Subspace Locally Competitive Algorithms. - Dylan M. Paiton; Steven Shepard; Kwan Ho Ryan Chan; Bruno A. Olshausen (NICE, 2020)

Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction. - Yaodong Yu; Kwan Ho Ryan Chan; Chong You; Chaobing Song; Yi Ma 001 (NeurIPS, 2020)

Deep Networks from the Principle of Rate Reduction. - Kwan Ho Ryan Chan; Yaodong Yu; Chong You; Haozhi Qi; John Wright 001; Yi Ma 001 (CoRR, 2020)

End-to-End Framework for Imputation and State Discovery in Longitudinal Energy Data. - Alexander Ladd; Kwan Ho Ryan Chan; Sam Nguyen; Jose Cadena; Brenda Ng (e-Energy, 2021)

Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction. - Xili Dai; Shengbang Tong; Mingyang Li; Ziyang Wu; Kwan Ho Ryan Chan; Pengyuan Zhai; Yaodong Yu; Michael Psenka; Xiaojun Yuan 002; Heung-Yeung Shum; Yi Ma 001 (CoRR, 2021)

Efficient Maximal Coding Rate Reduction by Variational Forms. - Christina Baek; Ziyang Wu; Kwan Ho Ryan Chan; Tianjiao Ding; Yi Ma 001; Benjamin D. Haeffele (CVPR, 2022)

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction. - Xili Dai; Shengbang Tong; Mingyang Li; Ziyang Wu; Michael Psenka; Kwan Ho Ryan Chan; Pengyuan Zhai; Yaodong Yu; Xiaojun Yuan 002; Heung-Yeung Shum; Yi Ma 001 (Entropy, 2022)

Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors. - 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; et al. (J. Am. Medical Informatics Assoc., 2022)

ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction. - Kwan Ho Ryan Chan; Yaodong Yu; Chong You; Haozhi Qi; John Wright 001; Yi Ma 001 (J. Mach. Learn. Res., 2022)

Unsupervised Manifold Linearizing and Clustering. - Tianjiao Ding; Shengbang Tong; Kwan Ho Ryan Chan; Xili Dai; Yi Ma 001; Benjamin D. Haeffele (ICCV, 2023)

Variational Information Pursuit for Interpretable Predictions. - Aditya Chattopadhyay; Kwan Ho Ryan Chan; Benjamin David Haeffele; Donald Geman; René Vidal (ICLR, 2023)

Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions. - Kwan Ho Ryan Chan; Aditya Chattopadhyay; Benjamin David Haeffele; René Vidal (CoRR, 2023)

Knowledge Pursuit Prompting for Zero-Shot Multimodal Synthesis. - Jinqi Luo; Kwan Ho Ryan Chan; Dimitris Dimos; René Vidal (CoRR, 2023)

Learning Interpretable Queries for Explainable Image Classification with Information Pursuit. - Stefan Kolek; Aditya Chattopadhyay; Kwan Ho Ryan Chan; Héctor Andrade-Loarca; Gitta Kutyniok; René Vidal (CoRR, 2023)

Contextual Knowledge Pursuit for Faithful Visual Synthesis. - Jinqi Luo; Kwan Ho Ryan Chan; Dimitris Dimos; René Vidal (ECCV Workshops (20), 2024)

Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification. - Aditya Chattopadhyay; Kwan Ho Ryan Chan; René Vidal (ICLR, 2024)

PaCE: Parsimonious Concept Engineering for Large Language Models. - Jinqi Luo; Tianjiao Ding; Kwan Ho Ryan Chan; Darshan Thaker; Aditya Chattopadhyay; Chris Callison-Burch; René Vidal (NeurIPS, 2024)

Do LLMs "know" internally when they follow instructions? - Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Shirley You Ren; Udhay Nallasamy; Andy Miller; Kwan Ho Ryan Chan; Jaya Narain (CoRR, 2024)

Concept Lancet: Image Editing with Compositional Representation Transplant. - Jinqi Luo; Tianjiao Ding; Kwan Ho Ryan Chan; Hancheng Min; Chris Callison-Burch; René Vidal (CVPR, 2025)

Do LLMs "know" internally when they follow instructions? - Juyeon Heo; Christina Heinze-Deml; Oussama Elachqar; Kwan Ho Ryan Chan; Shirley You Ren; Andrew C. Miller; Udhyakumar Nallasamy; Jaya Narain (ICLR, 2025)

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs. - Buyun Liang 001; Kwan Ho Ryan Chan; Darshan Thaker; Jinqi Luo; René Vidal (CoRR, 2025)

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports. - Yuyan Ge; Kwan Ho Ryan Chan; Pablo Messina; René Vidal (CoRR, 2025)

Conformal Information Pursuit for Interactively Guiding Large Language Models. - Kwan Ho Ryan Chan; Yuyan Ge; Edgar Dobriban; Hamed Hassani; René Vidal (CoRR, 2025)