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Sanghyun Yi
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Aesthetic preference for art can be predicted from a mixture of low-and high-level visual features
K Iigaya, S Yi, IA Wahle, K Tanwisuth, JP O’Doherty
Nature Human Behaviour 5 (6), 743-755, 2021
90*2021
Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
S Yi, R Goel, C Khatri, A Cervone, T Chung, B Hedayatnia, A Venkatesh, ...
arXiv preprint arXiv:1904.13015, 2019
622019
Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain
K Iigaya, S Yi, IA Wahle, K Tanwisuth, JP O’Doherty
BioRxiv, 2020.02. 09.940353, 2020
362020
Neural mechanisms underlying the hierarchical construction of perceived aesthetic value
K Iigaya, S Yi, IA Wahle, S Tanwisuth, L Cross, JP O’Doherty
Nature Communications 14 (1), 127, 2023
232023
A Chatbot by Combining Finite State Machine, Information Retrieval, and Bot-Initiative Strategy
S Yi, K Jung
1st Proceedings of Alexa Prize, 2017
142017
Dialog response generation
R Goel, CP Khatri, T Chung, RC Gabriel, A Venkatesh, B Hedayatnia, S Yi
US Patent 11,194,973, 2021
102021
A Competitive Path to Build Artificial Football Agents for AI Worldcup
SH Yi, JH Lee, CH Lee, J Kim, S An, SW Lee
IEEE/IEIE International Conference On Consumer Electronics (ICCE) Asia, 2018
22018
Computational and neural mechanisms underlying the influence of action affordances on value learning
S Yi, JP O’Doherty
bioRxiv, 2023.07. 21.550102, 2023
1*2023
Maximally separating and correlating model-based and model-free reinforcement learning
S Yi, J Lee, SW Lee
Computational and Systems Neuroscience (COSYNE), 2018
12018
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