#Article 📰 | Comment repérer des communautés sur les #RS ? Comment garder le contrôle de ses données sur le #web ? Des questions auxquelles la nouvelle équipe ARGO (@Inria/@ENS_ULM) tente de répondre en alliant #algorithmique des #graphes et #ML. Lire 👉 inria.fr/fr/allier-mathemati…

The Chomsky et al. opinion piece in the @nytimes about ChatGPT is making the rounds. Rather than trying to deconstruct their argument, I asked @bing what it thinks of it. Now you can judge for yourself who has the moral high ground 😂.

𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝘄𝗶𝘁𝗵 𝗴𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗱𝗲𝘀𝗰𝗲𝗻𝘁 𝗮𝗻𝗱 𝘀𝘆𝗺𝗺𝗲𝘁𝗿𝘆 If the loss has symmetry, several solutions are equally good, and to converge to the 'right' solution, gradient descent needs additional information. 👇 a simple example below 👇

𝗡𝗮𝗺𝗲𝗱 𝗧𝗲𝗻𝘀𝗼𝗿𝘀 allow users to give explicit names to tensor dimensions. Named Tensor Notation by @davidweichiang @srush_nlpand @boazbaraktcs are super convenient. Here is a simple transformer encoder block! 👉tiny.cc/l0x2vz

Our workshop on Symmetry and Geometry in Neural Representations has been accepted to @NeurIPSConf 2022! We've put together a lineup of incredible speakers and panelists from 🧠 neuroscience, 🤖 geometric deep learning, and 🌐 geometric statistics.

Today at 8 pm (CEST), I am presenting our work with @giannis_nikole, @KevinScaman, @Monoideabelien, @mvazirg on "Ego-based entropy measures for structural representations on graphs" to #ICASSP2021! Tune in here: bit.ly/3v8dXyk Proceedings: ieeexplore.ieee.org/document…

Understanding convolutional neural networks from first principles. A great opportunity to learn about circulant matrices, shift-equivariant layers, discrete Fourier transform, CNNs, receptive field... and play with @JuliaLanguage All the details here👇 dataflowr.github.io/website/…

Our work "Lipschitz Normalization for Self-Attention Layers with Application to Graph Neural Networks" has been accepted as a short talk to #ICML2021! Thanks @Monoideabelien @KevinScaman for the great collaboration! Check out our paper for more details! arxiv.org/pdf/2103.04886.pdf

Please join us tomorrow at 7AM CET for presentations of the 11 @Huawei papers at #NeurIPS2020. The last two papers are from my team @HuaweiFR. @KevinScaman @LDosSantos_ @lgorcolin @merwanbarlier Cedric Malherbe us02web.zoom.us/j/5797113087… Conference ID: 579 711 3087 Password: 790071

Choosing the best algorithm to solve an optimization problem IN PRACTICE depends a lot on the data/parameters/implementation/etc. An objective selection needs time consuming benchmarks. This can now be done easily and together on GitHub with BenchOpt! benchopt.github.io/

If you like Gaussian kernels and distributions, you will enjoy this month blog post on Hermite polynomials! francisbach.com/hermite-poly…

Please to announce that our paper "A Simple and Efficient Smoothing Method for Accelerated Optimization and Local Exploration" has been accepted to #NeurIPS2020 🥳 Co-authors @lgorcolin @KevinScaman @MerwanBarlier

#IJCAI proceedings are online. Check out our paper "Coloring Graph Neural Networks for Node Disambiguation" introducing an universal approximator of continuous functions on graphs. Paper ijcai.org/Proceedings/2020/2… With George Dasoulas @Monoideabelien @KevinScaman