Joon Sik Kim

According to our database, Joon Sik Kim authored at least 16 papers between 2016 and 2023.

Collaborative distances:

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

2023

Assisting Human Decisions in Document Matching.

Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar

CoRR, 2023

2022

Interpretable machine learning: moving from mythos to diagnostics.

Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

Commun. ACM, 2022

A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption.

Kwangsu Lee, Joon Sik Kim

IEEE Access, 2022

Bayesian Persuasion for Algorithmic Recourse.

Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sanity Simulations for Saliency Methods.

Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

Proceedings of the International Conference on Machine Learning, 2022

2021

Towards Connecting Use Cases and Methods in Interpretable Machine Learning.

Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar

CoRR, 2021

2020

Model-Agnostic Characterization of Fairness Trade-offs.

Joon Sik Kim, Jiahao Chen, Ameet Talwalkar

CoRR, 2020

Efficient Topological Layer based on Persistent Landscapes.

Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman

CoRR, 2020

Automated Dependence Plots.

David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

PLLay: Efficient Topological Layer based on Persistent Landscapes.

Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

FACT: A Diagnostic for Group Fairness Trade-offs.

Joon Sik Kim, Jiahao Chen, Ameet Talwalkar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Diagnostic Curves for Black Box Models.

David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar

CoRR, 2019

Smart Survey Tool: A Multi Device Platform for Museum Visitor Tracking and Tracking Data Visualization.

Paul Craig, Yiwen Wang, Joon Sik Kim, Gang Chen, Yu Liu, Jiabei Li, Zhiqiang Gao, Gao Du

Proceedings of the IEEE Pacific Visualization Symposium, 2019

2018

Representer Point Selection for Explaining Deep Neural Networks.

Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Recipient Revocable Broadcast Encryption with Dealership.

Joon Sik Kim, Young Kyung Lee, Jieun Eom, Dong Hoon Lee

Proceedings of the Information Security and Cryptology - ICISC 2017 - 20th International Conference, Seoul, South Korea, November 29, 2017

2016

A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.

Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue

Proceedings of the IEEE 16th International Conference on Data Mining, 2016