Search Results for author: David Begert

Found 2 papers, 1 papers with code

Multi-level Residual Networks from Dynamical Systems View

no code implementations ICLR 2018 Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert

Deep residual networks (ResNets) and their variants are widely used in many computer vision applications and natural language processing tasks.

General Classification Image Classification

Reversible Architectures for Arbitrarily Deep Residual Neural Networks

2 code implementations12 Sep 2017 Bo Chang, Lili Meng, Eldad Haber, Lars Ruthotto, David Begert, Elliot Holtham

In this work, we interpret deep residual networks as ordinary differential equations (ODEs), which have long been studied in mathematics and physics with rich theoretical and empirical success.

Image Classification

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