ebilionis
Professor at Purdue University, worked in MCS Division, Argonne National Lab, Ph.D. in Applied Mathematics (Cornell).
School of Mechanical Engineering, Purdue UniversityWest Lafayette, IN, USA
Pinned Repositories
principal-agent-systems-engineering
Computation of Optimal Contracts for Systems Engineering
py-best
Bayesian Exploration Statistical Toolbox
py-kle
Karhunen-Loeve Expansions for Gaussian Random Fields in Python
pymc
NOTICE: master branch now contains PyMC 3 code. PyMC 2 is in branch 2.3.
variational-reformulation-of-inverse-problems
Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.
advanced-scientific-machine-learning
ME 697 - Advanced Scientific Machine Learning
data-analytics-se
ME 539 - Introduction to Scientific Machine Learning
pift-paper-2023
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
uq-course
Introduction to Uncertainty Quantification
me-297-intro-to-data-science
Introduction to Data Science for Mechanical Engineers
ebilionis's Repositories
ebilionis/py-kle
Karhunen-Loeve Expansions for Gaussian Random Fields in Python
ebilionis/variational-reformulation-of-inverse-problems
Code accompanying the paper: Variational Reformulation of Bayesian Inverse Problems, by. Tsilifis P., Bilionis I., Katsounaros I. and Zabaras N.
ebilionis/py-best
Bayesian Exploration Statistical Toolbox
ebilionis/principal-agent-systems-engineering
Computation of Optimal Contracts for Systems Engineering
ebilionis/pymc
NOTICE: master branch now contains PyMC 3 code. PyMC 2 is in branch 2.3.
ebilionis/core-me-data-science-activities-public
Data science activities for mechanical engineering undergraduates