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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- Workshop at NeurIPS 2021, December 6–14, 2021
- We are sad to report that Thomas Frederick Coleman (1950 – 2021), a pioneer in AD, passed away on April 20.
- Minitutorial on AD at SIAM CSE21, March 3–4, 2021, virtual Conference, originally scheduled for Fort Worth, TX, USA
- POPL 2021 workshop on Languages for Inference, January 17, 2021, online