output
20182024
most citedScaling and renormalization in high-dimensional regression

8 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cond-mat.dis-nn2024★ 3 cited

Nadaraya-Watson kernel smoothing as a random energy model

Jacob A. Zavatone-Veth, Cengiz Pehlevan

Precise asymptotics have revealed many surprises in high-dimensional regression. These advances, however, have not extended to perhaps the simplest estimator: direct Nadaraya-Watso…

stat.ML2024★ 8 cited

Scaling and renormalization in high-dimensional regression

Alexander Atanasov, Jacob A. Zavatone-Veth, Cengiz Pehlevan

From benign overfitting in overparameterized models to rich power-law scalings in performance, simple ridge regression displays surprising behaviors sometimes thought to be limited…

q-bio.NC2024★ 3 cited

How does the primate brain combine generative and discriminative computations in vision?

Benjamin Peters, James J. DiCarlo, Todd Gureckis +10

Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as we…

cs.CV2021★ 5 cited

What can human minimal videos tell us about dynamic recognition models?

Guy Ben-Yosef, Gabriel Kreiman, Shimon Ullman

In human vision objects and their parts can be visually recognized from purely spatial or purely temporal information but the mechanisms integrating space and time are poorly under…

cs.LG2018★ 1 cited

Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals

Daniel Lopez-Martinez, Ke Peng, Sarah C. Steele +3

Currently there is no validated objective measure of pain. Recent neuroimaging studies have explored the feasibility of using functional near-infrared spectroscopy (fNIRS) to measu…