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Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Nonsmooth Optimization on Riemannian Manifolds and Manifold-Valued Data Processing
Presenter
- Ronny Bergmann
April 4, 2019
IPAM
Improved List-Decoding and Local List-Decoding Algorithms for Polynomial Codes
Presenter
- Swastik Kopparty
March 5, 2019
IAS
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
Architectural Implications of Communication-Avoiding Algorithms
Presenter
- James Demmel
November 27, 2018
IPAM
High Performance Computing and Data science interfaces to predict, control and understand Fluid Mechanics
Presenter
- Petros Koumoutsakos
November 8, 2018
IPAM
Randomized projection methods for reducing communication in matrix computations
Presenter
- Per-Gunnar Martinsson
September 26, 2018
IPAM
Is non-convex optimization really hard? A couple of recent stories
Presenter
- Emmanuel Candès
September 26, 2018
IPAM
Non-linear dimension reduction in the age of big data
Presenter
- Marina Meila
September 26, 2018
IPAM
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set
Presenter
- Brian Van Essen
September 17, 2018
IPAM
Snow Business: Scientific Computing in the Movies and Beyond
Presenter
- Joseph Teran
December 5, 2017
IMA