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Direct and dual Information Bottleneck frameworks for Deep Learning
Presenter
- Tali Tishby
February 24, 2020
IAS
Convolutional autoencoders and LSTMs - using deep learning to overcome Kolmogorov-width limitations and accurately model errors in nonlinear model reduction
Presenter
- Kevin Carlberg
February 21, 2020
ICERM
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry
Presenter
- Daniel Durstewitz
February 18, 2020
IPAM
Deep Learning-based MR Image Reconstruction and Contrast Conversion
Presenter
- Dosik Hwang
January 28, 2020
IPAM
Machine learning for molecular simulations: priors and predictive constraints
Presenter
- Tristan Bereau
October 18, 2019
IPAM
Metric learning for persistence-based summaries and application to graph classification
Presenter
- Yusu Wang
April 29, 2019
IPAM
Learning Discrete Markov Random Fields with Nearly Optimal Runtime and Sample Complexity
Presenter
- Adam Klivans
March 20, 2019
ICERM
Learned Visual Sensors and Probabilistic Measurements
Presenter
- Ayan Chakrabarti
March 19, 2019
ICERM
Towards Joint Understanding of Images and Language
Presenter
- Svetlana Lazebnik
February 19, 2019
ICERM
Partial Differential Equations Approaches to Optimization and Regularization of Deep Neural Networks
Presenter
- Adam Oberman
November 2, 2018
ICERM
Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition
Presenter
- Karen Willcox
October 15, 2018
IPAM