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ORCIDJoon Sik Kim
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2020 – today
- 2024
[i11]Joon Sik Kim, Kwangsu Lee, Jong Hwan Park, Hyoseung Kim:
Dynamic Threshold Key Encapsulation with a Transparent Setup. IACR Cryptol. ePrint Arch. 2024: 1311 (2024)- 2023
- [j4]Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar:
Assisting Human Decisions in Document Matching. Trans. Mach. Learn. Res. 2023 (2023) - [i10]Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar:
Assisting Human Decisions in Document Matching. CoRR abs/2302.08450 (2023) - 2022
- [j3]Kwangsu Lee
, Joon Sik Kim:
A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption. IEEE Access 10: 44178-44199 (2022) - [j2]Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar:
Interpretable machine learning: moving from mythos to diagnostics. Commun. ACM 65(8): 43-50 (2022) - [c9]Joon Sik Kim, Gregory Plumb, Ameet Talwalkar:
Sanity Simulations for Saliency Methods. ICML 2022: 11173-11200 - [c8]Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu:
Bayesian Persuasion for Algorithmic Recourse. NeurIPS 2022 - 2021
- [j1]Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar:
Interpretable Machine Learning: Moving from mythos to diagnostics. ACM Queue 19(6): 28-56 (2021) - [i9]Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar:
Towards Connecting Use Cases and Methods in Interpretable Machine Learning. CoRR abs/2103.06254 (2021) - [i8]Joon Sik Kim, Gregory Plumb, Ameet Talwalkar:
Sanity Simulations for Saliency Methods. CoRR abs/2105.06506 (2021) - [i7]Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu:
Bayesian Persuasion for Algorithmic Recourse. CoRR abs/2112.06283 (2021) - [i6]Kwangsu Lee, Joon Sik Kim:
A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption. IACR Cryptol. ePrint Arch. 2021: 502 (2021) - 2020
- [c7]Joon Sik Kim, Jiahao Chen, Ameet Talwalkar:
FACT: A Diagnostic for Group Fairness Trade-offs. ICML 2020: 5264-5274 - [c6]Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
PLLay: Efficient Topological Layer based on Persistent Landscapes. NeurIPS 2020 - [c5]David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar:
Automated Dependence Plots. UAI 2020: 1238-1247 - [i5]Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman:
Efficient Topological Layer based on Persistent Landscapes. CoRR abs/2002.02778 (2020) - [i4]Joon Sik Kim, Jiahao Chen, Ameet Talwalkar:
Model-Agnostic Characterization of Fairness Trade-offs. CoRR abs/2004.03424 (2020)
2010 – 2019
- 2019
- [c4]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: 267-276 - [i3]David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar:
Diagnostic Curves for Black Box Models. CoRR abs/1912.01108 (2019) - 2018
- [c3]Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar:
Representer Point Selection for Explaining Deep Neural Networks. NeurIPS 2018: 9311-9321 - [i2]Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar:
Representer Point Selection for Explaining Deep Neural Networks. CoRR abs/1811.09720 (2018) - 2017
- [c2]Joon Sik Kim, Young Kyung Lee, Jieun Eom, Dong Hoon Lee:
Recipient Revocable Broadcast Encryption with Dealership. ICISC 2017: 214-228 - 2016
- [c1]Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue:
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. ICDM 2016: 1179-1184 - [i1]Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue:
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. CoRR abs/1609.07495 (2016)
Coauthor Index
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last updated on 2024-09-04 01:22 CEST by the dblp team
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