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Loop profile: 4667
Scopus Author ID: 7102998237

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Employment (1)

Texas A&M University: College Station, TX, US

2001-09-01 to present | Professor (Computer Science)
Employment
Source: Self-asserted source
Yoonsuck Choe

Education and qualifications (3)

The University of Texas at Austin: Austin, Texas, US

1996-01-01 to 2001-08-31 | Ph.D. (Computer Sciences)
Education
Source: Self-asserted source
Yoonsuck Choe

The University of Texas a Austin: Austin, Texas, US

1993-09-01 to 1995-12-31 | M.A. (Computer Sciences)
Education
Source: Self-asserted source
Yoonsuck Choe

Yonsei University: Seoul, KR

1988-03-01 to 1993-08-31 | B.S. (Computer Science)
Education
Source: Self-asserted source
Yoonsuck Choe

Works (31)

Meaning vs.\ Information, Prediction vs.\ Memory, and Question vs.\ Answer

Artificial Intelligence in the Age of Neural Networks and Brain Computing
2024 | Book chapter
Contributors: Yoonsuck Choe; Carlo F.\ Morabito; Cesare Alippi; Yoonsuck Choe; Robert Kozma
Source: Self-asserted source
Yoonsuck Choe

Reinforcement Learning May Demystify the Limited Human Motor Learning Efficacy Due to Visual-Proprioceptive Mismatch

International Journal of Neural Systems
2024-07 | Journal article
DOI: 10.1142/S0129065724500370
Contributors: Kyungrak Choi; Yoonsuck Choe; Hangue Park
Source: check_circle
Crossref

AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit’s activation via adjoint operators

Neural Networks
2024-02 | Journal article
DOI: 10.1016/j.neunet.2023.11.009
Contributors: Qing Wan; Siu Wun Cheung; Yoonsuck Choe
Source: check_circle
Crossref

Emergence of Tool Construction and Tool Use Through Hierarchical Reinforcement Learning

Artificial Intelligence in the Age of Neural Networks and Brain Computing
2023 | Book chapter
Contributors: Qinbo Li; Yoonsuck Choe; Carlo F.\ Morabito; Cesare Alippi; Yoonsuck Choe; Robert Kozma
Source: Self-asserted source
Yoonsuck Choe

Utilizing Human Feedback in Autonomous Driving: Discrete vs.\ Continuous

Machines
2022 | Journal article
Contributors: Maryam Savari; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators

Neural Networks
2022-10 | Journal article
DOI: 10.1016/j.neunet.2022.06.037
Contributors: Qing Wan; Yoonsuck Choe
Source: check_circle
Crossref

Construction and Use of Tools through Hierarchical Deep Reinforcement Learning

Workshop at IROS 2021: Human-Like Behavior and Cognition in Robots
2021 | Conference paper
Contributors: Qinbo Li; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Construction and Use of Tools through Hierarchical Deep Reinforcement Learning

2021 IEEE/RSJ IROS Workshop on Human-like Behavior and Cognition in Robots
2021 | Conference paper
Contributors: Qinbo Li; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Emergence of Different Modes of Tool Use in a Reaching and Dragging Task

2021 International Joint Conference on Neural Networks (IJCNN)
2021 | Conference paper
Contributors: Khuong Nguyen; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Prediction, Resilience to Change, and Evolution of Consciousness

ICDL Workshop on Spatio-temporal Aspects of Embodied Predictive Processing 2021 (StEPṔ21)
2021 | Conference paper
Contributors: Yoonsuck Choe; Jaewook Yoo; Jaerock Kwon
Source: Self-asserted source
Yoonsuck Choe

AI-driven high-throughput automation of behavioral analysis and dual-channel wireless optogenetics for multiplexing brain dynamics

2021-09-24 | Preprint
DOI: 10.1101/2021.09.23.461279
Contributors: Woo Seok Kim; Jianfeng Liu; Qinbo Li; Sungcheol Hong; Kezhuo Qi; Rahul Cherukuri; Byung-Jun Yoon; Justin Moscarello; Yoonsuck Choe; Stephen Maren et al.
Source: check_circle
Crossref

Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model

Proceedings of the AAAI Conference on Artificial Intelligence (Student Abstract)
2020 | Conference paper
Contributors: Qing Wan; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Emergence of Different Modes of Tool Use in a Reaching and Dragging Task

arXiv preprint arXiv:2012.04700
2020 | Journal article
Contributors: Nguyen, Khuong; Choe, Yoonsuck
Source: Self-asserted source
Yoonsuck Choe

Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence
2020 | Conference paper
Contributors: Kim, Jaedeok; Park, Chiyoun; Jung, Hyun-Joo; Choe, Yoonsuck
Source: Self-asserted source
Yoonsuck Choe

Speeding Up Affordance Learning for Tool Use, Using Proprioceptive and Kinesthetic Inputs

2019 International Joint Conference on Neural Networks (IJCNN)
2019 | Conference paper
Contributors: Nguyen, Khuong N; Yoo, Jaewook; Choe, Yoonsuck
Source: Self-asserted source
Yoonsuck Choe

Emergence of Tool Construction in an Articulated Limb Controlled by Evolved Neural Circuits

Proceedings of the International Joint Conference on Neural Networks
2017 | Conference paper
Contributors: Randall Reams; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Analysis of Tool Use Strategies in Evolved Neural Circuits controlling an Articulated Limb

Proceedings of the International Joint Conference on Neural Networks
2016 | Conference paper
Contributors: Michael Freitag; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Dynamical Analysis of Recurrent Neural Circuits in Articulated Limb Controllers for Tool Use

Proceedings of the International Joint Conference on Neural Networks
2016 | Conference paper
Contributors: Han Wang; Jaewook Yoo; Qinbo Li; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition

IEEE Transactions on Neural Networks and Learning Systems
2015 | Journal article
Contributors: Yong Zhang; Peng Li; Yingyezhe Jin; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Emergence of Tool Use in an Articulated Limb Controlled by Evolved Neural Circuits

Proceedings of the International Joint Conference on Neural Networks
2015 | Conference paper
Contributors: Qinbo Li; Jaewook Yoo; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Tool Construction and Use Challenge: Tooling Test Rebooted

AAAI-15 Workshop on Beyond the Turing Test
2015 | Conference paper
Contributors: Yoonsuck Choe; Jaewook Yoo; Qinbo Li
Source: Self-asserted source
Yoonsuck Choe

Predictable Internal Brain Dynamics in EEG and Its Relation to Conscious States

Frontiers in Neurorobotics
2014 | Journal article
URI:

http://journal.frontiersin.org/article/10.3389/fnbot.2014.00018/full
Contributors: Jaewook Yoo; Jaework Kwon; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Emergence of Memory in Reactive Agents Equipped with Environmental Markers

IEEE Transactions on Autonomous Mental Development
2011 | Journal article
Contributors: Ji Ryang Chung; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Scaling Up Reinforcement Learning through Targeted Exploration

Proceedigs of the Twenty-Fifth AAAI Conference on Artificial Intelligence
2011 | Conference paper
Contributors: Timothy A. Mann; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Neural Conduction Delay Forces the Emergence of Predictive Function in an Evolving Simulation

BMC Neuroscience
2010 | Journal article
Contributors: Timothy A. Mann; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Predictive Internal Neural Dynamics for Delay Compensation

Second World Congress on Nature and Biologically Inspired Computing (NaBIC2010)
2010 | Conference paper
Contributors: Jaerock Kwon; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Emergence of Memory-like Behavior in Reactive Agents Using External Markers

Proceedings of the 21st International Conference on Tools with Artificial Intelligence, 2009. ICTAI '09
2009 | Conference paper
Contributors: Ji Ryang Chung; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Evolution of Recollection and Prediction in Neural Networks

Proceedings of the International Joint Conference on Neural Networks
2009 | Conference paper
Contributors: Ji Ryang Chung; Jaerock Kwon; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Internal State Predictability as an Evolutionary Precursor of Self-Awareness and Agency

Proceedings of the Seventh International Conference on Development and Learning
2008 | Conference paper
Contributors: Jaerock Kwon; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Manifold Integration with Markov Random Walks

Proceedigs of the Twenty-Second AAAI Conference on Artificial Intelligence
2008 | Conference paper
Contributors: Heeyoul Choi; Seungjin Choi; Yoonsuck Choe
Source: Self-asserted source
Yoonsuck Choe

Facilitating Neural Dynamics for Delay Compensation and Prediction in Evolutionary Neural Networks

Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, GECCO-2006
2006 | Conference paper
Contributors: Heejin Lim; Yoonsuck Choe; Maarten Keijzer
Source: Self-asserted source
Yoonsuck Choe

Peer review (1 review for 1 publication/grant)

Review activity for Biomedical engineering letters. (1)
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