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Aran Nayebi

Aran Nayebi

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Followers
231
Account age
3 yrs
🧰 Free analysis for Aran Nayebi
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Post engagement

3
Avg engagement / post
1.3%
Engagement vs followers
Dec 2022
On Mastodon since

🔥 Top post: Now also on arXiv: https://arxiv.org/abs/2311.09239 · 9 likes + reposts

📊 Activity & format

Posting cadence
0.21 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
0.3×
Follows 670 back. A more reciprocal / networked account.
🔥 Top post Now also on arXiv: https://arxiv.org/abs/2311.09239 ★ 9
I'm thrilled to share that I'll be joining Carnegie Mellon's (CMU) Machine Learning Department as an Assistant Professor this Fall! My lab will work at the intersection of neuroscience & AI to reverse-engineer animal intelligence and build… Really enjoyed speaking with Alison Snyder about the importance of studying embodied cognition in both neuroscience & AI! https://www.axios.com/2024/03/15/artificial-intelligence-neuroscience-brain-body I am now also on: @anayebi.bsky.social This comes about a year and a half late -- but if you are interested in learning a bit more about how AI can help us understand questions in neuroscience, the official permanent url of my PhD Dissertation "A Goal-Driven Approach to Systems… ★ 2 Ten years ago, I received a handwritten manuscript by Alan Turing’s only PhD student, Robin Gandy. He wrote it a couple years before passing away in 1995. AFAIK, it’s never before been in print, so I typeset my copy & put it online here: h… ★ 2 Now also featured on MIT 's main TikTok page! https://www.tiktok.com/@mit/video/7297257256834403627 Nice to see our latest work on mental simulation featured on the front page of MIT News today! https://news.mit.edu/2023/brain-self-supervised-computational-models-1030 Full Paper (#NeurIPS2023 Spotlight): https://arxiv.org/abs/2305.11772 … ★ 1 "Can robotics help us understand the brain?" A fun short video on our recent #NeurIPS2023 Spotlight paper! https://www.youtube.com/shorts/tQsCNEpGYCo Full paper: https://arxiv.org/abs/2305.11772 At the end (52:00), I discuss some heuristics for understanding natural intelligence that are suggested by the findings of the above two studies. These include how to turn a connectome into a functional model, and why end-to-end RL approa… My talk at MIT's Center for Brains, Minds and Machines (CBMM) is available now, titled "Using Embodied AI to help answer "why" questions in systems neuroscience". I discuss how self-supervised learning of visual representations that are re… ★ 1 The core points are: 1. mental simulation is relevant to a future latent space, but 2. this latent is highly constrained -- it doesn't appear to consist of bespoke object slots or pay attention to fine-grained details (e.g. pixelwise), bu…

🐘 Community & instance

Home server
mstdn.science
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Dec 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 3 views per post.
📤Posts about 0.2× per week.

🕵️ Fake follower check

Estimated
89/100
Excellent Credibility score
99%
Real Real audience
Low Fake-follower risk
High Data confidence
  • Est. 99% real, active audience · Low fake-follower risk.
  • Strong engagement (~1.3% of followers engage each post) — an active, real audience.
  • Verified account.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Assistant Professor of Machine Learning, Carnegie Mellon University (CMU) Building a Natural Science of Intelligence 🧠🤖 Prev: ICoN Postdoctoral Fellow @MIT, PhD @Stanford NeuroAILab Personal Website: https://anayebi.github.io/
 Google Scholar: https://scholar.google.com/citations?hl=en&user=zGDaMYAAAAAJ searchable on tfr

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