Publications

Refereed Journal Publications

2014

  • I. Bilionis, B. A. Drewniak and E. M. Constantinescu, Crop physiology calibration in CLM. Geoscientific Model Development (submitted), 2014.
  • P. Chen*, N. Zabaras and I. Bilionis, Variational Bayesian inference with infinite mixture of Gaussian processes for uncertainty quantification. Journal of Computational Physics (submited) , 2014.
  • I. Bilionis, M. Anitescu and E. M. Constantinescu, Data-driven model for solar irradiation based on satellite observations. Solar Energy (accepted) , 2014.
  • I. Bilionis and N. Zabaras. Solution of inverse problems with limited forward solver evaluations: A fully Bayesian perspective, Inverse Problems, 30:015004 , 2014. A copy can be found here.

2013

  • J. T. Kristensen*, I. Bilionis, and N. Zabaras. Relative entropy as model selection tool in cluster expansions. Physical Review B. , 87, 174112, 2013. A copy can be found here.
  • I. Bilionis and N. Zabaras, A stochastic optimization approach to coarse-graining using a relative-entropy framework. The Journal of Chemical Physics , 138, 044313, 2013. A copy can be found here.
  • I. Bilionis, N. Zabaras, B. A. Konomi, and G. Lin. Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification. Journal of Computational Physics ,241:212-239, 2013. A copy can be found here.

2012

  • I. Bilionis and N. Zabaras. Multidimensional adaptive relevance vector machines for uncertainty quantification. SIAM Journal for Scientific Computing , Vol. 34, No. 6, pp. B881–B908 2012. A copy can be found here.
  • I. Bilionis and N. Zabaras. Multi-output local Gaussian process regression: Applications to uncertainty quantification. Journal of Computational Physics , 231:5718–5746, 2012. A copy can be found here.
  • I. Bilionis and P. S. Koutsourelakis. Free energy computations by minimization of Kullback-Leibler divergence: An efficient adaptive biasing potential method for sparse representations. Journal of Computational Physics , 231:3849–3870, 2012. A copy can be found here.

2011

  • P. S. Koutsourelakis and I. Bilionis. Scalable Bayesian reduced-order models for simulating highdimensional multiscale dynamical systems. Multiscale Modeling and Simulation , 9(1):449–485, 2011. A copy can be found here.

The ‘*’ stands for PhD students I have mentored.

Look also at my Google Scholar profile.

Conferences

2014

  • AGU Fall Meeting, San Francisco, CA, USA, December 15-19, 2014. Soybean physiology calibration in the community land model.
  • SIAM Conference on Uncertainty Quantification, Savannah, GA, USA, March 31-April 3, 2014. Solution of inverse problems with limited forward solver evaluations.

2013

  • SIAM Conference on Computational Science and Engineering, Boston, MA, USA, February 25-March 1, 2013. Building surrogates of very expensive computer codes: Applications to uncertainty quantification.
  • SIAM Conference on Computational Science and Engineering, Boston, MA, USA, February 25-March 1, 2013. Solution of inverse problems with limited forward solver evaluations: A fully Bayesian framework.
  • 12th U.S. National Congress on Computational Mechanics, Raleigh, NC, USA, July 22-25, 2013. Multidimensional adaptive relevance vector machines for uncertainty quantification.
  • 12th U.S. National Congress on Computational Mechanics, Raleigh, NC, USA, July 22-25, 2013. Relative entropy based surrogate energy models for modeling phase transitions.
  • 12th U.S. National Congress on Computational Mechanics, Raleigh, NC, USA, July 22-25, 2013. Solution of inverse problems with limited forward solver evaluations: A Bayesian framework.

2012

  • SIAM Conference on Uncertainty Quantification, Raleigh, NC, April 2-5, 2012. Sparse Bayesian techniques for surrogate creation and uncertainty quantification.
  • SIAM Conference on Uncertainty Quantification, Raleigh, NC, April 2-5, 2012. Hierarchical multi-output Gaussian process regression for uncertainty quantification with arbitrary input probability distributions.
  • SIAM Conference on Uncertainty Quantification, Raleigh, NC, April 2-5, 2012. Uncertainty Quantification with High Dimensional, Experimentally Measured Inputs.
  • Cornell University, SCAN, Ithaca, NY, March 5, 2012. Bayesian techniques for uncertainty quantification of computer codes.

2011

  • USA/Brazil Symposium on Stochastic Modeling and Uncertainty Quantification, Rio de Janeiro, Brazil, August 1-5, 2011. Multi-output Local Gaussian Process Regression: Applications to Uncertainty Quantification.
  • 11th U.S. National Congress on Computational Mechanics, Minneapolis, MN, July 25-29, 2011. Sparse Bayesian Kernel Techniques for the Solution of SPDEs.
  • SIAM Computational Science and Engineering Meeting, Reno, NV, February 28-March 2, 2011. Kernel PCA for Stochastic Input Generation of Multiscale Systems.

2010

  • Cornell University, LASSP, Ithaca, NY, June 17, 2010. Learning free energy surfaces by minimizing a Kullback-Leibler divergence.
  • SIAM Conference on Mathematical Aspects of Materials Science, Philadelphia, PA, May 23-26 2010. Adaptive free energy calculations for crystalline materials.
  • IV European Conference on Computational Mechanics, Paris, France, May 16-21 2010. Coarse-graining in crystalline materials through adaptive free-energy calculations.

Invited Talks

2014

  • Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA, June 5, 2014. Data-driven model for solar irradiation based on satellite observations.

2013

  • School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA, July 17, 2013. Towards a data-driven, fully Bayesian framework for uncertainty quantification.
  • Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA, May 1, 2013. Towards a data-driven, fully Bayesian framework for uncertainty quantification.
  • Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA, April 5, 2013. Towards a data-driven, fully Bayesian framework for uncertainty quantification.

2012

  • Scientific Computing and Numerics Seminar, Cornell University, Ithaca, NY, USA, March 5, 2012. Bayesian techniques for uncertainty quantification of computer codes.

2011

  • USA/Brazil Symposium on Stochastic Modeling and Uncertainty Quantification, Rio de Janeiro, Brazil, August 1-5, 2011. Multi-output local Gaussian process regression: Applications to uncertainty quantification.

2010

  • Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, NY, USA, June 17, 2010. Learning free energy surfaces by minimizing a Kullback-Leibler divergence.