Browse "IE-Conference Papers(학술회의논문)" by Author Park, Jinkyoo
Showing results 1 to 25 of 25
| A data-driven approach for cooperative wind farm control Park, Jinkyoo; Kwon, Soonduck; Law, Kincho, American Control Conference (ACC), AACC, 2016-07-07 |
| Classification of Heart Sound Recordings Using Convolution Neural Network Ryu, Heechang; Shin, Hayong; Park, Jinkyoo, Computing in Cardiology, The Canadian Cardiovascular Congress, 2016-09-12 |
| Convergent graph solvers Park, Junyoung; Choo, Jinhyun; Park, Jinkyoo, 10th International Conference on Learning Representations, ICLR 2022, International Conference on Learning Representations, 2022-04 |
| Cooperative and Competitive Biases for Multi-Agent Reinforcement Learning Ryu, Heechang; Shin, Hayong; Park, Jinkyoo, Autonomous Agents and Multiagent Systems (AAMAS-2021), pp.1091 - 1099, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021-05-04 |
| Data Driven Analytics (Machine Learning) for System Characterization, Diagnostics and Control Optimization Park, Jinkyoo; Ferguson, Max; Law, Kincho, 25th Workshop of the European-Group-for-Intelligent-Computing-in-Engineering (EG-ICE), pp.16 - 36, the European Group for Intelligent Computing in Engineering, 2018-06-11 |
| Data-Driven Wind Farm Control Using Contextual Bayesian Ascent Algorithm Park, Jinkyoo, American Control Conference (ACC), the American Automatic Control Council, 2017-05-25 |
| Deep Neural Controller: a Neural Network for Model-free predictive Control and its Application to Viscosity Control in Chemical Process Park, Junyoung; Park, Jinkyoo, International Workshop on Structural Health Monitoring (IWSHM), Stanford University, 2017-09-13 |
| Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem Woo, Seongcheol; Yeon, Juneyeong; Ji, Mingi; Moon, Il-Chul; Park, Jinkyoo, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.4230 - 4236, IEEE Conference on System, Man, and Cybernetics, 2018-10-07 |
| Differentiable Multiple Shooting Layers Massaroli, Stefano; Poli, Michael; Sonoda, Sho; Suzuki, Taiji; Park, Jinkyoo; Yamashita, Atsushi; Asama, Hajime, 35th Conference on Neural Information Processing Systems, NeurIPS 2021, pp.16532 - 16544, Neural information processing systems foundation, 2021-12 |
| Dissecting Neural ODEs Massaroli, Stefano; Poli, Michael; Park, Jinkyoo; Yamashita, Atsushi; Asma, Hajime, 34th Conference on Neural Information Processing Systems, NeurIPS 2020, The Neural Information Processing Systems, 2020-12-09 |
| Efficient Approximate Inference for Stationary Kernel on Frequency Domain Jung, Yohan; Song, Kyungwoo; Park, Jinkyoo, 39th International Conference on Machine Learning, ICML 2022, pp.10502 - 10538, ML Research Press, 2022-07 |
| End-to-End control of USV swarm using graph centric Multi-Agent Reinforcement Learning Lee, Kanghoon; Ahn, Kyuree; Park, Jinkyoo, 2021 21st International Conference on Control, Automation and Systems (ICCAS), pp.925 - 929, IEEE, 2021-10-12 |
| Energy storage control based on user clustering and battery capacity allocation Ryu, Heechang; Jung, Yohan; Park, Jinkyoo, 2017 IEEE Power & Energy Society General Meeting, IEEE PES, 2017-07-18 |
| Evaluation of a PMML-based GPR scoring engine on a cloud platform and microcomputer board for smart manufacturing Ferguson, Max; Law, Kincho; Bhinge, Raunak; Dornfeld, David; Park, Jinkyoo; Lee, Y-YT, IEEE International Conference on Big Data (Big Data), IEEE, 2016-12-06 |
| Hierarchical anomaly detection using a multi-output Gaussian process Cho, Woojin; Park, Jinkyoo, 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019, pp.2957 - 2964, DEStech Publications Inc., 2019-09 |
| Hypergraph Convolutional Recurrent Neural Network Yi, Jaehyuk; Park, Jinkyoo, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.3366 - 3376, Association for Computing Machinery, 2020-08-25 |
| Hypersolvers: Toward Fast Continuous-Depth Models Poli, Michael; Massaroli, Stefano; Yamashita, Atsushi; Asma, Hajime; Park, Jinkyoo, 34th Conference on Neural Information Processing Systems, NeurIPS 2020, The Neural Information Processing Systems, 2020-12-09 |
| Idle Vehicle Rebalancing in Semiconductor Fabrication Using Factorized Graph Neural Network Reinforcement Learning Ahn, Kyuree; Park, Jinkyoo, 58th IEEE Conference on Decision and Control, CDC 2019, pp.132 - 138, Institute of Electrical and Electronics Engineers Inc., 2019-12-12 |
| Multi-Agent Actor-Critic with Hierarchical Graph Attention Network Ryu, Heechang; Shin, Hayong; Park, Jinkyoo, Thirty-Fourth AAAI Conference on Artificial Intelligence, pp.7236 - 7243, Association for the Advancement of Artificial Intelligence (AAAI), 2020-02-10 |
| Port-Hamiltonian Approach to Neural Network Training Massaroli, Stefano; Poli, Michael; Califano, F.; Faragasso, Angela; Park, Jinkyoo; Yamashita, Atsushi; Asama, Hajime, 58th IEEE Conference on Decision and Control, CDC 2019, pp.6799 - 6806, IEEE, 2019-12-12 |
| Predicting Wind Turbine Power and Load Outputs by Multi-task Convolutional LSTM Model Woo, Seongcheol; Park, Junyoung; Park, Jinkyoo, IEEE Power & Energy Society General Meeting (PESGM), IEEE PES, 2018-08-07 |
| REMAX: Relational Representation for Multi-Agent Exploration Ryu, Heechang; Shin, Hayong; Park, Jinkyoo, Autonomous Agents and Multiagent Systems (AAMAS-20221), pp.1137 - 1145, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2022-05-09 |
| Semi-supervised Bearing Fault Diagnosis with Adversarially-Trained Phase-Consistent Network Yi, Jaehyuk; Park, Jinkyoo, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.3875 - 3885, Association for Computing Machinery, 2021-08 |
| Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization Kim, Minsu; Park, Junyoung; Park, Jinkyoo, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series Poli, Michael; Park, Jinkyoo; Ilievski, Ilija, Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence, IJCAI 2020, International Joint Conferences on Artificial Intelligence Organization, 2020-07-15 |
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