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Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
2021 MIT CCSE Symposium
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Distinguished Seminar Series in Computational Science and Engineering
Seminar: Hybrid modeling: best of both worlds? / Pierre Gentine
ChemE-CSE Thesis Defense Announcement
MechE-CSE Thesis Defense Announcement
CEE-CSE Thesis Defense Announcement
CCE Seminar: Deep Neural Networks for Inverse Modeling/Eric Darve
CSE-AeroAstro Thesis Defense/Oct 1st, 9 AM, 33-116
CCE Seminar: Sometimes all we have left are pictures and fear/Daniel Simpson
CCE Seminar: Making the Deep Learning Revolution Practical through Second Order Methods/Michael Mahoney
MechE-CSE Thesis Defense Announcement
Piecewise deterministic Markov chain Monte Carlo
Numerical differential geometry
A new class of variational methods for multiphysics interfacial problems, data driven modeling, and error estimation
Machine learning for materials
2019 MIT Center for Computational Engineering Symposium
Spectral POD and resolvent analysis of turbulent flows
Making Sparse Fast
Physics-informed learning machines for physical systems
The richness of computational engineering at MIT: Observations on advocacy and stewardship
Probabilistic Numerics — Uncertainty in Computation
Learning and Geometry for Stochastic Dynamical Systems in High Dimensions
Volumetric Shape Analysis from Boundary Representations
Optimization Methods for Training Neural Networks
Physics-based Animation at Pixar
Between Kinetic Theory and Navier Stokes – Modeling Fluids at the Mesoscale