I am super excited to announce that I will be joining Microsoft Research (MSR) as a distinguished scientist on September 1, 2021.
- After two good years at Microsoft Research AI4Science, I am very excited to announce that as of this month I have, together with Chad Edwards, co-founded a new startup in the field of molecular and materials discovery.
- Even after 22 years it still hurts to get your favorite papers rejected. I recall the first paper on ICA I submitted to NeurIPS that got mercilessly rejected. I felt awful! To all those rejected NeurIPS authors: don’t despair, time will average out the wrinkles! Hang in there!
- When will academia stop wasting each other’s time asking for recommendation letters for promotions, job applications, grant applications, VISA applications? The list is endless. There must be better ways to reveal those few bits of information we want to share about candidates.
- Congratulations to dr. Thomas Kipf who just successfully defended his thesis through zoom. He graduated CUM LAUDE!!
- Just watched Michael Bronstein's keynote at ICLR. It's done so perfectly well that it's almost scary. Absolutely amazing talk that everyone should see.
- I wrote this response to Rich Sutton's "The Bitter Lesson" staff.fnwi.uva.nl/m.welling/wp-c…
- I have noticed that the “review process” is very similar to mcmc: the further away from the current state you propose the less likely it is to be accepted”.
- Can we stop the “X is all you need” meme in ML. It literally says to stop thinking about everything else, and that’s just counterproductive.
- And while @GaryMarcus and @ylecun are debating who claims what and who references who enough, I watched a brilliant talk by Gabor Csanyi on how deep learning is revolutionizing chemistry.
- I am humbled and honored to learn that our paper received the Test of Time Award at ICML. It is wonderful to see how a simple idea can grow into a rich research field. Thanks to Yee Whye for being the best collaborator one can wish, and to the committee for choosing our paper.🧵We are pleased to announce the ICML 2021 paper awards. Congratulations to all authors! Test of the Time Award from ICML 2011: • Max Welling and Yee Whye Teh 📜Bayesian Learning via Stochastic Gradient Langevin Dynamics
- A simple framework that unifies many well known MCMC algorithms. If you read this you can clean up your brain to make place for new stuff (useful for when you are over 50).Our #icml2020 paper "Involutive MCMC: a Unifying Framework" is now available on arxiv arxiv.org/abs/2006.16653. It describes many MCMC algorithms from a single perspective. Work with @wellingmax, @eeevgen, Dmitry Vetrov
- I can really get used to giving talks over Zoom. No travel, no lost time, no air pollution and you can record and share your own talk! Here is the talk I gave "at" MIT CSAIL's Embodied Intelligence group. youtube.com/watch?v=JWswIt…
- I am extremely excited and proud to share with you the ELLIS PhD program. To students around the world: please apply. This will hopefully become one of the most competitive PhD programs in the world. ellis.eu/en/news/ellis-…
