Automatic Differentiation (AD) is a technology for automatically augmenting computer programs, including arbitrarily complex simulations, with statements for the computation of derivatives, also known as sensitivities.
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- LAFI Workshop (at POPL 2019) with emphasis on AD, January 13–19, 2019, Cascais/Lisbon, Portugal
- 21st EuroAD Workshop, November 19–20, 2018, Jena, Germany
- Special issue on AD 2016 published,
- 8th SIAM Workshop on Combinatorial Scientific Computing June 6-8, 2018, Bergen, Norway