Biologically-Plausible Learning Algorithms Can Scale to Large Datasets. - Will Xiao; Honglin Chen; Qianli Liao; Tomaso A. Poggio (ICLR (Poster), 2019)

Gradient-free activation maximization for identifying effective stimuli. - Will Xiao; Gabriel Kreiman (CoRR, 2019)

Adversarial images for the primate brain. - Li Yuan 007; Will Xiao; Gabriel Kreiman; Francis E. H. Tay; Jiashi Feng; Margaret S. Livingstone (CoRR, 2020)

XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization. - Will Xiao; Gabriel Kreiman (PLoS Comput. Biol., 2020)

Look Twice: A Computational Model of Return Fixations across Tasks and Species. - Mengmi Zhang; Will Xiao; Olivia Rose; Katarina Bendtz; Margaret S. Livingstone; Carlos R. Ponce; Gabriel Kreiman (CoRR, 2021)

Look twice: A generalist computational model predicts return fixations across tasks and species. - Mengmi Zhang; Marcelo Armendáriz; Will Xiao; Olivia Rose; Katarina Bendtz; Margaret S. Livingstone; Carlos R. Ponce; Gabriel Kreiman (PLoS Comput. Biol., 2022)

Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. - Spandan Madan; Will Xiao; Mingran Cao; Hanspeter Pfister; Margaret S. Livingstone; Gabriel Kreiman (NeurIPS, 2024)