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Kwan Ho Ryan Chan

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Learning Interpretable Queries for Explainable Image Classification with Information Pursuit

Dec 16, 2023
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Hector Andrade-Loarca, Gitta Kutyniok, Réne Vidal

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Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis

Nov 30, 2023
Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal

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Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions

Aug 24, 2023
Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, Rene Vidal

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Variational Information Pursuit for Interpretable Predictions

Feb 16, 2023
Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal

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Unsupervised Manifold Linearizing and Clustering

Jan 04, 2023
Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

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Efficient Maximal Coding Rate Reduction by Variational Forms

Mar 31, 2022
Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

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Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction

Nov 12, 2021
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung Yeung Shum, Yi Ma

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ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction

Jun 10, 2021
Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma

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