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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
A Numerical Analysis Perspective on Deep Neural Networks
Presenter
- Lars Ruthotto
September 25, 2019
IPAM
Automatic Feature Extraction from Hyperspectral Imagery using Deep Recurrent Neural Networks
Presenter
- Joshua Agar
September 25, 2019
IPAM
Bounding and Counting Linear Regions of Deep Neural Networks
Presenter
- Thiago Serra
May 23, 2019
IPAM
Shared Autonomous Fleet Services and Multimodal Urban Mobility: Optimization, Prediction and Dynamic Network Modeling
Presenter
- Hani Mahmassani
February 28, 2019
IPAM