Charles Y. Zheng

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 14

Top Topics

High Dimensional

Brain Segmentation

Classification Error

Top Venues

Frontiers Neuroinformatics

Publications

Yenho Chen, Carl W. Harris, Xiaoyu Ma, Zheng Li, Francisco Pereira, Charles Y. Zheng
Testing for context-dependent changes in neural encoding in naturalistic experiments. CoRR (2022)
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
VICE: Variational Interpretable Concept Embeddings. NeurIPS (2022)
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
VICE: Variational Interpretable Concept Embeddings. CoRR (2022)
Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart
Revealing interpretable object representations from human behavior. CoRR (2019)
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks. Frontiers Neuroinformatics 13 (2019)
Hua Xie, Charles Y. Zheng, Daniel A. Handwerker, Peter A. Bandettini, Vince D. Calhoun, Sunanda Mitra, Javier Gonzalez-Castillo
Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information. NeuroImage 188 (2019)
Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart
Revealing interpretable object representations from human behavior. ICLR (Poster) (2019)
Patrick McClure, Nao Rho, John A. Lee, Jakub R. Kaczmarzyk, Charles Y. Zheng, Satrajit S. Ghosh, Dylan Nielson, Adam G. Thomas, Peter A. Bandettini, Francisco Pereira
Knowing what you know in brain segmentation using deep neural networks. CoRR (2018)
Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini
Extrapolating Expected Accuracies for Large Multi-Class Problems. J. Mach. Learn. Res. 19 (2018)
Patrick McClure, Charles Y. Zheng, Jakub Kaczmarzyk, John Rogers-Lee, Satrajit S. Ghosh, Dylan Nielson, Peter A. Bandettini, Francisco Pereira
Distributed Weight Consolidation: A Brain Segmentation Case Study. NeurIPS (2018)
Patrick McClure, Charles Y. Zheng, Francisco Pereira, Jakub Kaczmarzyk, John Rogers-Lee, Dylan Nielson, Peter A. Bandettini
Parallel Weight Consolidation: A Brain Segmentation Case Study. CoRR (2018)
Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini
Extrapolating Expected Accuracies for Large Multi-Class Problems. CoRR (2017)
Charles Y. Zheng, Yuval Benjamini
Estimating mutual information in high dimensions via classification error. CoRR (2016)
Charles Y. Zheng, Rakesh Achanta, Yuval Benjamini
How many faces can be recognized? Performance extrapolation for multi-class classification. CoRR (2016)
Charles Y. Zheng, Franco Pestilli, Ariel Rokem
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain. NIPS (2014)