Work

Differentiable Implicit Layers

Year: 2020

Type: conference-paper

Abstract: In this paper, we introduce an efficient backpropagation scheme for non-constrained implicit functions. These functions are parametrized by a set of learnable weights and may optionally depend on some input; making them perfectly suitable as a learnable layer in a neural network. We demonstrate our scheme on different applications: (i) neural ODEs with the implicit Euler method, and (ii) system identification in model predictive control.

Source: University of Southern Denmark Research Portal (University of Southern Denmark)

DOI: 10.48550/arxiv.2010.07078

Authors: Look, Andreas, Doneva, Simona, Kandemir, Melih, Gemulla, Rainer, Peters, Jan

Institution: University of Southern Denmark

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3092857104

FWCI: 0.191

Cites: 27

Cited by: 2

Related to: 10