259 citations
- General Electric (United States)US11 papers
- University at Albany, State University of New YorkUS5 papers
- University of Maryland, College ParkUS4 papers
- Rensselaer Polytechnic InstituteUS3 papers
- California Institute of TechnologyUS2 papers
- Eindhoven University of TechnologyNL2 papers
- Pennsylvania State UniversityUS2 papers
- Purdue University West LafayetteUS2 papers
- Technion – Israel Institute of TechnologyIL2 papers
- Tel Aviv UniversityIL2 papers
- University College LondonGB2 papers
- University of California, BerkeleyUS2 papers
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3 papers · 1 filter
stat.ML2020★ 4 cited
Advances in Bayesian Probabilistic Modeling for Industrial Applications
Sayan Ghosh, Piyush Pandita, Steven Atkinson +5
Industrial applications frequently pose a notorious challenge for state-of-the-art methods in the contexts of optimization, designing experiments and modeling unknown physical resp…
stat.ML2019★ 3 cited
Towards Scalable Gaussian Process Modeling
Piyush Pandita, Jesper Kristensen, Liping Wang
Numerous engineering problems of interest to the industry are often characterized by expensive black-box objective experiments or computer simulations. Obtaining insight into the p…
stat.ML2017
A textual transform of multivariate time-series for prognostics
Abhay Harpale, Abhishek Srivastav
Prognostics or early detection of incipient faults is an important industrial challenge for condition-based and preventive maintenance. Physics-based approaches to modeling fault p…