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Euclidean Neural Networks* for Emulating Ab Initio Calculations and Generating Atomic Geometries *also called Tensor Field Networks and 3D Steerable CNNs
Presenter
- Tess Smidt
September 27, 2019
IPAM
Likelihood free generative modeling for high energy physics
Presenter
- Benjamin Nachman
September 27, 2019
IPAM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
System software and architecture assist for application-directed data views
Presenter
- Maya Gokhale
November 26, 2018
IPAM
Alternatives to IEEE: NextGen Number Formats for Scientific Computing
Presenter
- Peter Lindstrom
October 15, 2018
IPAM
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression
Presenter
- Xiaoye Li
September 26, 2018
IPAM
Deep Learning for Scientific Computing: Recent Success, challenges, and next steps
Presenter
- Brian Van Essen
September 18, 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
Build It and They Will Come: How Hardware Influences Large-Scale Simulation
Presenter
- Jeffrey Hittinger
September 14, 2018
IPAM