Insu Choi

According to our database, Insu Choi authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Enhancing Exchange-Traded Fund Price Predictions: Insights from Information-Theoretic Networks and Node Embeddings.

Insu Choi, Woo Chang Kim

Entropy, January, 2024

Unlocking ETF price forecasting: Exploring the interconnections with statistical dependence-based graphs and xAI techniques.

Insu Choi, Woo Chang Kim

Knowl. Based Syst., 2024

Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling.

Insu Choi, Woosung Koh, Bonwoo Koo, Woo Chang Kim

Eng. Appl. Artif. Intell., 2024

Survey and Evaluation of Converging Architecture in LLMs based on Footsteps of Operations.

Seongho Kim, Jihyun Moon, Juntaek Oh, Insu Choi, Joon-Sung Yang

CoRR, 2024

Encoding Temporal Statistical-space Priors via Augmented Representation.

Insu Choi, Woosung Koh, Gimin Kang, Yuntae Jang, Woo Chang Kim

CoRR, 2024

Encoding Temporal Statistical-space Priors via Augmented Representation under Data Scarcity.

Insu Choi, Woosung Koh, Gimin Kang, Yuntae Jang, Woo Chang Kim

Proceedings of the 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

ViT-slice: End-to-end Vision Transformer Accelerator with Bit-slice Algorithm.

Dongjin Shin, Insu Choi, Joon-Sung Yang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

An Iridescent Insights of Statistical Interdependencies of Financial Markets.

Insu Choi, Woo Chang Kim

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

2023

Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series.

Woosung Koh, Insu Choi, Yuntae Jang, Gimin Kang, Woo Chang Kim

CoRR, 2023

PIE-DRAM: Postponing IECC to Enhance DRAM performance with access table.

JaeHwa Jeon, Jae-Youn Hong, Sunghoon Kim, Insu Choi, Joon-Sung Yang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks.

Insu Choi, Jae-Youn Hong, JaeHwa Jeon, Joon-Sung Yang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Bipolar vector classifier for fault-tolerant deep neural networks.

Suyong Lee, Insu Choi, Joon-Sung Yang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Detecting and Analyzing Politically-Themed Stocks Using Text Mining Techniques and Transfer Entropy - Focus on the Republic of Korea's Case.

Insu Choi, Woo Chang Kim

Entropy, 2021

2020

NVDIMM-C: A Byte-Addressable Non-Volatile Memory Module for Compatibility with Standard DDR Memory Interfaces.

Changmin Lee, Wonjae Shin, Dae Jeong Kim, Yongjun Yu, Sung-Joon Kim, Taekyeong Ko, Deokho Seo, Jongmin Park, Kwanghee Lee, Seongho Choi, Namhyung Kim, Vishak G, Arun George, Vishwas V, Donghun Lee, Kang-Woo Choi, Changbin Song, Dohan Kim, Insu Choi, Ilgyu Jung, Yong Ho Song, Jinman Han

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020