Barak A. Pearlmutter

Gradients without Backpropagation

Feb 17, 2022
Atılım Güneş Baydin, Barak A. Pearlmutter, Don Syme, Frank Wood, Philip Torr

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* 10 pages, 6 figures

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Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE

Oct 30, 2021
Mansura Habiba, Barak A. Pearlmutter

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* Proc. of the International Conference on Electrical, Computer and Energy Technologies (ICECET)

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Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint

Oct 30, 2021
Mansura Habiba, Barak A. Pearlmutter

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* Proc. of the International Conference on Electrical, Computer and Energy Technologies (ICECET)

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ECG synthesis with Neural ODE and GAN models

Oct 30, 2021
Mansura Habiba, Eoin Borphy, Barak A. Pearlmutter, Tomas Ward

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* Proc. of the International Conference on Electrical, Computer and Energy Technologies (ICECET), 9-10 December 2021, Cape Town-South Africa

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HeunNet: Extending ResNet using Heun's Methods

May 14, 2021
Mehrdad Maleki, Mansura Habiba, Barak A. Pearlmutter

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* Irish Signals & Systems Conference 2021

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Neural Ordinary Differential Equation based Recurrent Neural Network Model

May 20, 2020
Mansura Habiba, Barak A. Pearlmutter

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Neural ODEs for Informative Missingness in Multivariate Time Series

May 20, 2020
Mansura Habiba, Barak A. Pearlmutter

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Automatic differentiation in machine learning: a survey

Feb 05, 2018
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind

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* Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul, Jeffrey Mark Siskind. Automatic differentiation in machine learning: a survey. The Journal of Machine Learning Research, 18(153):1--43, 2018
* 43 pages, 5 figures

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Tricks from Deep Learning

Nov 10, 2016
Atılım Güneş Baydin, Barak A. Pearlmutter, Jeffrey Mark Siskind

* Extended abstract presented at the AD 2016 Conference, Sep 2016, Oxford UK

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