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Showing results 1 to 21 of 21

1	An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks Jeong, Giyoung; Jeong, Haedong; Choi, Jaesik, AAAI Conference on Artificial Intelligence, AAAI-20, pp.4288 - 4295, AAAI, 2020-02-11
2	Combining Planning and Motion Planning Choi, Jaesik; Amir, Eyal, IEEE International Conference on Robotics and Automation (ICRA), pp.238 - 244, IEEE Robotics and Automation Society, 2009-05-14
3	Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling Lee, Kyowoon; Kim, Sol-A; Choi, Jaesik; Lee, Seong-Whan, The 35th International Conference on Machine Learning (ICML 2018), pp.2937 - 2946, ICML, 2018-07-11
4	Discovering Latent Covariance Structures for Multiple Time Series Tong, Anh; Choi, Jaesik, The 36th International Conference on Machine Learning, ICML 2019, pp.6285 - 6294, ICML, 2019-06-12
5	Dynamic Online Performance Optimization in Streaming Data Compression Gibson, J. Kade; Lee, Dongeun; Choi, Jaesik; Sim, Alexander, 2018 IEEE International Conference on Big Data, pp.534 - 541, IEEE Big Data, 2018-12-13
6	Efficient Methods for Lifted Inference with Aggregate Factors Choi, Jaesik; de Salvo Braz, Rodrigo; Bui, Hung, AAAI Conference on Artificial Intelligence (AAAI), pp.1030 - 1036, Association for the Advancement of Artificial Intelligence (AAAI), 2011-08-11
7	Extracting Baseline Electricity Usage Using Gradient Tree Boosting Kim, Taehoon; Lee, Dongeun; Choi, Jaesik; Spurlock, Anna; Sim, Alex; Todd, Annika; Wu, Kesheng, The 2015 International Conference on Big Data Intelligence and Computing (DataCom 2015), pp.734 - 741, DataCom, 2015-12-20
8	Factor-guided motion planning for a robot arm Choi, Jaesik; Amir, Eyal, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007, pp.27 - 32, IEEE Robotics and Automation Society (RAS), 2007-10-30
9	Greedy Algorithms for Sequential Sensing Decisions Hajishirzi, Hannaneh; Shirzi, Afsaneh; Choi, Jaesik; Amir, Eyal, International Joint Conference on Artificial Intelligence (IJCAI), pp.1908 - 1915, International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2009-07-16
10	HetPipe: Enabling large DNN training on (Whimpy) heterogeneous GPU clusters through integration of pipelined model parallelism and data parallelism Park, Jay H; Yun, Gyeongchan; Yi, Chang M; Nguyen, Nguyen T; Lee, Seungmin; Choi, Jaesik; Noh, Sam H; et al, USENIX Annual Technical Conference, ATC 2020, pp.307 - 321, USENIX Association, 2020-07-16
11	Improving statistical similarity based data reduction for non-stationary data Lee, Dongeun; Sim, Alex; Choi, Jaesik; Wu, Kesheng, 29th International Conference on Scientific and Statistical Database Management, SSDBM 2017, pp.1 - 6, International Conference on Scientific and Statistical Database Management, 2017-06-27
12	Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data Choi, Jaesik, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.3563 - 3564, Association for Computing Machinery, 2020-08-23
13	Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes Cho, Sohee; Chang, Wonjoon; Lee, Ginkyeng; Choi, Jaesik, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.158 - 166, Association for Computing Machinery, 2021-08-16
14	Learning the group structure of deep neural networks with an expectation maximization method Yi, Subin; Choi, Jaesik, 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018, pp.689 - 696, IEEE International Conference on Data Mining Workshops, 2018-11-17
15	Lifted Inference for Relational Continuous Models Choi, Jaesik; Hill, David J.; Amir, Eyal, Conference on Uncertainty in Artificial Intelligence (UAI), pp.1 - 9, Association for Uncertainty in Artificial Intelligence, 2010-07-10
16	Lifted Relational Kalman Filtering Choi, Jaesik; Guzman-Rivera, Abner; Amir, Eyal, International Joint Conference on Artificial Intelligence (IJCAI), pp.2092 - 2099, International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2011-07-21
17	Lifted Relational Variational Inference Choi, Jaesik; Amir, Eyal, Conference on Uncertainty in Artificial Intelligence (UAI), pp.1 - 11, Association for Uncertainty in Artificial Intelligence, 2012-08-16
18	Reading Documents for Bayesian Online Change Point Detection Kim, Taehoon; Choi, Jaesik, Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, pp.1610 - 1619, Association for Computational Linguistics, SIGDAT, 2015-09-20
19	Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks Nam, Woo-Jeoung; Gur, Shir; Choi, Jaesik; Wolf, Lior; Lee, Seong-Whan, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, pp.2501 - 2508, AAAI, 2020-02-11
20	SecureCore: A Multicore based Intrusion Detection Architecture for Realtime Embedded Systems Yoon, Man-Ki; Sha, Lui; Choi, Jaesik; Kim, Jung-Eun; Mohan, Sibin, 2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium, RTAS 2013, pp.21 - 32, IEEE Computer Society, 2013-04-09
21	Spatio-Temporal Pyramid Matching for Sports Videos Choi, Jaesik; Jeon, Won J; Lee, Sang-Chul, ACM International Conference on Multimedia Information Retrieval (MIR), pp.291 - 297, ACM, 2008-10-31

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