Jaesik Choi

Jaesik Choi

KAIST

H-index: 24

Asia-South Korea

About Jaesik Choi

Jaesik Choi, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at KAIST, specializes in the field of Explainable AI, XAI, Prediction, Time Series Analysis, Relational Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Capsule Neural Networks as Noise Stabilizer for Time Series Data

CardioCaps: Attention-Based Capsule Network for Class-Imbalanced Echocardiogram Classification

Explainable artificial intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

SigFormer: Signature Transformers for Deep Hedging

Variational curriculum reinforcement learning for unsupervised discovery of skills

Jaesik Choi Information

University

Position

Associate Professor at

Citations(all)

3230

Citations(since 2020)

2383

Cited By

1277

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

44

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Jaesik Choi Skills & Research Interests

Explainable AI

XAI

Prediction

Time Series Analysis

Relational Learning

Top articles of Jaesik Choi

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Jaesik Choi
Jaesik Choi

H-Index: 17

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

Jungmin Kim
Jungmin Kim

H-Index: 1

Jaesik Choi
Jaesik Choi

H-Index: 17

Capsule Neural Networks as Noise Stabilizer for Time Series Data

arXiv preprint arXiv:2403.13867

2024/3/20

Soyeon Kim
Soyeon Kim

H-Index: 2

Jaesik Choi
Jaesik Choi

H-Index: 17

CardioCaps: Attention-Based Capsule Network for Class-Imbalanced Echocardiogram Classification

2024/2/18

Jaesik Choi
Jaesik Choi

H-Index: 17

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

Advances in Neural Information Processing Systems

2024/2/13

Jaesik Choi
Jaesik Choi

H-Index: 17

SigFormer: Signature Transformers for Deep Hedging

2023/10/20

Variational curriculum reinforcement learning for unsupervised discovery of skills

arXiv preprint arXiv:2310.19424

2023/10/30

Jaesik Choi
Jaesik Choi

H-Index: 17

CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports

arXiv preprint arXiv:2310.16095

2023/10/24

Towards Dynamic Trend Filtering through Trend Points Detection with Reinforcement Learning

2023/10/13

Jaesik Choi
Jaesik Choi

H-Index: 17

Impact of co-occurrence on factual knowledge of large language models

arXiv preprint arXiv:2310.08256

2023/10/12

Cheongwoong Kang
Cheongwoong Kang

H-Index: 2

Jaesik Choi
Jaesik Choi

H-Index: 17

Explainable AI-Based Interface System for Weather Forecasting Model

2023/7/23

Adaptive and explainable deployment of navigation skills via hierarchical deep reinforcement learning

2023/5/29

Jaesik Choi
Jaesik Choi

H-Index: 17

The Disharmony Between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation Between Activations

arXiv preprint arXiv:2304.11692

2023/4/23

Jaesik Choi
Jaesik Choi

H-Index: 17

Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling

2023

On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network

arXiv preprint arXiv:2207.03400

2022/7/7

An unsupervised way to understand artifact generating internal units in generative neural networks

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Rarity score: A new metric to evaluate the uncommonness of synthesized images

arXiv preprint arXiv:2206.08549

2022/6/17

Variational neural temporal point process

arXiv preprint arXiv:2202.10585

2022/2/17

Jaesik Choi
Jaesik Choi

H-Index: 17

Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?

arXiv preprint arXiv:2201.06346

2022/1/17

Jaesik Choi
Jaesik Choi

H-Index: 17

See List of Professors in Jaesik Choi University(KAIST)

Co-Authors

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