64 citations
- General Electric (United States)US2 papers
- Association for Computing MachineryUS1 paper
- Ben-Gurion University of the NegevIL1 paper
- Bielefeld UniversityDE1 paper
- California Southern UniversityUS1 paper
- Cardiff UniversityGB1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- General Motors (Poland)PL1 paper
- Google (United States)US1 paper
- Institut Jean Le Rond d'AlembertFR1 paper
- Jilin Medical UniversityCN1 paper
- Jilin UniversityCN1 paper
6 papers · 1 filter
Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations
Carlos Ansotegui, Meinolf Sellmann, Tapan Shah +1
We consider black-box optimization in which only an extremely limited number of function evaluations, on the order of around 100, are affordable and the function evaluations must b…
Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models
Steven Atkinson, Yiming Zhang, Liping Wang
There has been a surge in the interest of using machine learning techniques to assist in the scientific process of formulating knowledge to explain observational data. We demonstra…
Data-based Discovery of Governing Equations
Waad Subber, Piyush Pandita, Sayan Ghosh +3
Most common mechanistic models are traditionally presented in mathematical forms to explain a given physical phenomenon. Machine learning algorithms, on the other hand, provide a m…
Bayesian Hidden Physics Models: Uncertainty Quantification for Discovery of Nonlinear Partial Differential Operators from Data
Steven Atkinson
What do data tell us about physics-and what don't they tell us? There has been a surge of interest in using machine learning models to discover governing physical laws such as diff…
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning
Daniel Goldfarb, Scott Evans
Recent developments have linked causal inference with Algorithmic Information Theory, and methods have been developed that utilize Conditional Kolmogorov Complexity to determine ca…
An SVM Based Approach for Cardiac View Planning
Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag +1
We consider the problem of automatically prescribing oblique planes (short axis, 4 chamber and 2 chamber views) in Cardiac Magnetic Resonance Imaging (MRI). A concern with technolo…