2. A simple incompressible fluid solver that dramatically reduces the energy loss associated with advection-projection algorithms. This paper was a lot of fun to write; big props to my coauthors Jonas Zehnder and Bernhard Thomaszewski at the U de Montréal.
1. A method to simulate cloth with accurate frictional contact, using an adaptive refinement strategy and an implicit formulation for exact Coulomb friction. Most of the credit goes to lead author Jie Li and to our INRIA collaborators Gilles Daviet and Florence Bertails-Descoubes.
I apologize to the world for my role in the title of #04
The session titles at this year's SIGGRAPH are especially stupid :)
posting original source of "i don't like thing... ok" comic for future reference:
http://wealldraw.tumblr.com/post/41441002018/do-you-ever-just by https://www.jonnebartelds.com/
Doyle and Conway must have had a lot of fun writing this paper:
"In 1926 Lindenbaum and Tarski announced, in an infamous paper  that contained statements (without proof) of 144 theorems of set theory, that Lindenbaum had found a proof of division by three. Their failure to give any hint of a proof must have frustrated Sierpinski, for it appears that twenty years later he still did not know how to divide by three (cf. )."
Fun fact: There is a beautifully simple closed form for the expectation of a sigmoid applied to a Gaussian random variable. https://math.stackexchange.com/a/381375/856
Is your child practicing questionable machine learning? Know the signs—
lol: let's overfit lots
tbh: totally bogus hypothesis
btw: bias the weights
omg: 'obtain' more gpus
smh: singularity might happen
rofl: reference only friends & labmates
brb: beat ridiculous baseline
lmao: let mturkers answer obv
smdh: sorry my data's hardcoded
@christianp Is it possible to add a preview feature? Blind-writing \(\LaTeX\) requires either recklessness or hubris.
Assistant professor of computer science at IIT Delhi.
I'm just here for the TeX.
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