@InriaMaasai Profile picture

Inria Maasai

@InriaMaasai

Statistical and machine learning research team, @inria and @Univ_CotedAzur, part of @LjadNice and @Laboratoire_I3S, located in Sophia-Antipolis, Nice (France).

Joined March 2020
Similar User
Pierre-Alexandre Mattei photo

@pamattei

NeuroMod Institute photo

@NeuroMod2020

Luca Scrucca photo

@luca_scr

Julyan Arbel photo

@JulyanArbel

Latouche Pierre photo

@latouche_pierre

Marco Corneli photo

@Marco_Corneli

LjadNice photo

@LjadNice

SophI.A Summit photo

@Summitsophia

Cedric Vincent-Cuaz photo

@CedricCuaz

Yann Traonmilin photo

@YTraonmilin

Margot Selosse photo

@mversionpenny

Inria Maasai Reposted

It is still possible to submit to @GeMSS24 (Generative Modeling Summer School 2024)! The deadline has been postponed until Wednesday (April 3, 2024), 23:59 (Central European Summer Time).

jmtomczak's tweet image. It is still possible to submit to @GeMSS24 (Generative Modeling Summer School 2024)! The deadline has been postponed until Wednesday (April 3, 2024), 23:59 (Central European Summer Time).

Inria Maasai Reposted

La date est reportée au 2 avril, il vous reste donc une semaine😊

Les soumissions de résumé pour les Rencontres R 2024 #RR2024 sont ouvertes ‼️ Venez présentez vos travaux et discuter avec des utilisateurs du logiciel R 🎯🌎📶🧠📈🔎📉🧮 Les soumissions sont ouvertes jusqu'au 26 mars :) rr2024.sciencesconf.org #Rstats #RstatsFR @StatFr



Inria Maasai Reposted

Second edition of our Generative Modeling Summer School coming up in Eindhoven!

It's going to happen! What? Generative Modeling Summer School 2024 (#GeMSS24)! When: June 24-28, 2024 Where: Eindhoven, the Netherlands (@TUeindhoven, @Brainport_int) Info: gemss.ai Application deadline: March 31, 2024 Don't wait, apply!

jmtomczak's tweet image. It's going to happen! What? Generative Modeling Summer School 2024 (#GeMSS24)!
When: June 24-28, 2024
Where: Eindhoven, the Netherlands (@TUeindhoven, @Brainport_int)
Info: <a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/wtTLui2rBo">gemss.ai</a>
Application deadline: March 31, 2024
Don't wait, apply!


Inria Maasai Reposted

I am super excited about the GeMSS summer school on generative AI we kick off tomorrow! Fantastic invited lecturers and co-organised with the two amazing @pamattei and @jmtomczak! gemss.ai @DataScienceDK @AiCentreDK @InriaMaasai @CogSys @DTUtweet @TUeindhoven

jesfrellsen's tweet image. I am super excited about the GeMSS summer school on generative AI we kick off tomorrow! Fantastic invited lecturers and co-organised with the two amazing @pamattei and @jmtomczak!
<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/YPpyaiQrpT">gemss.ai</a>
@DataScienceDK @AiCentreDK @InriaMaasai @CogSys @DTUtweet @TUeindhoven

The @InriaMaasai team is very honored to be part of this exciting new #IHU project! Looking forward to nice collaborations with @CHUdeNice @Univ_CotedAzur @Insermpacacorse #IMPC @InriaEpione!

A @inria_sophia nous sommes fiers et heureux d'être cofondateurs de ce tout nouvel IHU. Bravo à toute l'équipe.



Inria Maasai Reposted

Still time to apply for this👩‍🎓Ph.D. position! If you are a Master student in Data Science with interest in #AI, #NLP and #StatisticalLearning, have a look at the offer! ⬇️⬇️⬇️

Open (fully funded)👩‍🎓Ph.D. position on « #AI models hybridizing #machineLearning and #argumentation to counter online misinformation and cyberbullying » with @serena_villata at @3IAcotedazur! ➡️More information on: 3ia.univ-cotedazur.eu/medias/fichier… ⚠️Deadline for application: 15 may

cbouveyron's tweet image. Open (fully funded)👩‍🎓Ph.D. position on « #AI models hybridizing #machineLearning and #argumentation to counter online misinformation and cyberbullying » with @serena_villata at @3IAcotedazur!
➡️More information on: <a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/gxDVKYnTgf">3ia.univ-cotedazur.eu/medias/fichier…</a>
⚠️Deadline for application: 15 may


Still a few days to apply to the #GeMSS23 summer school in Copenhagen and learn about deep generative models (VAEs, diffusion models, prob circuits, flows, GANs…) and applications (biology, causality, missing data…)!

The deadline to #GeMSS23 is now April 14, 2023 (EOD)! Don't wait, apply to this amazing summer school on #GenerativeAI! 🤩An additional update, we have two new lecturers: Prof. Ole Winther @OleWinther1 and Prof. Wouter Boomsma @WouterBoomsmaDK! 🤩



Open Ph.D. positions between the @wimmics and @InriaMaasai teams of @inria_sophia, with a founding of @3IAcotedazur!

Open (fully funded)👩‍🎓Ph.D. position on « #AI models hybridizing #machineLearning and #argumentation to counter online misinformation and cyberbullying » with @serena_villata at @3IAcotedazur! ➡️More information on: 3ia.univ-cotedazur.eu/medias/fichier… ⚠️Deadline for application: 15 may

cbouveyron's tweet image. Open (fully funded)👩‍🎓Ph.D. position on « #AI models hybridizing #machineLearning and #argumentation to counter online misinformation and cyberbullying » with @serena_villata at @3IAcotedazur!
➡️More information on: <a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/gxDVKYnTgf">3ia.univ-cotedazur.eu/medias/fichier…</a>
⚠️Deadline for application: 15 may


Inria Maasai Reposted

@CedricCuaz is defending his PhD thesis now!

Marco_Corneli's tweet image. @CedricCuaz is defending his PhD thesis now!

Inria Maasai Reposted

[Event] Colloquium Jacques Morgenstern tomorrow with Fabio Cozman, 3IA guest, Director of @C4AI1 at @usponline! 📍@inria_sophia - 11:00 am 🙏Thank you @cgfsaopaulo for making this visit possible @MezieNadege 👉iww.inria.fr/colloquium/fr/…

📢[#Colloquium] RDV🗓️le 5⃣ janvier à 11h à @Inria à #SophiaAntipolis avec Fabio Cozman directeur du @C4AI1 de l'université de Sao Paulo @usponline ✅"Research in Knowledge-Enhanced Machine Learning at the C4AI" #AI #explainability #ConversationalAgents ▶️bit.ly/3BGgypA

inria_sophia's tweet image. 📢[#Colloquium] RDV🗓️le 5⃣ janvier à 11h
à @Inria à #SophiaAntipolis  avec Fabio Cozman
directeur du @C4AI1 de l'université de Sao Paulo @usponline
✅"Research in Knowledge-Enhanced Machine Learning at the C4AI"
#AI #explainability #ConversationalAgents ▶️<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/UupHnXpOVh">bit.ly/3BGgypA</a>


Inria Maasai Reposted

#NeurIPS2022 is starting today: our @InriaMaasai team will present there 3 papers on GNNs, discriminative clustering and interpretability: ➡️openreview.net/forum?id=0Oy3P… ➡️openreview.net/forum?id=HXCPA… ➡️openreview.net/forum?id=seYcx…

cbouveyron's tweet image. #NeurIPS2022 is starting today: our @InriaMaasai team will present there 3 papers on GNNs, discriminative clustering and interpretability:
➡️<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/vYD1QgJCdN">openreview.net/forum?id=0Oy3P…</a>
➡️<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/Rj8PKCQRMR">openreview.net/forum?id=HXCPA…</a>
➡️<a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/JUN6uNxEHF">openreview.net/forum?id=seYcx…</a>

Inria Maasai Reposted

Very proud to have presented my work highlighted at #EANM22 on the prediction of the lung cancer response to immunotherapy. We show that heterogeneous biomarkers can be combined to improve predictive performance. @officialEANM @Lacassagne_Nice @3IAcotedazur @InriaMaasai

HugoSchmutz2's tweet image. Very proud to have presented my work highlighted at #EANM22 on the prediction of the lung cancer response to immunotherapy. We show that heterogeneous biomarkers can be combined to improve predictive performance.  @officialEANM @Lacassagne_Nice @3IAcotedazur @InriaMaasai
HugoSchmutz2's tweet image. Very proud to have presented my work highlighted at #EANM22 on the prediction of the lung cancer response to immunotherapy. We show that heterogeneous biomarkers can be combined to improve predictive performance.  @officialEANM @Lacassagne_Nice @3IAcotedazur @InriaMaasai

Inria Maasai Reposted

Very excited for this workshop on lifelong-continual learning (Dec 12 in Hyderabad India). Our goal is to bring together the community from the Asian region. Submit your work (due end of October). RT appreciated. Help us spread the word!

Pleased to announce a workshop on Continual Lifelong Learning at ACML this December, in hybrid format! There are amazing speakers, and also a call for papers. We hope to connect Asian researchers in this field together and to the rest of the world! (1/2) continual-lifelong-learners.github.io



Inria Maasai Reposted

[#MathC2+] Jour 1 Grand merci 👏aux 👩‍🎓👨‍🎓doctorant-e-s des équipes de recherche du centre @Inria : Aude @InriaMaasai Aline @wimmics Clotilde (Biocore) Paul (Calisto) Bernard (Diana) Yingyu @InriaEpione & Owen qui ont présenté leur parcours/leur sujet et échangé avec les 50 lycéens

inria_sophia's tweet image. [#MathC2+] Jour 1 Grand merci 👏aux 👩‍🎓👨‍🎓doctorant-e-s des équipes de recherche du centre @Inria : Aude @InriaMaasai Aline @wimmics Clotilde (Biocore) Paul (Calisto) Bernard (Diana) Yingyu @InriaEpione &amp; Owen qui ont présenté leur parcours/leur sujet et échangé avec les 50 lycéens
inria_sophia's tweet image. [#MathC2+] Jour 1 Grand merci 👏aux 👩‍🎓👨‍🎓doctorant-e-s des équipes de recherche du centre @Inria : Aude @InriaMaasai Aline @wimmics Clotilde (Biocore) Paul (Calisto) Bernard (Diana) Yingyu @InriaEpione &amp; Owen qui ont présenté leur parcours/leur sujet et échangé avec les 50 lycéens

Hot off the press: dynamic co-clustering for studying adverse drug reactions, by @GiuliaMarchello

I'm really excited to announce that my paper with A. Fresse, @Marco_Corneli and @cbouveyron, on the Dynamic Latent Block Model with an application to pharmacovigilance is now published on Statistics and Computing, also available on HAL at: hal.archives-ouvertes.fr/hal-03146769.🥳

GiuliaMarchello's tweet image. I'm really excited to announce that my paper with A. Fresse, @Marco_Corneli and @cbouveyron, on the Dynamic Latent Block Model with an application to pharmacovigilance is now published on Statistics and Computing, also available on HAL at: <a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/BWVAFdt1gY">hal.archives-ouvertes.fr/hal-03146769</a>.🥳
GiuliaMarchello's tweet image. I'm really excited to announce that my paper with A. Fresse, @Marco_Corneli and @cbouveyron, on the Dynamic Latent Block Model with an application to pharmacovigilance is now published on Statistics and Computing, also available on HAL at: <a style="text-decoration: none;" rel="nofollow" target="_blank" href="https://t.co/BWVAFdt1gY">hal.archives-ouvertes.fr/hal-03146769</a>.🥳


We'll have two papers at #ICLR2022 next week! @NielsIpsen will discuss ways of handling missing values in supervised deep learning (openreview.net/forum?id=J7b4B…) at session 3, and @CedricCuaz will introduce the semi-relaxed Gromov-Wasserstein divergence at session 1, see thread⬇️

How to get a factorization model sensitive to hierarchical partitioning on graphs, for most unsupervised tasks you can imagine? Use the semi-relaxed Gromov-Wasserstein divergence! #OptimalTransport Meet me at the Poster session 1 at #iclr2022 next Monday to discuss about it 😉

CedricCuaz's tweet image. How to get a factorization model sensitive to hierarchical partitioning on graphs, for most unsupervised tasks you can imagine? Use the semi-relaxed Gromov-Wasserstein divergence! #OptimalTransport

Meet me at the Poster session 1 at #iclr2022 next Monday to discuss about it 😉


Loading...

Something went wrong.


Something went wrong.