
David Sussillo
@sussillodavid
Neural reverse engineer. Research scientist at Meta Reality Labs. Adjunct prof at Stanford. Prev: Google Brain, Stanford postdoc. Milton Hershey Alum.
ID: 800067317702881280
https://scholar.google.com/citations?user=ebBgMSkAAAAJ 19-11-2016 20:04:47
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Did you know that you can parallelize *nonlinear* RNNs over their sequence length!? Our NeurIPS Conference paper "Towards Scalable and Stable Parallelization of nonlinear RNNs," which introduces quasi-DEER and ELK to parallelize ever larger and richer dynamical systems! 🧵 [1/11]
![Scott Linderman (@scott_linderman) on Twitter photo Did you know that you can parallelize *nonlinear* RNNs over their sequence length!? Our <a href="/NeurIPSConf/">NeurIPS Conference</a> paper "Towards Scalable and Stable Parallelization of nonlinear RNNs," which introduces quasi-DEER and ELK to parallelize ever larger and richer dynamical systems! 🧵 [1/11] Did you know that you can parallelize *nonlinear* RNNs over their sequence length!? Our <a href="/NeurIPSConf/">NeurIPS Conference</a> paper "Towards Scalable and Stable Parallelization of nonlinear RNNs," which introduces quasi-DEER and ELK to parallelize ever larger and richer dynamical systems! 🧵 [1/11]](https://pbs.twimg.com/media/Gd1TrUOb0AAHaDC.png)



We also just dropped a new blog that steps through both the the math and the code! Blog: lindermanlab.github.io/hackathons/ Poster: neurips.cc/virtual/2024/p… With my amazing collaborators a.w. , Jimmy Smith , and Scott Linderman




How can we make progress in developing a general model of neural computation rather than a series of disjointed models tied to specific experimental circumstances, ask Eva Dyer and Blake Richards Blake Richards in the latest entry in our NeuroAI series. thetransmitter.org/neuroai/accept…


I'm deeply touched to read Marino Pagan's reflection on our 2013 contextual decision-making study in The Transmitter. Knowing that our work has influenced others' scientific journeys is both humbling and inspiring. 🙏




