Blake Bordelon
@frostedblakess.bsky.social
📤 94
📥 33
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Harvard Applied Math PhD student. Neural computation
Theory of trained RNNs that interpolates between the classic chaotic solution and a strongly task-adapted solution. Perhaps the best description of motor cortex is in-between. Great collaboration with
@david-g-clark.bsky.social
,
@jzv.bsky.social
with supervision by the great
@cpehlevan.bsky.social
!
add a skeleton here at some point
3 months ago
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Applying to do a postdoc or PhD in theoretical ML or neuroscience this year? Consider joining my group (starting next Fall) at UT Austin! POD Postdoc:
oden.utexas.edu/programs-and...
CSEM PhD:
oden.utexas.edu/academics/pr...
7 months ago
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Come by at Neurips to hear Hamza present about properties of various feature learning infinite parameter limits of transformer models. Poster in Hall A-C #4804 at 11 AM PST Paper
arxiv.org/abs/2405.15712
, code
github.com/Pehlevan-Gro...
Work with Hamza Chaudhry and
@cpehlevan.bsky.social
over 1 year ago
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