Gabriele Cesa @_gabrielecesa_
PhD student @ Qualcomm AI Research, University of Amsterdam. Developing https://t.co/1We9CevybR github.com/Gabri95 Amsterdam, The Netherlands Joined February 2017-
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We are very excited to announce that our workshop “#GRaM: Geometry-grounded Representation learning and generative Modeling” has been accepted to #ICML 2024. We invite papers on the following topics:
Soon we will be adding a lot of new canonicalization ideas, better documentation and new data domains and tasks. Huge thanks to @_gabrielecesa_ @maurice_weiler for e2cnn and @CongyueD for Vector Neurons 🙏 Also, many thanks to @Mila_Quebec and @ServiceNowRSRCH for the compute😃
Soon we will be adding a lot of new canonicalization ideas, better documentation and new data domains and tasks. Huge thanks to @_gabrielecesa_ @maurice_weiler for e2cnn and @CongyueD for Vector Neurons 🙏 Also, many thanks to @Mila_Quebec and @ServiceNowRSRCH for the compute😃
Implicit steerable kernels are taking off! 🚀 We significantly simplified the code and now support steerable convolutions on both regular and irregular grids! 🛠️Code: github.com/maxxxzdn/impli… 🗒️ Google Colab tutorial: colab.research.google.com/drive/1mE_9GRW… 🧵1/8
Glad to announce our new preprint with C. Hillar, D. Kragic, and @naturecomputes ! arxiv.org/abs/2312.08550 We show via group theory how Fourier features emerge in invariant neural networks -- a step towards a mathematical understanding of representational universality. 🧵1/n
Come check our 2 recent works at the Symmetry and Geometry in Neural Representations workshop at #Neurips23 Neural Lattice Reduction - @giovannimarchet Pratik Kumar @behboodiarash Algebraic Topological Networks - @behboodiarash @QCOMResearch
Come visit our poster this afternoon!
Looking for an internship? Interested in geometric or causal priors for robotics, inductive biases at scale, or one of many other ML topics? Come work with us in Amsterdam! careers.qualcomm.com/careers?pid=44…
We proudly present our 524 page book on equivariant convolutional networks. Coauthored by Patrick Forré, @erikverlinde and @wellingmax. maurice-weiler.gitlab.io/#cnn_book [1/N]
Are you dealing with geometric data, be it from molecules or robots? Would you like inductive biases *and* scalability? Our Geometric Algebra Transformer (GATr 🐊) may be for you. New work w/ @pimdehaan, Sönke Behrends, and @TacoCohen: arxiv.org/abs/2305.18415 1/9
@_gabrielecesa_ Not all the layers/modules have been ported so pull requests are obviously welcome if people are keen on contributing! :)
escnn is now available in Jax too! Amazing work @MathieuEmile , thanks a lot for your contribution!
escnn is now available in Jax too! Amazing work @MathieuEmile , thanks a lot for your contribution!
Folks from @helmholtz_ai, I will talk about group equivariant DL focusing on scientific applications tomorrow at the FFT seminar. I will present the result of my collaboration with @_gabrielecesa_ - a simple yet flexible way to implement Steerable CNNs for an arbitrary group.
How does equivariance affect generalization? Check our #NeurIPS paper "A PAC-Bayesian Generalization Bound for Equivariant Networks" openreview.net/pdf?id=6dfYc2I… or come to poster 713 today in Hall J. Work done with Arash Behboodi and @TacoCohen
Our tutorial on Graph Rewiring: From Theory to Applications in Fairness has been accepted on @LogConference 🎉! See you virtually on Dec 11 at 16 CET with @Fescolano @nuriaoliver #EdwinHancock and a Panel with @PetarV_93 @marinkazitnik @Francesco_dgv 🔗ellisalicante.org/tutorials/Grap…
Our tutorial on Graph Rewiring: From Theory to Applications in Fairness has been accepted on @LogConference 🎉! See you virtually on Dec 11 at 16 CET with @Fescolano @nuriaoliver #EdwinHancock and a Panel with @PetarV_93 @marinkazitnik @Francesco_dgv 🔗ellisalicante.org/tutorials/Grap…
🚨 Surprise!!! We are delighted to announce the GeoMedIA panel 2022! Don’t miss it!! An astonishing line up of invited panellists See you this Friday in Amsterdam! @erikjbekkers @jelmerwolterink @aviles_rivero
Dear GDL friends! Here's a🧵on our mini-course ✨Group Equivariant Deep Learning✨ See uvagedl.github.io for YT playlist (21 vids), colabs, slides, lecture notes. Topics: 1⃣regular & 2⃣steerable g-convs 3⃣equivariant graph NNs 4⃣geometric latent space models 1/14
Come join our poster session on our ICLR spotlight paper "Geometric and Physical Quantities Improve E(3) Equivariant Message Passing"! Here's a short pitch [1/6] x.com/jo_brandstette…
Come join our poster session on our ICLR spotlight paper "Geometric and Physical Quantities Improve E(3) Equivariant Message Passing"! Here's a short pitch [1/6] x.com/jo_brandstette…
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@ylecun or x.com/npparikh/statu…
There’s a phase people can go through when they understand the power of mathematical optimization, where you go, wait, everything is optimization! 🤯 No shit, in a sense. That’s actually childish and uninteresting and totally useless. The students get over it in a few minutes.
Non è censura, 1800 euro per un monologo sono davvero tanti ora che la Rai non la guarda più nessuno
Letteralmente "questo ma con un'accezione positiva".
Investimenti in ricerca in Francia nel 2022 nel nucleare dieci volte superiori rispetto al solare
“The European commission has been urged to investigate alleged attempts by Italy’s far-right government to turn the public broadcaster, Rai, into a “megaphone” for the ruling parties ahead of the European elections”
How to build deterrence: things not to do. A few hours after Iran's attack on Israel almost the entire Italian government-which holds the rotating presidency of the G7 - was at Vinitaly-the Verona wine fair.
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.
For details checkout our website: gram-workshop.github.io follow our amazing organizing team for updates. @erikjbekkers @a_ppln @sekoumarkaba @RobinSFWalters @HLawrenceCS @jmtomczak @StefanieJegelka
Excited to announce that we're organizing a workshop on Geometric Deep Learning at #ICML! Topics range from generative models to equivariant networks and structured representations 🌐 Looking forward to receiving your submissions and seeing you there 🌟 gram-workshop.github.io
I am very happy to give this tutorial next week! We will discuss several developments on sub-quadratic long-context architectures such as SSMs, CKConv, Hyena and Mamba. Thank you @Ellis_Amsterdam for having me!
💥 We are excited that @davidwromero (@nvidia) will talk about 'Beyond Transformers: Exploring Subquadratic Long-Context Architectures' at the upcoming Deep Thinking Hour Tutorial! 📅 Thu, April 11th ⏰️09:00 - 11:00 📍L1.01 of @Lab42UvA Come and deep think with us! 🏍
This was an outstanding and inspiring lecture by @davidwromero ! If you want to get up to speed with SSMs / long-conv models (CKConv, Hyena, Mamba, etc) —which beat transformers, please watch back the recordings! My take-home as usual is: convolution is all you need! 🙃
I am very happy to give this tutorial next week! We will discuss several developments on sub-quadratic long-context architectures such as SSMs, CKConv, Hyena and Mamba. Thank you @Ellis_Amsterdam for having me!
I ricchi mangiano meglio! (semicit.) 🎪
Il ministro Lollobrigida ed il ragionamento, perfettibile (...), sull'olio da 30 euro: vi comprate il vino a quelle cifre?, bene, spendeteli pure per l'extravergine
it's of course plausible enough that these terms are suggestive of useful things for other contexts and readers, but i would be surprised if i were the only one to have this sort of reaction.
i'm generally a bit iffy on naming conventions which suggest too concretely an understanding of what the internal layers are meant to represent (which i can accept is a bit miserly).
if "query", "key", and "value" eventually also go this way, then i'll read it as a hint that somebody up there likes me.
speculation, but my sense is that compared to a few years ago, people are more sympathetic to the view that these diagrams are not particularly useful / do not particularly emphasise the salient features of the models in question. if accurate, i think that this is probably good.
I saw the end of the world, and witnessed the sonic recreation of the end of the world, all in the same month 🤯 Raving to @Pendulum live is always a unique vibe, I'm lucky enough to have done it twice now 🥳 ...also it's a fantastic way to recover after rebuttal writing 😇
E anche oggi il padrone di casa qui fa una figuraccia
Warmest congratulations on defending your PhD, @bob_smiley_! We are extremely happy to have you in @Data_AI_TUe 🤩
Congratulations to @bob_smiley_ on a great defense! Thanks to @RobinSFWalters , @jmtomczak, @pgroth , @egavves, and @erikjbekkers for serving on the committe. Also a special thanks to Clara de Paolis Kaluza for flying in the Boston to serve as paranimf for the proceedings.