Preston Hess

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Preston Hess

Preston Hess

@phess002

BCS PhD @ MIT | Auditory perception + deep learning | Turning noise into signal

Cambridge, MA Katılım Nisan 2018
295 Takip Edilen248 Takipçiler
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Preston Hess
Preston Hess@phess002·
Just published my first ever blog post about @ianmgriffith @JoshHMcDermott and I's recent paper on the cocktail party problem and brain-inspired auditory attention models. Would love any feedback if you check it out! (link in replies)
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McGovern Institute
McGovern Institute@mcgovernmit·
What happens when a former MIT football captain who majored in computation and cognition + minored in design and music comes to McGovern @mitbrainandcog for his PhD? He builds a speaker room that solves the "cocktail party" problem, of course. 💥
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Akarsh Kumar
Akarsh Kumar@akarshkumar0101·
We never really knew how to train nonlinear RNNs well… BPTT struggled with vanishing grads (no long-range memory) and sequential rollout (hard to parallelizable). What if instead an oracle told us the optimal memory state m_t at each step? Then the RNN could do one-step supervised learning on (m_t, x_{t+1}) → m_{t+1} labels. We call this Supervised Memory Training (SMT): a replacement for BPTT that trains RNNs without unrolling them. SMT is time-parallelizable and solves vanishing gradients. Website: akarshkumar.com/smt/ arXiv: arxiv.org/abs/2606.06479
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Sophie Wang
Sophie Wang@SophieLWang·
"The Truth Lies Somewhere in the Middle (of the Generated Tokens)" In autoregressive language models, mean pooling hidden states across generation yields better representations than any token alone. project page: sophielwang.com/tokens w/ @phillip_isola and @thisismyhat
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Preston Hess
Preston Hess@phess002·
Just published my first ever blog post about @ianmgriffith @JoshHMcDermott and I's recent paper on the cocktail party problem and brain-inspired auditory attention models. Would love any feedback if you check it out! (link in replies)
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Preston Hess
Preston Hess@phess002·
Can a simple architectural bias produce human-like selective attention? We trained a network with multiplicative feature gains from an attention cue and found it reproduces many cocktail party effects, and even predicts new ones! Loved on working on this with @ianmgriffith
Josh McDermott@JoshHMcDermott

Excited to announce a new paper from our lab, by Ian Griffith @ianmgriffith with help from Preston Hess @phess2, introducing a model of attentional selection. nature.com/articles/s4156… @mitbcs @ScienceMIT @mcgovernmit @SHBTHarvard Here is a summary. (1/n)

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Josh McDermott
Josh McDermott@JoshHMcDermott·
New pre-print from our lab, by Lakshmi Govindarajan @lakshming92 with help from Sagarika Alavilli, introducing a new type of model for studying sensory uncertainty. biorxiv.org/content/10.110… Here is a summary. (1/n)
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Reece Shuttleworth
Reece Shuttleworth@ReeceShuttle·
🧵 LoRA vs full fine-tuning: same performance ≠ same solution. Our NeurIPS ‘25 paper 🎉shows that LoRA and full fine-tuning, even when equally well fit, learn structurally different solutions and that LoRA forgets less and can be made even better (lesser forgetting) by a simple intervention! Read on for behavioral differences (forgetting, continual learning) and other analysis! Paper: arxiv.org/pdf/2410.21228 (1/7)
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Phillip Isola
Phillip Isola@phillip_isola·
Over the past year, my lab has been working on fleshing out theory/applications of the Platonic Representation Hypothesis. Today I want to share two new works on this topic: Eliciting higher alignment: arxiv.org/abs/2510.02425 Unpaired rep learning: arxiv.org/abs/2510.08492 1/9
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William Pujals
William Pujals@willpujals3·
I am very excited to announce my commitment to Hope College to continue my academic and athletic career! Thank you to everyone who has helped me along the way.
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Preston Hess
Preston Hess@phess002·
@_therealnimer Sorry Jack, I actually have an eFree right now. Didn’t mean to distract you
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Jack Nimesheim
Jack Nimesheim@JackNimesheim·
@phess002 how did you like my tweet just now? You’re supposed to be in eLearning period 8 right now. Stop distracting me from my work
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Preston Hess
Preston Hess@phess002·
As of this Wednesday I am officially signed! I’m so blessed to have the support and love of everyone who helped me along the way. I want to especially thank my Coaches, Family, and Teammates. Go Engineers! @LAFootballAC @Coach_Brennan @bbubna @MITFootball
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