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2020 – today
- 2024
[i5]Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret S. Livingstone, Gabriel Kreiman:
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. CoRR abs/2406.16935 (2024)- 2022
- [j2]Mengmi Zhang
, Marcelo Armendáriz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman:
Look twice: A generalist computational model predicts return fixations across tasks and species. PLoS Comput. Biol. 18(11): 1010654 (2022) - 2021
- [i4]Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman:
Look Twice: A Computational Model of Return Fixations across Tasks and Species. CoRR abs/2101.01611 (2021) - 2020
- [j1]Will Xiao, Gabriel Kreiman:
XDream: Finding preferred stimuli for visual neurons using generative networks and gradient-free optimization. PLoS Comput. Biol. 16(6) (2020) - [i3]Li Yuan, Will Xiao, Gabriel Kreiman, Francis E. H. Tay, Jiashi Feng, Margaret S. Livingstone:
Adversarial images for the primate brain. CoRR abs/2011.05623 (2020)
2010 – 2019
- 2019
- [c1]Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio:
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets. ICLR (Poster) 2019 - [i2]Will Xiao, Gabriel Kreiman:
Gradient-free activation maximization for identifying effective stimuli. CoRR abs/1905.00378 (2019) - 2018
- [i1]Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio:
Biologically-plausible learning algorithms can scale to large datasets. CoRR abs/1811.03567 (2018)
Coauthor Index
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