| Federated learning with matched averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 2020 | 1211 | 2020 |
| Bayesian nonparametric federated learning of neural networks M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni International conference on machine learning, 7252-7261, 2019 | 760 | 2019 |
| From Robotic Process Automation to Intelligent Process Automation: – Emerging Trends – T Chakraborti, V Isahagian, R Khalaf, Y Khazaeni, V Muthusamy, Y Rizk, ... Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020 | 172 | 2020 |
| All work and no play? QV Liao, M Mas-ud Hussain, P Chandar, M Davis, Y Khazaeni, ... Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 151 | 2018 |
| A conversational digital assistant for intelligent process automation Y Rizk, V Isahagian, S Boag, Y Khazaeni, M Unuvar, V Muthusamy, ... Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020 | 45 | 2020 |
| Top-down intelligent reservoir modeling (TDIRM) Y Gomez, Y Khazaeni, SD Mohaghegh, R Gaskari SPE Annual Technical Conference and Exhibition?, SPE-124204-MS, 2009 | 45 | 2009 |
| –d3wa+–a case study of xaip in a model acquisition task for dialogue planning S Sreedharan, T Chakraborti, C Muise, Y Khazaeni, S Kambhampati Proceedings of the International Conference on Automated Planning and …, 2020 | 42 | 2020 |
| Federated learning with matched averaging. arXiv 2020 H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 0 | 40 | |
| A unified conversational assistant framework for business process automation Y Rizk, A Bhandwalder, S Boag, T Chakraborti, V Isahagian, Y Khazaeni, ... arXiv preprint arXiv:2001.03543, 2020 | 38 | 2020 |
| Event-driven cooperative receding horizon control for multi-agent systems in uncertain environments Y Khazaeni, CG Cassandras IEEE Transactions on Control of Network Systems 5 (1), 409-422, 2016 | 32 | 2016 |
| Data-driven reservoir management of a giant mature oilfield in the Middle East SD Mohaghegh, R Gaskari, M Maysami, Y Khazaeni SPE Annual Technical Conference and Exhibition?, SPE-170660-MS, 2014 | 31 | 2014 |
| Leveraging conversational systems to assists new hires during onboarding P Chandar, Y Khazaeni, M Davis, M Muller, M Crasso, QV Liao, NS Shami, ... Human-Computer Interaction-INTERACT 2017: 16th IFIP TC 13 International …, 2017 | 30 | 2017 |
| Intelligent production modeling using full field pattern recognition Y Khazaeni, SDD Mohaghegh SPE Reservoir Evaluation & Engineering 14 (06), 735-749, 2011 | 26 | 2011 |
| D3BA: a tool for optimizing business processes using non-deterministic planning T Chakraborti, S Agarwal, Y Khazaeni, Y Rizk, V Isahagian Business Process Management Workshops: BPM 2020 International Workshops …, 2020 | 22 | 2020 |
| A bandit approach to posterior dialog orchestration under a budget S Upadhyay, M Agarwal, D Bounneffouf, Y Khazaeni arXiv preprint arXiv:1906.09384, 2019 | 21 | 2019 |
| Event-driven trajectory optimization for data harvesting in multiagent systems Y Khazaeni, CG Cassandras IEEE Transactions on Control of Network Systems 5 (3), 1335-1348, 2017 | 21 | 2017 |
| New Insight into Integrated Reservoir Management using Top-Down, Intelligent Reservoir Modeling Technique; Application to a Giant and Complex Oil Field in the Middle East A Kalantari-Dahaghi, SD Mohaghegh, Y Khazaeni SPE Western Regional Meeting, SPE-132621-MS, 2010 | 21 | 2010 |
| A new event-driven cooperative receding horizon controller for multi-agent systems in uncertain environments Y Khazaeni, CG Cassandras 53rd IEEE Conference on Decision and Control, 2770-2775, 2014 | 19 | 2014 |
| Contextual bandit with missing rewards D Bouneffouf, S Upadhyay, Y Khazaeni arXiv preprint arXiv:2007.06368, 2020 | 15 | 2020 |
| Explainable composition of aggregated assistants S Sreedharan, T Chakraborti, Y Rizk, Y Khazaeni arXiv preprint arXiv:2011.10707, 2020 | 14 | 2020 |
Mikhail YurochkinResearch Manager, Statistical Large Language Modeling, IBM Research and MIT-IBM Watson AI LabGeverifieerd e-mailadres voor umich.edu
