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10 events found.
Jeffrey L. Elman Distinguished Lecture Series: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives
Title: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives Abstract: Much of the recent focus in machine learning has been on the pattern-recognition side of the field. […]
Seminar: Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites
Zoom ID: https://cuboulder.zoom.us/j/96007553384 Password: i-aim Nicholas Kotov (U Michigan) "Graph Theoretical Descriptors for Biomimetic Nanoparticles and Fibrous Nanocomposites" Abstract: Descriptors based on graph theory (GT) are needed to achieve accurate representations of […]
Seminar: Recourse in Machine Learning
Please join us on Tuesday, June 1 @ 2:00 pm for a ZOOM talk by Berk Ustun. The talk will be about 45 minutes and will be followed by a […]
Seminar: Leonidas Guibas, Stanford University
Zoom ID: https://cuboulder.zoom.us/j/2251625831 Password: i-aim Leonidas Guibas, Stanford University TBA Abstract: TBA About the Speaker: TBA
Data Science Insights Speaker Series: Yian Ma
Details Exploration Problem in Sequential Decision Making: A Computational Perspective by Yian Ma Abstract: Efficient Exploration is often the bottleneck for solving sequential decision making problems. Many different approaches have […]
Seminar: Machine Learning for Biomimetic Nanoparticles and Fibrous Nanocomposites
ZoomID: https://cuboulder.zoom.us/j/96007553384 Password:i-aim Nicholas Kotov, University of Michigan "Machine Learning for Biomimetic Nanoparticles and Fibrous Nanocomposites" Abstract: TBA About the Speaker: TBA
Seminar: Machine Learning for Force Field Parameterization – Application to 2D Materials
Title: Machine learning for force field parameterization -- Application to 2D materials Speaker: Horacio Espinosa (Northwestern University) Abstract: The parameterization of interatomic potentials for molecular dynamics (MD) simulations has long […]