🍪Alert! Peak computer graphics simulation is this new paper from SIGGRAPH Asia on baking bread, cookies, and pancakes. Delicious. math.ucla.edu/~myding/papers…

Interestingly enough this video about coffee has good commentary on the flaws of the academic research system. Also Patriot Act is an amazing show. youtu.be/6HsC3wsTxms

Never thought I'd miss the common application but after filling out ~10 PhD applications in a weekend here we are

Hi Twitter! I got my green card too close to neurips and then signed up for the lottery but it’s too late and they say not likely to work out. Is there any company or wiml related grant or quota or someone who can’t make it who can help me go instead?

I'll be in Shenzhen for a week and a half for QIP 2020! If anyone has recommendations for things to do there let me know

My landlord gave us See's candies for a Christmas gift so I'm officially never leaving

Highly recommend watching Maria's talks at IPAM or NeurIPS, very interesting stuff

I am a fan of this logo

Timely workshop! Deep learning scales up PDEs for complex systems (Schrodinger, Navier-Stokes/Euler, dynamic systems, cosmology) and PDEs theory improves DL (ResNets are discretized ODEs/transport equation that can be regularized for adversarial robustness).

At Tesla Giga Shanghai NSFW!!

Slides and videos for the #qip2020 talks are now online at szpclab.com/qip2020#/progr…

This IPAM workshop on learning and emergence in molecular systems was really spectacular and a lot of fun!

Papers before PhD are terrible metrics of future success and research potentials. Three of my best PhD graduates had ZERO top conference papers when they came in. 🤷

Great new work by Josh Rackers Lucas Tecot Mario Geiger Prof. Tess Smidt Sandia National Labs UCLA Computer Science Berkeley Lab Computing Sciences Area MIT EECS - 'A recipe for cracking the #quantum scaling limit with machine learned electron densities' - bit.ly/3IzzUiD #machinelearning #compchem #AI #neuralnetworks #HPC

Most days LinkedIn is worthless, but... some days your former student messages you out of the blue, and you find out they've become an incredible software engineering and mathematician, and they somehow know your ML work, and it just makes your whole life feel whole.

Engage in interdisciplinary research: Leveraging knowledge from other fields brings new ideas. See Wenhu Chen's thread on NLP + X. Do not only read NLP papers. Read broadly in STEM and outside STEM.

Do you work on variational quantum algorithms or quantum machine learning? If so, please check our latest article: arxiv.org/abs/2312.09121 Here, we ask: Are barren plateau-free models classically simulable? Should we rethink variational QC as a whole? LONG 🧵 below 1/n

#7 #MOSTREAD in 2023 with 2017 downloads! 'A recipe for cracking the #quantum scaling limit with machine learned.....' by by Josh Rackers Lucas Tecot Mario Geiger Prof. Tess Smidt Sandia National Labs UCLA Computer Science Berkeley Lab Computing Sciences Area MIT EECS bit.ly/3IzzUiD #machinelearning #compchem #AI #HPC