Alex Gabel (@gabel_alex) 's Twitter Profile
Alex Gabel

@gabel_alex

Physics. Film. AI. et al.

ID: 2807077217

calendar_today05-10-2014 08:12:53

26 Tweet

300 Followers

99 Following

Efstratios Gavves (@egavves) 's Twitter Profile Photo

πŸ“’πŸ“’πŸ“’ Vacancy alert: Interested in Space-time Neural Nets & Dynamical Systems, chaos theory, (stochastic) Partial Differential Equations? Apply for a #PhD at #UvA by May 25 πŸ‘‡ #ICLR2021 #ICCV2021 #ICML2021 #NeurIPS2021 #deeplearning uva.nl/en/content/vac… Please, share!

Fabian Dablander (@fdabl.bsky.social) (@fdabl) 's Twitter Profile Photo

In a new blog post, I summarize and reflect on some of the themes of our Simulation-based Science colloquium, which we recently concluded UvA Institute for Advanced Study. I learned a lot from our excellent speakers, and I am excited to see what future iterations will hold! fabiandablander.com/Simulation-bas…

Alex Gabel (@gabel_alex) 's Twitter Profile Photo

I’m at ICML in Hawaii this week! πŸ„β€β™‚οΈ 🌸 β˜€οΈ Let me know if you’re around and want to meet up β˜•οΈ We’re presenting our work on Neural Symmetry Detection on Friday at the TAG-ML poster session πŸ€– πŸ“ #ICML2023 Link: arxiv.org/abs/2307.01583

David W. Romero (@davidwromero) 's Twitter Profile Photo

Tired of tuning neural architectures by hand every time you have a new dataset, modality? Meet πƒππ€π«πœπ‘, a method that jointly learns: β€’ The size of all conv kernels β€’ The width of all layers β€’ Downsampling layers & β€’ The depth of the nets all by backpropagation! πŸ”₯

Tired of tuning neural architectures by hand every time you have a new dataset, modality?

Meet πƒππ€π«πœπ‘, a method that jointly learns:
β€’ The size of all conv kernels
β€’ The width of all layers
β€’  Downsampling layers &
β€’ The depth of the nets
all by backpropagation! πŸ”₯
Alex Gabel (@gabel_alex) 's Twitter Profile Photo

Check out our poster on Neural Symmetry Detection this morning at TAG-ML! (Room 317B at 11.10am) TAGinDS #ICML2023 Work with: @klein_vick Riccardo Valperga @kn_webster Jeroen Lamb @RickQuax & Efstratios Gavves arxiv.org/abs/2307.01583

Hazel Doughty (@doughty_hazel) 's Twitter Profile Photo

I have two #PhD openings in #ComputerVision on 'Detailed Video Understanding' at Leiden Computer Science Universiteit Leiden. Apply before 10th November. More info πŸ‘‡ universiteitleiden.nl/en/vacancies/2…

David M. Knigge (@davidmknigge) 's Twitter Profile Photo

The UvA Amsterdam and ELLIS are starting a masterclass series where experts explain all about their favourite topics in and around Machine Learning. Join us for the first on March 6th; "Differential Geometry for Deep Learning" masterclass by Alex Gabel. ✨ πŸ‘‡

The <a href="/UvA_Amsterdam/">UvA Amsterdam</a> and <a href="/ELLISforEurope/">ELLIS</a> are starting a masterclass series where experts explain all about their favourite topics in and around Machine Learning.

Join us for the first on March 6th; "Differential Geometry for Deep Learning" masterclass by <a href="/gabel_alex/">Alex Gabel</a>. ✨

πŸ‘‡
Machine Learning: Science and Technology (@mlstjournal) 's Twitter Profile Photo

Great new work by Alex Gabel Rick Quax and Efstratios Gavves ComputationalSciLab UvA Institute for Advanced Study UvA Amsterdam - 'Data-driven Lie point #symmetry detection for continuous #dynamicalsystems' -iopscience.iop.org/article/10.108… #machinelearning #complexity #datascience #compphys #AI #neuralnetworks #PDEs #informatics

Great new work by <a href="/gabel_alex/">Alex Gabel</a> Rick Quax and <a href="/egavves/">Efstratios Gavves</a> <a href="/UvA_CSL/">ComputationalSciLab</a> <a href="/UvA_IAS/">UvA Institute for Advanced Study</a> <a href="/UvA_Amsterdam/">UvA Amsterdam</a> - 'Data-driven Lie point #symmetry detection for continuous #dynamicalsystems' -iopscience.iop.org/article/10.108… #machinelearning #complexity #datascience #compphys #AI #neuralnetworks #PDEs #informatics
Phillip Lippe (@phillip_lippe) 's Twitter Profile Photo

Do you want to train massive deep learning models with ease? Our 10 new tutorial notebooks of our popular UvA DL course show you how, implementing data, pipeline and tensor parallelism (and more) from scratch in JAX+Flax! πŸš€πŸš€ Check them out here: uvadlc-notebooks.readthedocs.io/en/latest/tuto… 🧡 1/11

Do you want to train massive deep learning models with ease? Our 10 new tutorial notebooks of our popular UvA DL course show you how, implementing data, pipeline and tensor parallelism (and more) from scratch in JAX+Flax! πŸš€πŸš€ 
Check them out here: uvadlc-notebooks.readthedocs.io/en/latest/tuto…
🧡 1/11
David M. Knigge (@davidmknigge) 's Twitter Profile Photo

πŸ—“οΈ Reminder! Phillip Lippe's tutorial on training massive deep learning models is happening this afternoon at 17:00 CET in C0.110 SP904. Also live-streamed over zoom. For info and links: thedeepthinkinghour.github.io ✨

ELLIS Amsterdam (@ellis_amsterdam) 's Twitter Profile Photo

πŸ’₯ We are excited that David W. Romero (NVIDIA) will talk about 'Beyond Transformers: Exploring Subquadratic Long-Context Architectures' at the upcoming Deep Thinking Hour Tutorial! πŸ“… Thu, April 11th ⏰️09:00 - 11:00 πŸ“L1.01 of LAB42 UvA Come and deep think with us! 🏍

πŸ’₯ We are excited that <a href="/davidwromero/">David W. Romero</a> (<a href="/nvidia/">NVIDIA</a>) will talk about 'Beyond Transformers: Exploring Subquadratic Long-Context Architectures' at the upcoming Deep Thinking Hour Tutorial!

πŸ“… Thu, April 11th 

 ⏰️09:00 - 11:00

πŸ“L1.01 of <a href="/Lab42UvA/">LAB42 UvA</a> 

Come and deep think with us! 🏍
David M. Knigge (@davidmknigge) 's Twitter Profile Photo

✨Good news!Β The lovely Alex Gabel is back to give the second lecture of his tutorial series on "Differential Geometry for Deep Learning" at The Deep Thinking Hour. In this follow-up Alex will treat a bunch of new topics, as well as showcasing a number of practical applications πŸ‘‡

✨Good news! The lovely <a href="/gabel_alex/">Alex Gabel</a> is back to give the second lecture of his tutorial series on "Differential Geometry for Deep Learning" at <a href="/deepthinkhour/">The Deep Thinking Hour</a>.

In this follow-up Alex will treat a bunch of new topics, as well as showcasing a number of practical applications πŸ‘‡