Philipp Grohs (@grohsphilipp) 's Twitter Profile
Philipp Grohs

@grohsphilipp

Full Professor of Mathematical Data Science at @univienna and group leader at @oeaw.

ID: 1395456381017276421

linkhttp://mds.univie.ac.at calendar_today20-05-2021 19:08:36

202 Tweet

520 Followers

162 Following

Philipp Grohs (@grohsphilipp) 's Twitter Profile Photo

It was a pleasure hosting the first "Deep Learning meets Variational Monte Carlo" Workshop in Vienna, organized by Michael Scherbela Leon Gerard . It is great to see such an excellent and highly motivated community emerging in this exciting field. dlvmc.mds.mat.univie.ac.at

Pavol Harar (@hararpavol) 's Twitter Profile Photo

📢 Exciting news #teamtomo! We've updated our FakET preprint presenting a new method to simulate cryo-electron tilt-series, with L. Herrmann, Philipp Grohs, and Haselbach lab. To celebrate, we've created a fun movie-style poster. Can you guess the movie? More in the 🧵.

📢 Exciting news #teamtomo! We've updated our FakET preprint presenting a new method to simulate cryo-electron tilt-series, with L. Herrmann, <a href="/GrohsPhilipp/">Philipp Grohs</a>, and <a href="/HaselbachLab/">Haselbach lab</a>. To celebrate, we've created a fun movie-style poster. Can you guess the movie? More in the 🧵.
Philipp Grohs (@grohsphilipp) 's Twitter Profile Photo

Mit schlechten Argumenten sperrte die Stadt Wien Radrouten in der #Lobau. Anrainer_innen verlieren damit nicht nur ein wichtiges Erholungsgebiet, sondern auch sichere Radwege in die Stadt. Unterschreibt hier für die Öffnung der Radwege: mein.aufstehn.at/petitions/ruck… via aufstehn

Philipp Grohs (@grohsphilipp) 's Twitter Profile Photo

I am looking for excellent PhD students for my research group "Mathematical Data Science" [mds.univie.ac.at] at the University of Vienna Universität Wien . Excellent candidates are invited to apply via jobs.univie.ac.at/job/University… Please spread the word!

Eugene Vinitsky 🍒🦋 (@eugenevinitsky) 's Twitter Profile Photo

Any academic institution could leap ahead in the ML race by building a large cluster and it’s slightly puzzling why they don’t try

Drew Dimmery (@drewdim) 's Twitter Profile Photo

Apply for my current (soon to be former) job! It's a pretty unique opportunity, so please DM me with any questions. jobs.univie.ac.at/job/Scientific…

Philipp Grohs (@grohsphilipp) 's Twitter Profile Photo

beyond proud of my (former) PhD student Julius Berner for being awarded a Promotio sub auspiciis Praesidentis rei publicae (see en.wikipedia.org/wiki/Sub_auspi…) by the President of Austria. This is a huge accomplishment!

beyond proud of my (former) PhD student <a href="/julberner/">Julius Berner</a> for being awarded a Promotio sub auspiciis Praesidentis rei publicae (see en.wikipedia.org/wiki/Sub_auspi…) by the President of Austria. This is a huge accomplishment!
University of Vienna STEM (@stem_univie) 's Twitter Profile Photo

🎉 Top rankings also in the subject ranking for #STEM departments of Universität Wien: - Physics: #48 out of 500 universities (2022: 301-400) - Mathematics: #34 out of 500 universities (2022: #27) Find the [German] press release here: ⬇

Philipp Grohs (@grohsphilipp) 's Twitter Profile Photo

Beyond proud that my former student Lukas Liehr received the Award of Excellence by the Austrian Ministry of Education, Science and Research, honoring the best PhD theses in Austria. Lukas well-deserved it for his outstanding work on "Phaseless Sampling of the STFT".

Beyond proud that my former student Lukas Liehr received the Award of Excellence by the Austrian Ministry of Education, Science and Research, honoring the best PhD theses in Austria. Lukas well-deserved it for his outstanding work on "Phaseless Sampling of the STFT".
Nicholas Gao (@n_gao96) 's Twitter Profile Photo

I am truly excited to share our latest work with Michael Scherbela, Philipp Grohs, and Stephan Günnemann on "Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems"! arxiv.org/abs/2504.06087

David Pfau (@pfau) 's Twitter Profile Photo

Fantastic work scaling up neural network VMC methods like FermiNet and Psiformer to previously impossible systems - you can start to tackle real challenging chemistry at this scale!

Nature Computational Science (@natcomputsci) 's Twitter Profile Photo

📢 Michael Scherbela, Philipp Grohs, Leon Gerard and colleagues present an approach that reduces the computational cost to model and compute crystalline materials, such as graphene or lithium hydride, by a factor of 50 compared with previous work. nature.com/articles/s4358…