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Kwan Ho Ryan Chan
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2020 – today
- 2024
- [c7]Aditya Chattopadhyay, Kwan Ho Ryan Chan, René Vidal:
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification. ICLR 2024 - [i11]Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal:
PaCE: Parsimonious Concept Engineering for Large Language Models. CoRR abs/2406.04331 (2024) - 2023
- [c6]Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele:
Unsupervised Manifold Linearizing and Clustering. ICCV 2023: 5427-5438 - [c5]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. ICLR 2023 - [i10]Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele:
Unsupervised Manifold Linearizing and Clustering. CoRR abs/2301.01805 (2023) - [i9]Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin D. Haeffele, Donald Geman, René Vidal:
Variational Information Pursuit for Interpretable Predictions. CoRR abs/2302.02876 (2023) - [i8]Kwan Ho Ryan Chan, Aditya Chattopadhyay, Benjamin David Haeffele, René Vidal:
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. CoRR abs/2308.12562 (2023) - [i7]Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal:
Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis. CoRR abs/2311.17898 (2023) - [i6]Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Héctor Andrade-Loarca, Gitta Kutyniok, René Vidal:
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. CoRR abs/2312.11548 (2023) - 2022
- [j3]Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma:
CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. Entropy 24(4): 456 (2022) - [j2]Braden C. Soper, Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Paul Kiszka, Lucas Aaron Womack, Mark Work, Joan M. Duggan, Steven T. Haller, Jennifer A. Hanrahan, David J. Kennedy, Deepa Mukundan, Priyadip Ray:
Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors. J. Am. Medical Informatics Assoc. 29(5): 864-872 (2022) - [j1]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. J. Mach. Learn. Res. 23: 114:1-114:103 (2022) - [c4]Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR 2022: 490-498 - [i5]Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele:
Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR abs/2204.00077 (2022) - 2021
- [c3]Alexander Ladd, Kwan Ho Ryan Chan, Sam Nguyen, Jose Cadena, Brenda Ng:
End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data. e-Energy 2021: 475-482 - [i4]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. CoRR abs/2105.10446 (2021) - [i3]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:
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. CoRR abs/2111.06636 (2021) - 2020
- [c2]Dylan M. Paiton, Steven Shepard, Kwan Ho Ryan Chan, Bruno A. Olshausen:
Subspace Locally Competitive Algorithms. NICE 2020: 9:1-9:8 - [c1]Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma:
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. NeurIPS 2020 - [i2]Yaodong Yu, Kwan Ho Ryan Chan, Chong You, Chaobing Song, Yi Ma:
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. CoRR abs/2006.08558 (2020) - [i1]Kwan Ho Ryan Chan, Yaodong Yu, Chong You, Haozhi Qi, John Wright, Yi Ma:
Deep Networks from the Principle of Rate Reduction. CoRR abs/2010.14765 (2020)
Coauthor Index
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last updated on 2024-09-13 00:44 CEST by the dblp team
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