Bundled interventions for consumption management and monitoring of personal protective equipment in COVID-19 pandemic in Hong Kong local hospitals von Kwan, Wai-Man, Mok, Chun-Keung, Kwok, Yick-Ting, Lam, Hon-Wai, Chan, Kwan-Ho, Law, Tat-Hong Samuel, Leung, Pik-Man, Mak, Man-Yu, Que, Tak-Lun, Tang, Yiu-Hang

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CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction von Dai, Xili, Tong, Shengbang, Li, Mingyang, Wu, Ziyang, Psenka, Michael, Chan, Kwan Ho Ryan, Zhai, Pengyuan, Yu, Yaodong, Yuan, Xiaojun, Shum, Heung-Yeung, Ma, Yi

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Chinese herbal medicine treatment based on subgroup differentiation as adjunct therapy for Parkinson's disease: study protocol of a pilot add-on, randomised, controlled, pragmatic... von Yuen, Sam Chun Sum, Chua, Ka Kit, Zhong, Linda L D, Chan, Kam Wa, Chan, Conrad Kwan Ho, Chan, Kam Leung, Lin, Zhixiu, Mok, Vincent, Lau, Alexander Y, Li, Min

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COVID‐19 outcomes in patients with cancer: Findings from the University of California health system database von Kwon, Daniel H., Cadena, Jose, Nguyen, Sam, Chan, Kwan Ho Ryan, Soper, Braden, Gryshuk, Amy L., Hong, Julian C., Ray, Priyadip, Huang, Franklin W.

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Dynamic modeling of hospitalized COVID-19 patients reveals disease state–dependent risk factors von Soper, Braden C, Cadena, Jose, Nguyen, Sam, Chan, Kwan Ho Ryan, Kiszka, Paul, Womack, Lucas, Work, Mark, Duggan, Joan M, Haller, Steven T, Hanrahan, Jennifer A, Kennedy, David J, Mukundan, Deepa, Ray, Priyadip

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Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction von Dai, Xili, Tong, Shengbang, Li, Mingyang, Wu, Ziyang, Psenka, Michael, Kwan Ho Ryan Chan, Zhai, Pengyuan, Yu, Yaodong, Yuan, Xiaojun, Heung Yeung Shum, Ma, Yi

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Contextual Knowledge Pursuit for Faithful Visual Synthesis von Luo, Jinqi, Chan, Kwan Ho Ryan, Dimos, Dimitris, Vidal, René

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Waste bag dispenser case von Bruce, Shawn, Chan, Ho Kwan

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Waste bag dispenser von Bruce, Shawn, Chan, Ho Kwan

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Learning Interpretable Queries for Explainable Image Classification with Information Pursuit von Kolek, Stefan, Chattopadhyay, Aditya, Chan, Kwan Ho Ryan, Andrade-Loarca, Hector, Kutyniok, Gitta, Vidal, Réne

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Do LLMs "know" internally when they follow instructions? von Heo, Juyeon, Heinze-Deml, Christina, Elachqar, Oussama, Ren, Shirley, Nallasamy, Udhay, Miller, Andy, Chan, Kwan Ho Ryan, Narain, Jaya

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Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions von Chan, Kwan Ho Ryan, Chattopadhyay, Aditya, Haeffele, Benjamin David, Vidal, Rene

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PaCE: Parsimonious Concept Engineering for Large Language Models von Luo, Jinqi, Ding, Tianjiao, Chan, Kwan Ho Ryan, Thaker, Darshan, Chattopadhyay, Aditya, Callison-Burch, Chris, Vidal, René

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Variational Information Pursuit for Interpretable Predictions von Chattopadhyay, Aditya, Chan, Kwan Ho Ryan, Haeffele, Benjamin D, Geman, Donald, Vidal, René

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Unsupervised Manifold Linearizing and Clustering von Ding, Tianjiao, Tong, Shengbang, Chan, Kwan Ho Ryan, Dai, Xili, Ma, Yi, Haeffele, Benjamin D

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Efficient Maximal Coding Rate Reduction by Variational Forms von Baek, Christina, Wu, Ziyang, Chan, Kwan Ho Ryan, Ding, Tianjiao, Ma, Yi, Haeffele, Benjamin D

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ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction von Chan, Kwan Ho Ryan, Yu, Yaodong, You, Chong, Qi, Haozhi, Wright, John, Ma, Yi

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Deep Networks from the Principle of Rate Reduction von Chan, Kwan Ho Ryan, Yu, Yaodong, You, Chong, Qi, Haozhi, Wright, John, Ma, Yi

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Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction von Yu, Yaodong, Chan, Kwan Ho Ryan, You, Chong, Song, Chaobing, Ma, Yi

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Suture anchor von Fallin, T. Wade, Murphy, James, White, Patrick M, Chan, Kwan-Ho

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