Hadi Vafaii
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hadivafaii.bsky.social
Hadi Vafaii
@hadivafaii.bsky.social
Postdoc at UC Berkeley, Redwood Center | 🧠🤖 | 🎹 | 🎾 | https://mysterioustune.com/
This one is an all time favorite of mine:

direct.mit.edu/neco/article...

(tho maybe not that relevant to the "rescue" thing)
Natural Gradient Works Efficiently in Learning
Abstract. When a parameter space has a certain underlying structure, the ordinary gradient of a function does not represent its steepest direction, but the natural gradient does. Information geometry ...
direct.mit.edu
November 24, 2025 at 4:23 PM
💡 The killer insight: biological "quirks" are actually optimal control solutions:

🔷 STDP = solving the LQR cost (learning causal impact from feedback)
🔷 Noise = stabilizing "persistence of excitation"
🔷 ReLU = optimal policy to cross unstable fixed points

Conclusion:
✅ Agency is cellular.

🧠🤖🧠📈
November 21, 2025 at 6:06 AM
Elegant theoretical derivations are exclusive to physics. Right?? Wrong!

In a new preprint, we:
✅ "Derive" a spiking recurrent network from variational principles
✅ Show it does amazing things like out-of-distribution generalization
👉[1/n]🧵

w/ co-lead Dekel Galor & PI @jcbyts.bsky.social

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November 19, 2025 at 4:19 PM
Additional links:

📝 Meeting summary: sensorimotorai.github.io/2025/novembe...
📅 Future meetings: sensorimotorai.github.io/schedule/
💬 Join the conversation on Slack: join.slack.com/t/sensorimot...

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RL Debates 4: Adam “I literally measured value in the brain” Lowet
In our 4th RL Debates presentation, Adam presented broad topics on RL and the brain, including his distributional RL paper.
sensorimotorai.github.io
November 10, 2025 at 3:37 AM
📅 Next meeting: November 6, 9:00 AM PT

Where Adam Lowet will present his paper on distributional RL in brain: nature.com/articles/s41...

- See the full schedule here: sensorimotorai.github.io/schedule/
- Join our Slack: join.slack.com/t/sensorimot...

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An opponent striatal circuit for distributional reinforcement learning - Nature
D1- and D2-expressing striatal neurons encode separate parts of a learned reward distribution, paralleling modern approaches in machine learning.
nature.com
October 23, 2025 at 9:52 PM
Next Thursday (Oct 23) Niels Leadholm from @thousandbrains.org will present.

- See the full schedule here: sensorimotorai.github.io/schedule/

- Join our Slack: join.slack.com/t/sensorimot...

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Schedule
Monthly journal club and RL Debate Series
sensorimotorai.github.io
October 18, 2025 at 6:26 AM
Also, fun fact: Fritz's paper (frontiersin.org/journals/neu...) talks about world modeling in 2013, way before it was cool.

You can hear at 49:01 (youtube.com/watch?v=rlF-...), he's describing an agent that runs an "internal simulation" of the world to decide its next action.
Frontiers | Learning and exploration in action-perception loops
Discovering the structure underlying observed data is a recurring problem in machine learning with important applications in neuroscience. It is also a prima...
frontiersin.org
October 18, 2025 at 6:26 AM
Thank you!
October 17, 2025 at 2:37 AM
Can I also join? I still haven't written a book, but definitely planning to. I've started with blog posts, where I break down difficult technical concepts and make the accessible:

- World Models, Adaptation, and Surprise: bsky.app/profile/hadi...

- Perception as Inference: bsky.app/profile/hadi...
Every living system must adapt, or die.

In my first blog post, I show how this fundamental principle can be mathematized:

✅ Brains adapt, and adaptation is about KL divergence minimization.

Let's unpack the main insights 🧵[1/n]
Link: mysterioustune.com/2025/01/13/w...

🧠🤖🧠📈 #AI
October 16, 2025 at 6:30 PM
Join us on Slack: join.slack.com/t/sensorimot...

More info on our website: sensorimotorai.github.io

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Join Sensorimotor AI on Slack
Slack is a new way to communicate with your team. It’s faster, better organized, and more secure than email.
join.slack.com
October 2, 2025 at 11:31 PM