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Evaluating Lossy Compression Rates of Deep Generative Models
Presenter
- Roger Grosse
April 15, 2020
IAS
Integrating optimization, constraints, and control within deep learning models
Presenter
- Zico Kolter
February 26, 2020
IPAM
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
Momentum in Stochastic Gradient Descent and Deep Neural Nets
Presenter
- Bao Wang
January 29, 2020
IPAM
Geometric Understanding of Supervised and Unsupervised Deep Learning for Biomedical Image Reconstruction
Presenter
- Jong Chul Ye
January 28, 2020
IPAM
Splines and imaging: From compressed sensing to deep neural networks
Presenter
- MIchael Unser
January 27, 2020
IPAM
An Information Theoretic Approach to Validate Deep Learning-Based Algorithms
Presenter
- Gitta Kutyniok
October 30, 2019
IPAM
Is optimization the right language to understand deep learning?
Presenter
- Sanjeev Arora
October 15, 2019
IAS
PAC-Bayesian approaches to understanding generalization in deep learning
Presenter
- Karolina Dziugaite Roy
October 15, 2019
IAS
Solving Quantum Many-Body Problems with Deep Neural Networks
Presenter
- Han Pu
September 27, 2019
IPAM