Joon Sik Kim

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Machine Learning

Diagnostic Knowledge

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Joon Sik Kim, Kwangsu Lee, Jong Hwan Park, Hyoseung Kim
Dynamic Threshold Key Encapsulation with a Transparent Setup. IACR Cryptol. ePrint Arch. 2024 (2024)
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
Assisting Human Decisions in Document Matching. Trans. Mach. Learn. Res. 2023 (2023)
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
Assisting Human Decisions in Document Matching. CoRR (2023)
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Interpretable machine learning: moving from mythos to diagnostics. Commun. ACM 65 (8) (2022)
Kwangsu Lee, Joon Sik Kim
A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption. IEEE Access 10 (2022)
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Sanity Simulations for Saliency Methods. ICML (2022)
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
Bayesian Persuasion for Algorithmic Recourse. NeurIPS (2022)
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Interpretable Machine Learning: Moving from mythos to diagnostics. ACM Queue 19 (6) (2021)
Kwangsu Lee, Joon Sik Kim
A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption. IACR Cryptol. ePrint Arch. 2021 (2021)
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Sanity Simulations for Saliency Methods. CoRR (2021)
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
Towards Connecting Use Cases and Methods in Interpretable Machine Learning. CoRR (2021)
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
Bayesian Persuasion for Algorithmic Recourse. CoRR (2021)
Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
Efficient Topological Layer based on Persistent Landscapes. CoRR (2020)
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
Model-Agnostic Characterization of Fairness Trade-offs. CoRR (2020)
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
FACT: A Diagnostic for Group Fairness Trade-offs. ICML (2020)
Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS (2020)
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
Automated Dependence Plots. UAI (2020)
Paul Craig, Yiwen Wang, Joon Sik Kim, Gang Chen, Yu Liu, Jiabei Li, Zhiqiang Gao, Gao Du
Smart Survey Tool: A Multi Device Platform for Museum Visitor Tracking and Tracking Data Visualization. PacificVis (2019)
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
Diagnostic Curves for Black Box Models. CoRR (2019)
Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar
Representer Point Selection for Explaining Deep Neural Networks. CoRR (2018)
Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar
Representer Point Selection for Explaining Deep Neural Networks. NeurIPS (2018)
Joon Sik Kim, Young Kyung Lee, Jieun Eom, Dong Hoon Lee
Recipient Revocable Broadcast Encryption with Dealership. ICISC (2017)
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. ICDM (2016)
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. CoRR (2016)