Philipp Grohs
@GrohsPhilipp
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Full Professor of Mathematical Data Science at @univienna and group leader at @oeaw.
Joined May 2021
📢 @MScherbela, @GrohsPhilipp, @LeonGerard5 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
Nature Computational Science - Investigating crystalline materials often requires calculations for many variations of a system, substantially increasing the computational burden. By training a...
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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!
I am truly excited to share our latest work with @MScherbela, @GrohsPhilipp, and @guennemann on "Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems"! https://t.co/By8CetKwHU
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I am truly excited to share our latest work with @MScherbela, @GrohsPhilipp, and @guennemann on "Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems"! https://t.co/By8CetKwHU
arxiv.org
We present finite-range embeddings (FiRE), a novel wave function ansatz for accurate large-scale ab-initio electronic structure calculations. Compared to contemporary neural-network wave...
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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".
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Awesome news!
#AITHYRA is born! 🎉 OeAW is founding a new institute at the intersection of #AI & #biomedicine – the AITHYRA Institute. Meet the new founding director and DeepMind Professor of Artificial Intelligence @mmbronstein. Watch now ➡️ https://t.co/rMlhu7GsaV
#boehringeringelheimstiftung
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🎉 Top rankings also in the subject ranking for #STEM departments of @univienna: - Physics: #48 out of 500 universities (2022: 301-400) - Mathematics: #34 out of 500 universities (2022: #27) Find the [German] press release here: ⬇
Die #univie bleibt die bestplatzierte Uni Österreichs im #ShanghaiRanking! Insgesamt konnte sich die Universität Wien in 7 akademischen Fachbereichen unter den Top 100 weltweit platzieren.👏 https://t.co/5XrvadEY09
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Learn about How well do we know #AI from @GrohsPhilipp et al. in our research magazine Rudolphina
rudolphina.univie.ac.at
The breakneck speed at which artificial intelligence is developing makes it difficult to predict where it is heading. Our researchers say: Instead of getting ever bigger and faster, we should now...
#AI develops in high speed and it is more than necessary to understand it - on a technical level as well as on a philosophical level. Philipp Grohs from @ds_vienna, @univienna proposes to move towards smaller, interpretable neural networks and to make these more intelligent.
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beyond proud of my (former) PhD student @julberner for being awarded a Promotio sub auspiciis Praesidentis rei publicae (see https://t.co/mfsV3bCFZW) by the President of Austria. This is a huge accomplishment!
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This is a great opportunity!! Please share and/or apply!
At the Faculty of Mathematics of @univienna, we are currently hiring a Tenure-Track Professor in the field of Mathematics of Data Science - Application deadline 15 April 2024. https://t.co/bJKQnQv7Jt
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This day comes a bit earlier than I expected
New York Times article on AlphaGeometry Geometry was my favorite subject in high school because solving them requires many step of reasoning and planning. Geometry problems however have been difficult for AI to solve. Our Nature paper shows my team’s progress in Geometry
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See also our recent @NeurIPSConf paper https://t.co/W1sGpOuorX which is a follow-up
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Happy to share that our paper "Towards a transferable fermionic neural wavefunction for molecules", jointly with @MScherbela and @LeonGerard5 has finally appeard in Nature Communications @NatureComms see
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Apply for my current (soon to be former) job! It's a pretty unique opportunity, so please DM me with any questions. https://t.co/Nhop1WXxeC
jobs.univie.ac.at
Scientific Coordinator [Post-Doc]
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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
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copying proof techniques without correctly attributing it is plagiarism.
We created a document summarising the most egregious examples of plagiarism from our papers in https://t.co/guFzYkBy9Y
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This is a great opportunity!
We are recruiting a Tenure-track Assistant Professor "Deep Learning Methods & Applications" for the AI Institute at the Medical University of Vienna. This is a university-funded position with full tenure track, startup & core funding. Details: https://t.co/W9nK1bVQUO
#ML #AI #job
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I am looking for excellent PhD students for my research group "Mathematical Data Science" [ https://t.co/iIsmLdHBai] at the University of Vienna @univienna . Excellent candidates are invited to apply via https://t.co/986vbN0hji Please spread the word!
jobs.univie.ac.at
University assistant predoctoral
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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 fĂĽr die Ă–ffnung der Radwege: https://t.co/dKYjIhaexK via @aufstehnat
mein.aufstehn.at
Die Stadt Wien hat Radrouten in der Lobau gesperrt. MĂĽhlleitner Radfahrer_innen haben damit ihren einzigen sicheren Radweg in die Stadt verloren. Der BĂĽrgermeister muss das Verbot aufheben!
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📢 Exciting news #teamtomo! We've updated our FakET preprint presenting a new method to simulate cryo-electron tilt-series, with L. Herrmann, @GrohsPhilipp, and @HaselbachLab. To celebrate, we've created a fun movie-style poster. Can you guess the movie? More in the 🧵.
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It was a pleasure hosting the first "Deep Learning meets Variational Monte Carlo" Workshop in Vienna, organized by @MScherbela @LeonGerard5 . It is great to see such an excellent and highly motivated community emerging in this exciting field.
dlvmc.mds.mat.univie.ac.at
Webpage for the mini-symposium on deep-learning-based Variational Monte Carlo, at University of Vienna from July 3-4 2023
@JannesNys Thanks everybody for joining. Was a pleasure organizing this and great to see all the amazing work in this community!
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