Jacob Prince @_jacobprince_
4th-year PhD candidate studying neuroAI @ Harvard with @talia_konkle and @grez72. Vision, DNNs, fMRI, behavior. Previously @TarrLab, CMU. Avid musician 🎹 jacob-prince.github.io Cambridge, MA Joined May 2019-
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Jacob Prince retweeted
Check out @fenildoshi009's work! Love the 20° tuning finding: models finetuned at this curvature generalize to unseen curvatures, rediscovering the old Geisler results from visual neuroscience! 👀
Check out @fenildoshi009's work! Love the 20° tuning finding: models finetuned at this curvature generalize to unseen curvatures, rediscovering the old Geisler results from visual neuroscience! 👀
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Jacob Prince retweeted
🧵 Can a purely feedforward network — with no recurrence or lateral connections — capture human-like perceptual organization? 🤯 Yes! Especially for contour integration, and we pinpoint the key inductive biases. New paper in @PLOSCompBiol with @talia_konkle & @grez72! 1/24
Jacob Prince retweeted
Humans largely learn language through speech. In contrast, most LLMs learn from pre-tokenized text. In our #Interspeech2025 paper, we introduce AuriStream: a simple, causal model that learns phoneme, word & semantic information from speech. Poster P6, Aug 19 at 13:30, Foyer 2.2!
Jacob Prince retweeted
Can't wait for #CCN2025! Drop by to say hi to me / collaborators! @bkhmsi @yingtian80536 @NeuroTaha @ABosselut @martin_schrimpf @devarda_a @saima_mm @ev_fedorenko @elizj_lee @cvnlab
Jacob Prince retweeted
Chatted with Le Monde about interpretability and sparse autoencoders. (Yes, SAE made it into mainstream news 😅) lemonde.fr/pixels/article… Merci à Nicolas Six pour l’échange !
Jacob Prince retweeted
Why do video models handle motion so poorly? It might be lack of motion equivariance. Very excited to introduce: Flow Equivariant RNNs (FERNNs), the first sequence models to respect symmetries over time. Paper: arxiv.org/abs/2507.14793 Blog: kempnerinstitute.harvard.edu/research/deepe… 1/🧵
Jacob Prince retweeted
Very excited to be joining the Kempner Institute this fall—and to be part of this amazing cohort and the broader Kempner/Harvard community! Please don’t hesitate to get in touch!
Very excited to be joining the Kempner Institute this fall—and to be part of this amazing cohort and the broader Kempner/Harvard community! Please don’t hesitate to get in touch!
Jacob Prince retweeted
🧠 Submit to CogInterp @ NeurIPS 2025! Bridging AI & cognitive science to understand how models think, reason & represent. CFP + details 👉 coginterp.github.io/neurips2025/
🧠 Submit to CogInterp @ NeurIPS 2025! Bridging AI & cognitive science to understand how models think, reason & represent. CFP + details 👉 coginterp.github.io/neurips2025/
Jacob Prince retweeted
📢 We're thrilled to announce that the UniReps workshop will return to @NeurIPSConf 25 for its 3rd edition! 🔵Check our new Call for Papers at: unireps.org/2025/call-for-… 🔴Submit your work (Proceedings or Extended Abstracts) at: openreview.net/group?id=NeurI… See you in San Diego!🌴🇺🇸
Jacob Prince retweeted
Check out this amazing work by @fenildoshi009 on shape holistic processing in vision models! 🍀
Check out this amazing work by @fenildoshi009 on shape holistic processing in vision models! 🍀
Jacob Prince retweeted
🧵 What if two images have the same local parts but represent different global shapes purely through part arrangement? Humans can spot the difference instantly! The question is can vision models do the same? 1/15
Jacob Prince retweeted
The Kempner Institute congratulates its research fellows Isabel Papadimitriou (@isabelpapad) and Jenn Hu (@_jennhu) for their faculty appointments (@UBCLinguistics & @JHUCogSci) and celebrates their innovative research. Read more here: bit.ly/448heBy #AI #LLMs
Jacob Prince retweeted
What shapes the topography of high-level visual cortex? Excited to share a new pre-print addressing this question with connectivity-constrained interactive topographic networks, titled "Retinotopic scaffolding of high-level vision", w/ Marlene Behrmann & David Plaut. 🧵 ↓ 1/n
Jacob Prince retweeted
This workshop is going to be properly epic...very honored to be included among the speakers
This workshop is going to be properly epic...very honored to be included among the speakers
Jacob Prince retweeted
What are the organizing dimensions of language processing? We show that voxel responses are organized along 2 main axes: processing difficulty & meaning abstractness—revealing an interpretable, topographic representational basis for language processing shared across individuals.
Jacob Prince retweeted
If you're attending #vss2025, come check out these presentations by members of the Kempner community! #neuroscience #neuroAI #AI #ML
Jacob Prince retweeted
New paper!🧠**The cerebellar components of the human language network** with: @smallhannahe @MoshePoliak @GretaTuckute @ben_lipkin @agata_wolna @aniladmello and @ev_fedorenko biorxiv.org/content/10.110… 1/n 🧵
Jacob Prince retweeted
New preprint! Excited to share our latest work “Accelerated learning of a noninvasive human brain-computer interface via manifold geometry” ft. outstanding former UG Chandra Fincke, @g_lajoie_ , @KrishnaswamyLab, & @WuTsaiYale's Nick Turk-Browne 1/8 doi.org/10.1101/2025.0…
Jacob Prince retweeted
NEW in the #KempnerInstitute blog: Want consistent & stable #SAE concepts across training runs? Archetypal SAE anchors concepts in the real data’s convex hull and delivers consistent & stable dictionaries! Read the blog: bit.ly/4kEAJZN
Jacob Prince retweeted
I think this method is quite important for interpretability research, and for understanding learned representations. Hats off to Thomas Fel and team!
I think this method is quite important for interpretability research, and for understanding learned representations. Hats off to Thomas Fel and team!
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