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Interpretable deep-learning models to help achieve the Sustainable
Development Goals

Interpretable deep-learning models to help achieve the Sustainable Development Goals

24 August 2021

Ricardo Vinuesa

Papers citing "Interpretable deep-learning models to help achieve the Sustainable Development Goals"

6 / 6 papers shown

Title
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 45 471 0 19 Jun 2020
A socio-technical framework for digital contact tracing Ricardo Vinuesa Andreas Theodorou Manuela Battaglini Virginia Dignum 6 44 0 17 May 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 50 304 0 08 Jan 2020
The role of artificial intelligence in achieving the Sustainable Development Goals Ricardo Vinuesa Hossein Azizpour Iolanda Leite Madeline Balaam Virginia Dignum S. Domisch Anna Felländer S. Langhans Max Tegmark F. F. Nerini 16 1,471 0 30 Apr 2019
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation Marco Ancona Cengiz Öztireli Markus Gross FAtt TDI 42 224 0 26 Mar 2019
Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy Thomas Brox SSL FAtt 48 662 0 09 Jun 2015

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