DaSciM team @dascim_polytech
Data Science and Mining team @polytechnique. AI for Bigdata lix.polytechnique.fr/dascim/ LIX, École Polytechnique Joined September 2013-
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Prof M. Vazirgiannis (@mvazirg) offers a keynote speech entitled "GNNs and Graph Generative models for ... - lix.polytechnique.fr/dascim/news/pr…
Paper Accepted #ICML2023 - lix.polytechnique.fr/dascim/news/pa…
Excited to share that our paper 'Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations' with @giannis_nikole and @mvazirg has been accepted at #AISTATS2023 @aistats_conf !
Next Tuesday at noon, I will be presenting some of our work in the area of Graph Representation Learning. Please come join us if you are in the Saclay region. Thank you very much @tomamoral and Victor-Emmanuel Brunel for the invitation and organisation!
Next Tuesday at noon, I will be presenting some of our work in the area of Graph Representation Learning. Please come join us if you are in the Saclay region. Thank you very much @tomamoral and Victor-Emmanuel Brunel for the invitation and organisation!
#EMNLP2022 Excited to present my paper “Questioning the Validity of Summarization Datasets and Improving Their Factuality” in poster session 8 tomorrow 9:00-10:30 am. #NLProc Many thanks to my advisors @mvazirg and @ChloeDClavel!
Thrilled to announce that our paper "Graph Ordering Attention Networks" has been accepted at @RealAAAI #AAAI2023. Many thanks to my amazing co-authors @JLutzeyer , @GDasoulas and my advisor @mvazirg . (1/n)
🆙We are super excited to have @JLutzeyer continue in our team as Assistant Professor, after two years of brilliant postdoctoral research!!! 🎉A great evolution for DaSciM!!!
🆙We are super excited to have @JLutzeyer continue in our team as Assistant Professor, after two years of brilliant postdoctoral research!!! 🎉A great evolution for DaSciM!!!
New journal paper alert! 🚨 Congratulations to @gsalhagalvan, @JLutzeyer, @GDasoulas, R. Hennequin, and @mvazirg, for their paper on "Modularity-Aware Graph Autoencoders" accepted for publication in @ElsevierConnect's Neural Networks journal (IF: 8.05)! @Deezer @Polytechnique
👉 Check out our group's work "Node Feature Kernels Increase Graph Convolutional Network Robustness" tomorrow at #AISTATS2022
👉 Check out our group's work "Node Feature Kernels Increase Graph Convolutional Network Robustness" tomorrow at #AISTATS2022
⬇️Check out this great talk by @JLutzeyer, postdoctoral researcher in our group!
⬇️Check out this great talk by @JLutzeyer, postdoctoral researcher in our group!
[#Research] We are glad to co-organise the seminar series "Law, Society & AI", result of joint effort between @IP_Paris_ and @HECParis. Talks take place online as well as on the @ParisSaclay campus. #AI #LegalTech Check out the link here👉suchanek.name/work/research/…
Great paper and thread! - 😮that super simple MSE loss works vs. BEiT-style dVAE (multi-modal) cross-entropy - <3 efficiency of asymmetric encoder/decoder - 👏detailed training recipes - +1 v curious about dataset size scaling - bit of lack of commentary on test-time protocol
Great paper and thread! - 😮that super simple MSE loss works vs. BEiT-style dVAE (multi-modal) cross-entropy - <3 efficiency of asymmetric encoder/decoder - 👏detailed training recipes - +1 v curious about dataset size scaling - bit of lack of commentary on test-time protocol
[#EVENT] A huge thanks to Prof. #JohnIoannidis for his inspirational talk on "Meta-Research and the Quest for Better Science" @Polytechnique @IP__Paris 👏 A memorable afternoon full of enlightening insights and meaningful exchanges🎊🎆
#BREAKING We are super excited to host Prof. #JohnIoannidis, physician, writer and one of the top cited scientists in the world. He will give a talk entitled “Meta-Research and the Quest for Better Science” on November 10th @Polytechnique. Save the date! 👉bit.ly/2ZjO1WO
#EVENT Check out our demos and prototypes presented at “la journée « prototypes, logiciels et plateformes »” @IP__Paris. (idia-pfday-2021.sciencesconf.org) GraKeL : ysig.github.io/GraKeL/0.1a8/ BARThez & BERTweetFR: master2-bigdata.polytechnique.fr/FrenchLinguist…
Pls check my keynote speech “Towards GNN explainability: Random Walk Graph Neural Networks” today at the @GReS_Workshop @ACMRecSys #RecSys2021 @ip_paris @Polytechnique (europe.naverlabs.com/gres-workshop/)
Significant French language resources learned from large scale web/twitter crawl. Static/contextual word embeddings, N-grams, end2end demos (summarisation, title generation). Thanks to @AgenceRecherche chair HELAS funding master2-bigdata.polytechnique.fr/FrenchLinguist…… @IP__Paris @Polytechnique

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