Chan, Kwan Ho Ryan

14 publications

CVPR 2025 Concept Lancet: Image Editing with Compositional Representation Transplant Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, Rene Vidal
NeurIPS 2025 Conformal Information Pursuit for Interactively Guiding Large Language Models Kwan Ho Ryan Chan, Yuyan Ge, Edgar Dobriban, Hamed Hassani, Rene Vidal
ICLR 2025 Do LLMs ``know'' Internally When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew Miller, Udhyakumar Nallasamy, Jaya Narain
ICCV 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Hector Andrade-Loarca, Gitta Kutyniok, René Vidal
NeurIPS 2025 SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations Buyun Liang, Liangzu Peng, Jinqi Luo, Darshan Thaker, Kwan Ho Ryan Chan, Rene Vidal
ICLR 2024 Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal
ECCVW 2024 Contextual Knowledge Pursuit for Faithful Visual Synthesis Jinqi Luo, Kwan Ho Ryan Chan, Dimitris Dimos, René Vidal
NeurIPSW 2024 Do LLMs Internally ``know'' When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Kwan Ho Ryan Chan, Udhyakumar Nallasamy, Andrew Miller, Jaya Narain
NeurIPS 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
ICCV 2023 Unsupervised Manifold Linearizing and Clustering Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
ICLR 2023 Variational Information Pursuit for Interpretable Predictions Aditya Chattopadhyay, Kwan Ho Ryan Chan, Benjamin David Haeffele, Donald Geman, Rene Vidal
CVPR 2022 Efficient Maximal Coding Rate Reduction by Variational Forms Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
JMLR 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, Yi Ma
NeurIPS 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