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Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
A consistent algorithmic framework for structured machine learning
Presenter
- Lorenzo Rosasco
April 29, 2019
IPAM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
Quantitative Methods for High-Throughput Live Cell Imaging
Presenter
- Jens Rittscher
March 28, 2017
MBI
Thermostatic Controls for Noisy Gradient Systems and Applications to Machine Learning
Presenter
- Ben Leimkuhler
July 30, 2015
ICERM
Software Ecosystems for High-Performance Computing: Reflections, Challenges and Opportunities
Presenter
- Lois McInnes
September 14, 2025
ICERM
Computationally efficient uncertainty quantification for sparse Bayesian learning
Presenter
- Jan Glaubitz
May 8, 2025
ICERM
Michele Pavanello - Learning functional theories of the 1- and 2-electron reduced density matrices
Presenter
- Michele Pavanello
April 1, 2025
IPAM
When big networks are not enough: physics, multifidelity and kernels
Presenter
- Panos Stinis
March 24, 2024
ICERM
Homotopy Continuation Techniques for Optimization in Variational Inference
Presenter
- Emma Cobian
December 15, 2023
IMSI