Simons Institute for the Theory of Computing

@SimonsInstitute

The world's leading venue for collaborative research in theoretical computer science. Follow us at YouTube.com/SimonsInstitute.

Berkeley, CA

simons.berkeley.edu

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Simons Institute for the Theory of Computing
@SimonsInstitute
6h
We invite your project proposals for Circles, the Simons Institute – Jane Street Small Group Collaborations, which supports groups of 3–6 researchers for 4 weeklong gatherings over 2 years. Apply by Oct. 15 (deadline extended). simons.berkeley.edu/participate/ci…
Simons Institute for the Theory of Computing
@SimonsInstitute
Sep 21
1/5 The case for diffusion language models: "A lot of the [early] gains in language modeling performance have come from scaling pre-training...[the training algorithm] was designed to be very parallelizable across GPUs," said @volokuleshov of @Cornell at the Simons Institute
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Simons Institute for the Theory of Computing
@SimonsInstitute
Aug 31
1/5 Imagine taking an fMRI scan of the brain of a person viewing an image, and reconstructing what the person saw from the fMRI alone. That's Brain-IT. "This is state-of-the-art image decoding from fMRI," said Michal Irani (@WeizmannScience), at the Simons Institute.
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Simons Institute for the Theory of Computing
@SimonsInstitute
Aug 25
1/3 From task-specific neural data to foundation models. In neuroscience, studying the neural activity of some behavior in an animal only gives us "a snapshot of the full activity that might be present across the brain," said Eva Dyer of @Penn at the Simons Institute.
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Simons Institute for the Theory of Computing
@SimonsInstitute
Aug 20
The Dark Matter of Neuroscience. For decades, "neuroscience didn't have much to say about two people...in a dynamical interaction," said Guillaume Dumas (@introspection) of @Mila_Quebec at the Simons Institute workshop on Topics in Intelligence: World Models and Social Reasoning
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