Jeffrey Seely
@jeffreyseely
research @SakanaAILabs 🐠
Submissions for papers and artworks are open until August 2 for the #CreativeAI Track at @NeurIPSConf! Whether you're an academic, artist, or a bit of both, we'd love to see your work!
We just opened the submissions portal for the #CreativeAI Track at @NeurIPSConf 🥳 🤖 Submit papers and art until 2nd August Details: bit.ly/NeurIPSCreativ… cc @marcelocoelho @priyascape @alanyttian #NeurIPS2025
this one page from @stevenstrogatz has ripple effects across entire academic careers (good ripples of course)
I'll be at ICML next week, presenting our paper on Wasserstein Policy Optimization on Tuesday! If you're in Vancouver, come say hi!
fundamentally new ideas require achieving equivalence class escape velocity
If you are interested in this topic, you might like my related paper, called "Simplicial Hopefield networks" with Tomoki Fukai, which also showed some theoretical results for why this type of network should be better, can be further expanded upon, and also made more efficient.
the paper title snowclone that didn't quite catch on... arxiv.org/abs/2202.09357
Learning where to look, learning what to see. Work on Continuous Thought Machines continues to be exciting! As a teaser, take a look at our approach to "Foveated Active Vision". Check it out 👇 (details in the thread) pub.sakana.ai/ctm
math book covers >>> other book covers
Among all the supervised learning algorithms, BP is probably the most wi(l)dely used. - @ylecun 1988
