Testing for context-dependent changes in neural encoding in naturalistic experiments. - Yenho Chen; Carl W. Harris; Xiaoyu Ma; Zheng Li; Francisco Pereira 001; Charles Y. Zheng (CoRR, 2022)

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-Guided Self-masking. - Yuheng Li; Tianyu Luan; Yizhou Wu; Shaoyan Pan; Yenho Chen; Xiaofeng Yang 005 (ECCV (60), 2024)

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics. - Yenho Chen; Noga Mudrik; Kyle A. Johnsen; Sankaraleengam Alagapan; Adam S. Charles; Christopher Rozell (NeurIPS, 2024)

AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking. - Yuheng Li; Tianyu Luan; Yizhou Wu; Shaoyan Pan; Yenho Chen; Xiaofeng Yang (CoRR, 2024)

MANGO: Disentangled Image Transformation Manifolds with Grouped Operators. - Brighton Ancelin; Yenho Chen; Peimeng Guan; Chiraag Kaushik; Belen Martin-Urcelay; Alex Saad-Falcon; Nakul Singh (CoRR, 2024)

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics. - Noga Mudrik; Yenho Chen; Eva Yezerets; Christopher J. Rozell; Adam S. Charles (J. Mach. Learn. Res., 2024)

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability. - Noga Mudrik; Eva Yezerets; Yenho Chen; Christopher John Rozell; Adam Shabti Charles (Trans. Mach. Learn. Res., 2024)