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XAI—Explainable artificial intelligence

Science robotics, 2019-12, Vol.4 (37)

2019

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Message Action Adapter Framework in Multi-Agent Reinforcement Learning

Applied sciences, 2024-11, Vol.14 (21), p.10079

2024

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Balanced Domain Randomization for Safe Reinforcement Learning

Applied sciences, 2024-11, Vol.14 (21), p.9710

2024

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Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks

Entropy (Basel, Switzerland), 2019-10, Vol.21 (10), p.976

2019

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Spatiotemporal Characterization of GPCR Activity and Function during Endosomal Trafficking Pathway

Analytical chemistry (Washington), 2021-02, Vol.93 (4), p.2010-2017

2021

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Message Passing With Gating Mechanisms in Multi-agent Reinforcement Learning

Journal of Institute of Control, Robotics and Systems, 2023-11, Vol.29 (11), p.847-853

2023

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Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Information fusion, 2024-06, Vol.106, p.102301, Article 102301

2024

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Capsule Neural Networks as Noise Stabilizer for Time Series Data

Chŏngbo Kwahakhoe nonmunji, 2024-08, Vol.51 (8), p.678-684

2024

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Automatic Correction of Internal Units in Generative Neural Networks

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.7928-7936

2021

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Predicting potentially hazardous chemical reactions using an explainable neural network

Chemical science (Cambridge), 2021-08, Vol.12 (33), p.1128-1137

2021

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Visualization of Convolutional Neural Networks for Time Series Input Data

Chŏngbo Kwahakhoe nonmunji, 2020-05, Vol.47 (5), p.445-453

2020

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Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models

Ground water, 2014-05, Vol.52 (3), p.448-460

2014

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Visualization of Autophagy Progression by a Red–Green–Blue Autophagy Sensor

ACS sensors, 2020-12, Vol.5 (12), p.3850-3861

2020

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Algorithmic Read Resistance Trim for Improving Yield and Reducing Test Time in MRAM

2023 IEEE International Test Conference (ITC), 2023, p.87-92

2023

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South Korea’s Response to Surging AI Use in the US and China

Global Asia (East Asia foundation), 2022, Vol.17 (4), p.55-60

Jaesik Choi

2022

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Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.3563-3564

Choi, Jaesik

2020

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Statistical data reduction for streaming data

2017 New York Scientific Data Summit (NYSDS), 2017, p.1-6

2017

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Implementation of End-to-End Training of Deep Visuomotor Policies for Manipulation of a Robotic Arm of Baxter Research Robot

Journal of Korea Robotics Society, 2019-03, Vol.14 (1), p.40-49

2019

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Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns

2017 Data Compression Conference (DCC), 2017, p.445-445

2017

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Novel Data Reduction Based on Statistical Similarity

International Conference on Scientific and Statistical Database Management, 2016-07, Vol.2016

2016

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Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2021-05, Vol.35 (11), p.9915-9922

2021

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Predicting baseline for analysis of electricity pricing

International Journal of Big Data Intelligence, 2018, Vol.5 (1/2), p.3

2018

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Explainable AI-Based Interface System for Weather Forecasting Model

HCI International 2023 - Late Breaking Papers, 2023, Vol.14059, p.101-119

2023

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Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (10), p.11212-11220

2024

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Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (8), p.8948-8956

2024

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XAI—Explainable artificial intelligence

Message Action Adapter Framework in Multi-Agent Reinforcement Learning

Balanced Domain Randomization for Safe Reinforcement Learning

Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks

Spatiotemporal Characterization of GPCR Activity and Function during Endosomal Trafficking Pathway

Message Passing With Gating Mechanisms in Multi-agent Reinforcement Learning

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Capsule Neural Networks as Noise Stabilizer for Time Series Data

Automatic Correction of Internal Units in Generative Neural Networks

Predicting potentially hazardous chemical reactions using an explainable neural network

Visualization of Convolutional Neural Networks for Time Series Input Data

Use of Machine Learning Methods to Reduce Predictive Error of Groundwater Models

Visualization of Autophagy Progression by a Red–Green–Blue Autophagy Sensor

Algorithmic Read Resistance Trim for Improving Yield and Reducing Test Time in MRAM

South Korea’s Response to Surging AI Use in the US and China

Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data

Statistical data reduction for streaming data

Implementation of End-to-End Training of Deep Visuomotor Policies for Manipulation of a Robotic Arm of Baxter Research Robot

Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns

Novel Data Reduction Based on Statistical Similarity

Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems

Predicting baseline for analysis of electricity pricing

Explainable AI-Based Interface System for Weather Forecasting Model

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

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