From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI. - Roman Beliy; Guy Gaziv; Assaf Hoogi; Francesca Strappini; Tal Golan; Michal Irani (NeurIPS, 2019)

Learning to aggregate feature representations. - Guy Gaziv (CoRR, 2019)

More than meets the eye: Self-supervised depth reconstruction from brain activity. - Guy Gaziv; Michal Irani (CoRR, 2021)

A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity. - Ganit Kupershmidt; Roman Beliy; Guy Gaziv; Michal Irani (CoRR, 2022)

Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity. - Guy Gaziv; Roman Beliy; Niv Granot; Assaf Hoogi; Francesca Strappini; Tal Golan; Michal Irani (NeuroImage, 2022)

Strong and Precise Modulation of Human Percepts via Robustified ANNs. - Guy Gaziv; Michael J. Lee; James J. DiCarlo (NeurIPS, 2023)

Robustified ANNs Reveal Wormholes Between Human Category Percepts. - Guy Gaziv; Michael J. Lee; James J. DiCarlo (CoRR, 2023)

L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement. - Morgan B. Talbot; Gabriel Kreiman; James J. DiCarlo; Guy Gaziv (CoRR, 2024)

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement. - Morgan Bruce Talbot; Gabriel Kreiman; James J. DiCarlo; Guy Gaziv (ICLR, 2025)

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations. - Guy Gaziv; Sarah Goulding; Ani Ayvazian-Hancock; Yoon Bai; James J. DiCarlo (CoRR, 2025)