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Neural network verification as piecewise linear optimization
Presenter
- Joseph Huchette
February 23, 2021
IPAM
Almost-sure exponential mixing in stochastic fluid mechanics and Batchelor-regime passive scalar turbulence
Presenters
- Jacob Bedrossian
- Alex Blumenthal
January 14, 2021
IPAM
Assumption-free prediction intervals for black-box regression algorithms
Presenter
- Aaditya Ramdas
April 21, 2020
IAS
Connectome-based modeling of real world clinical outcomes in addictions
Presenter
- Sarah Yip
February 19, 2020
IPAM
Deep Learning Dive into the Scanning Transmission Electron Microscopy: Materials Design, Learning Physics, and Atomic Manipulation
Presenter
- Sergei Kalinin
October 17, 2019
IPAM
Machine-learning for materials and physics discovery through symbolic regression and kernel methods
Presenter
- Richard Hennig
September 26, 2019
IPAM
Exploiting the 3D Geometry and the Structure of the World in Deep Learning
Presenter
- Ersin Yumer
May 24, 2019
IPAM
Bridging Deep Neural Networks and Differential Equations for Image Analysis and Beyond
Presenter
- Bin Dong
May 1, 2019
IPAM
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression
Presenter
- Xiaoye Li
September 26, 2018
IPAM
Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems
Presenter
- Karthik Duraisamy
March 8, 2018
IMA
Molecular organizations in liquid crystals: packing with attraction
Presenter
- Claudio Zannoni
January 17, 2018
IMA
