Chanwoo Kim

According to our database, Chanwoo Kim authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models.

Mingyu Lu, Soham Gadgil, Chris Lin, Chanwoo Kim, Su-In Lee

CoRR, January, 2026

2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor

CoRR, October, 2025

CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning.

Mingyu Lu, Ethan Weinberger, Chanwoo Kim, Su-In Lee

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

An Efficient Framework for Crediting Data Contributors of Diffusion Models.

Mingyu Lu, Chris Lin, Chanwoo Kim, Su-In Lee

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Efficient Shapley Values for Attributing Global Properties of Diffusion Models to Data Group.

Chris Lin, Mingyu Lu, Chanwoo Kim, Su-In Lee

CoRR, 2024

Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution.

Ian Covert, Chanwoo Kim, Su-In Lee, James Y. Zou, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Contrastive Corpus Attribution for Explaining Representations.

Chris Lin, Hugh Chen, Chanwoo Kim, Su-In Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Estimate Shapley Values with Vision Transformers.

Ian Connick Covert, Chanwoo Kim, Su-In Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023