLMs come visit us!
If you are interested in computer vision reasoning and multimodal LLMs come visit us!
Our paper "Visual Graph Arena: Evaluating AI's Visual Conceptualization" has been accepted at #ICML2025! 🎉🥳🎉
We introduce a dataset testing AI systems' ability to conceptualize graph representations.
Available at: vga.csail.mit.edu
More info + Camera ready version coming soon!
We introduce a dataset testing AI systems' ability to conceptualize graph representations.
Available at: vga.csail.mit.edu
More info + Camera ready version coming soon!
May 1, 2025 at 3:24 PM
Our paper "Visual Graph Arena: Evaluating AI's Visual Conceptualization" has been accepted at #ICML2025! 🎉🥳🎉
We introduce a dataset testing AI systems' ability to conceptualize graph representations.
Available at: vga.csail.mit.edu
More info + Camera ready version coming soon!
We introduce a dataset testing AI systems' ability to conceptualize graph representations.
Available at: vga.csail.mit.edu
More info + Camera ready version coming soon!
Camera-ready version is out! (arxiv.org/abs/2412.16751)
TL;DR: Deep CNN filters may be generalized, not specialized as previously believed.
Major update(Fig4): We froze layers from end-to-start instead of start-to-end. The result ironically suggests early layers are specialized!
TL;DR: Deep CNN filters may be generalized, not specialized as previously believed.
Major update(Fig4): We froze layers from end-to-start instead of start-to-end. The result ironically suggests early layers are specialized!
February 8, 2025 at 12:31 AM
Camera-ready version is out! (arxiv.org/abs/2412.16751)
TL;DR: Deep CNN filters may be generalized, not specialized as previously believed.
Major update(Fig4): We froze layers from end-to-start instead of start-to-end. The result ironically suggests early layers are specialized!
TL;DR: Deep CNN filters may be generalized, not specialized as previously believed.
Major update(Fig4): We froze layers from end-to-start instead of start-to-end. The result ironically suggests early layers are specialized!
🧵1/13 Happy to announce our AAAI paper! We challenge the notion that CNN filters should specialize in deeper layers- mostly established in Yosinski's influential work. Our findings suggest something quite different!
This is a continuation of our CNN understanding paper series.
This is a continuation of our CNN understanding paper series.
January 20, 2025 at 11:06 PM
🧵1/13 Happy to announce our AAAI paper! We challenge the notion that CNN filters should specialize in deeper layers- mostly established in Yosinski's influential work. Our findings suggest something quite different!
This is a continuation of our CNN understanding paper series.
This is a continuation of our CNN understanding paper series.