Dan Yamins
CS / Psych / Neuro Prof @ Stanford. Interested in NeuroAI and Bach. And Bonsai.
- Reposted by Dan YaminsHear @dyamins.bsky.social and yours truly discuss causality and ml: x.com/kordinglab/s..., www.youtube.com/watch?v=R-54...
- Here is our best thinking about how to make world models. I would apologize for it being a massive 40-page behemoth, but it's worth reading. arxiv.org/pdf/2509.09737
- Lots of people are pinging me re PhD applications lately, here is what I tell them. I accept PhD students through: (1) CS (tinyurl.com/4azymrbu Comp Cog Neuro track), (2) Psychology tinyurl.com/4v7793tz and (3) Neuro tinyurl.com/ycx658h9. Good luck!
- Hey come to our workshop if you're at CCN this year! neuroailab.github.io/modeling-the...
- This looks like it will be fun data-brain-mind.github.io Neurips '25
- It was a steep climb in the "early days" (~2012) up the ImageNet gradient towards better visual system models. That tapped out ~2015 after resnet ... But now w/ video models starting to perform, we can push forward again. Task-driven brain models ftw. amazing... @mschrimpf.bsky.social
- 🧠 NEW PREPRINT Many-Two-One: Diverse Representations Across Visual Pathways Emerge from A Single Objective www.biorxiv.org/content/10.1...
- Reposted by Dan Yamins🚀 New Open-Source Release! PyTorchTNN 🚀 A PyTorch library for biologically-inspired temporal neural nets: unrolling computation through time. Integrates with our recent Encoder-Attender-Decoder, which flexibly combines models (Transformer, SSM, RNN) since no single one fits all sequence tasks. 🧵👇
- Do science folks basically post the same thing here as on Twitter?? Is that the best practice? (I feel very underpowered/ underprepared) when it comes to science social media.
