A quotation from Carlyle
For if a good speaker — an eloquent speaker — is not speaking the truth, is there a more horrid kind of object in creation?
Thomas Carlyle (1795-1881) Scottish essayist and historian
Speech (1866-04-02), “On the Choice of Books,” Inaugural Address as Lord Rector, University
More about this quote: wist.info/carlyle-thomas/732/
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Carlyle, Thomas - Speech (1866-04-02), "On the Choice of Books," Inaugural Address as Lord Rector, University of Edinburgh | WIST Quotations
For if a good speaker -- an eloquent speaker -- is not speaking the truth, is there a more horrid kind of object in creation? Often rendered: "Can there be a more horrible object in existence than an eloquent man not speaking the truth?" Regarding oration/declamation as an academic subject,…
The Numerical Analysis of Differentiable Simulation: Automatic Differentiation Can Be Incorrect - Stochastic Lifestyle
ISCL Seminar Series The Numerical Analysis of Differentiable Simulation: How Automatic Differentiation of Physics Can Give Incorrect Derivatives Scientific machine learning (SciML) relies heavily on automatic differentiation (AD), the process of constructing gradients which include machine learning integrated into mechanistic models for the purpose of gradient-based optimization. While these differentiable programming approaches pitch an idea of “simply put the simulator into a loss function and use AD”, it turns out there are a lot more subtle details to consider in practice. In this talk we will dive into the numerical analysis of differentiable simulation and ask the question: how numerically stable and robust is AD? We will use examples from the Python-based Jax (diffrax) and PyTorch (torchdiffeq) libraries in order to demonstrate how canonical formulations ... READ MORE
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