Talks & Events

Upcoming Talks/Events

  • "Improving Efficiency of Deep Learning Approaches for Scientific Machine Learning" - SIAM Conference on Uncertainty Quantification (UQ22), April 15, 2022

Talks

  • "The rate-distortion explanation identifies causal mutations driving drug resistance in bacterial whole-genome sequence data" - Machine Learning in Computational Biology (MLCB) Online, November 23, 2021

  • "Scientific machine learning, compressed sensing, and the future of data science" - Colloquium - Department of Scientific Computing, Florida State University, Tallahassee, FL - November 16, 2021

  • "Improving efficiency of deep learning approaches for scientific machine learning" - CMS Winter Meeting - December 3, 2021

  • "Learning high-dimensional Hilbert-valued functions with deep neural networks from limited data" - SIAM Southeastern Atlantic Section Annual Meeting - Auburn University, Auburn, AL - September 19, 2021

  • "Learning high-dimensional Hilbert-valued functions with deep neural networks from limited data" - Online International Conference on Computational Harmonic Analysis 2021 - September 17, 2021

  • "Learning High-Dimensional Hilbert-Valued Functions With Deep Neural Networks From Limited Data" - AAAI-MLPS 2021 - Virtual Event - March 22, 2021

  • "Sparse Reconstruction Techniques for Approximation of Solutions to High-Dimensional Parameterized PDEs" - SIAM Conference on Computational Science and Engineering - Virtual Event - March 3, 2021

  • "Learning High-Dimensional Systems from Data by Optimal Nonlinear Approximations and Deep Networks" - Joint SIAM/CAIMS Annual Meeting - July 9, 2020

  • "Practical Approximation in High Dimension with ReLU Deep Neural Networks" - Scientific Computing, Applied and Industrial Mathematics (SCAIM) Seminar - University of British Columbia - November 19, 2019

  • "On the Gap Between Theory and Practice in Deep Learning" Math Department Colloquium - Western Washington University, Bellingham, WA - November 7, 2019

  • "On the gap between theory and practice in deep learning" - Operations Research Seminar - Simon Fraser University, Burnaby, BC - October 3, 2019

  • "Practical approximation in high dimension with ReLU deep neural networks" - SIAM Southeastern Atlantic Section Annual Meeting - University of Tennessee, Knoxville, TN - September 20-22, 2019

  • "High-dimensional Function Approximation with ReLU Deep Neural Networks" - Canadian Applied and Industrial Mathematics Society Annual Meeting 2019 - Whistler, BC, Canada - June 9-13, 2019

  • "High-dimensional Function Approximation with ReLU Deep Neural Networks" - 16th International Conference on Approximation Theory - Vanderbilt University, Nashville, TN - May 19-22, 2019

  • "Energy norm regularized sparse simultaneous reconstruction of solutions to parameterized PDEs" - SIAM Conference on Computational Science and Engineering - Spokane, WA - February 25-March 1, 2019

  • "Energy norm regularized sparse simultaneous reconstruction of solutions to parameterized PDEs" - Canadian Mathematical Society Winter Meeting - Vancouver, BC - December 7-10, 2018

  • "Joint-sparse recovery for high-dimensional parametric PDEs," Workshop on "Numerical Analysis and Approximation Theory meets Data Science" - Banff International Research Station, Banff, Alberta, Canada - April 23, 2018

  • "Joint-sparse recovery for high-dimensional parametric PDEs," Workshop on "UQ for inverse problems in complex systems" -Isaac Newton Institute, Cambridge University, UK - April 12, 2018

  • "Joint-sparse recovery for high-dimensional parametric PDEs," Computational and Applied Mathematics Seminar - Georgia Tech, Atlanta, GA - March 5, 2018

  • "Joint-sparse recovery for high-dimensional parametric PDEs," Spring School - University of South Carolina, Columbia, SC - February 25, 2018

  • "Sparse Recovery of Hilbert-Valued Signals with Applications to High-Dimensional Parametric PDEs," QUIET 2017 - SISSA, Trieste, Italy - July 20, 2017

  • "Sparse Recovery of Hilbert-Valued Signals with Applications to High-Dimensional Parametric PDEs," SIAM Annual Meeting - Pittsburgh, PA - July 14, 2017

  • "Sparse Recovery of Hilbert-Valued Signals with Applications to High-Dimensional Parametric PDEs," ORNL Computational and Applied Mathematics Seminar - Oak Ridge, TN - May 22, 2017

  • "Global Reconstruction of Solutions to Parametric PDEs via Compressed Sensing," SIAM Conference on Computational Science and Engineering - Atlanta, FL - February 27, 2017

  • "Global Reconstruction of Solutions to Parametric PDEs via Compressed Sensing," 4th Workshop on Sparse Grids and Applications - Miami, FL - October 6, 2016

  • "Global Reconstruction of Solutions to Parametric PDEs via Compressed Sensing," Dagstuhl Seminar 16372 on Uncertainty Quantification and High Performance Computing - Schloss Dagstuhl, Wadern, Germany - September 13, 2016

  • "Explicit Cost Bounds of Stochastic Galerkin Approximations for Parameterized PDEs with Random Coefficients," SIAM Conference on Uncertainty Quantification - Lausanne, Switzerland - April 5, 2016

  • "Explicit Cost Bounds of Stochastic Galerkin Approximations for Parameterized PDEs with Random Coefficients," ORNL Computational and Applied Mathematics Seminar - Oak Ridge, TN - December 10, 2015

  • "The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients," SIAM Conference on Computational Science and Engineering - Salt Lake City, UT - March 17, 2015

  • "The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients," SIAM Annual Meeting - Chicago, IL - July 7, 2014

  • "The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients," SIAM Conference on Uncertainty Quantification - Savannah, GA - April 3, 2014

  • "The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients," Virginia Tech SIAM Student Conference - Blacksburg, VA - March 8, 2014

  • "Stochastic Collocation Techniques Applied to Reactor Criticality," 37th SIAM Southeastern Atlantic Section Meeting - Knoxville, TN - March 23, 2013

  • "Stochastic Collocation Techniques for UQ in Reactor Criticality Problems," SIAM Conference on Computational Science and Engineering - Boston, MA - February 26, 2013

Past Events

The cover photo was taken at the Golden Gate Bridge Welcome Center in San Francisco, CA.