Florence Forbes

[Julyan Arbel @JulyanArbel]

Congrats to Dr Yuchen Bai who successfully defended his PhD on AI for LiDAR Point Cloud Analysis! Yuchen was co-advised at @InriaStatify by @FForbes70 and Jean Baptiste Durand.
https://t.co/wKCNYH7dYn

[Neuroimagerie Grenoble Institut Neurosciences @nifm_gin]

🎓Congratulations to Dr. @Thomas__Coudert for successfully defending his PhD!
🌟 He presented his impressive work on "#MRI Fingerprint and Artificial Intelligence for #stroke emergencies".
#MRF #AI

[Umberto Picchini @uPicchini]

Very happy to see our work on fast/accurate/lightweight SBI published in Transactions on Machine Learning Research

[Julyan Arbel @JulyanArbel]

Bayes at the Lido Beach #ISBA2024

[Julyan Arbel @JulyanArbel]

BCF #BestCollaboratorsForever ⁦@FForbes70⁩ ⁦@TresBienHien⁩ between ⁦🇦🇺⁩ ⁦@latrobe⁩ and 🇫🇷 ⁦@inria_grenoble⁩

[Julyan Arbel @JulyanArbel]

Great @ISBA_events session on Bayesian computations. Healthy mix of speakers @FForbes70 @tmoellenhoff @TresBienHien newcomers to ISBA & nice handwritten discussion by @RousseauJudith who was a newcomer in the previous century :)

[Umberto Picchini @uPicchini]

Limitations of the work: see the Disclaimer in the blogpost https://t.co/L3gvrJTIWk There are some design choices to be made when comparing methods, and setups are never "universal". Things can be improved and this is just a start in an alternative direction of SBI.

[Umberto Picchini @uPicchini]

Special kudos to Henrik (https://t.co/jW3ZQdzM3y), as this work started as his master thesis project! 👏 8/n

[Umberto Picchini @uPicchini]

new paper on simulation-based inference using Gaussian mixtures to learn likelihood and posterior, without neural networks 😱😱😱

Our SeMPLE (Sequential Mixture Posterior and Likelihood Estimation) provides excellent inference and excels when the posterior is multimodal. 1/n

[Umberto Picchini @uPicchini]

Summary blogpost: https://t.co/L3gvrJTIWk

Paper: https://t.co/QGuOiWrjqG

Code: https://t.co/4olb6qtKTY

This was work with the excellent Henrik Häggström, @plc_rodrigues , Geoffroy Oudoumanessah, @FForbes70 A real pleasure to work with you all! 7/n

[Benjamin Lambert @benolmbrt]

A wonderful conclusion to these 3 years of thesis. 🎉

Thank you kindly to the jury members for the exciting discussions about the challenges of AI in clinical routine 🏥

@NinonBurgos @marazul @c_f_baumgartner @julienmairal @fran_galassi Olivier François & Pierrick Coupé

[Benjamin Lambert @benolmbrt]

Thrilled to announce that our paper "Robust Conformal Volume Estimation in 3D Medical Images" has been early accepted at #MICCAI2024🎉

A beautiful conclusion to my PhD journey, before my defense this Thursday.

Stay tuned for more info!
@nifm_gin @InriaStatify @pixylmedical

[Neuroimagerie Grenoble Institut Neurosciences @nifm_gin]

📢PhD defense on 16/05 at 10am! 🎓
🤖How can we guarantee the safe deployment of deep learning models in medical imaging?
🗣️Benjamin Lambert dives into this issue with his thesis: "#Uncertainty Quantification in Deep Learning-based Medical Image segmentation".
#AI #MRI #medicalAI

[Neuroimagerie Grenoble Institut Neurosciences @nifm_gin]

🔍 @TChristenGIN a présenté ses travaux en session orale à l' #IABM2024.
🌟 La communauté des chercheurs en Intelligence Artificielle en Imagerie BioMédicale a découvert les dernières avancées en #IRM ultra-rapides par IRM Fingerprint. 🧠
#MRF #MRI

[Neuroimagerie Grenoble Institut Neurosciences @nifm_gin]

🌐 #IABM2024, le Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale s'est tenu à Grenoble du 25 au 27 mars ! 🏔️
🌟 Des membres de l'équipe ont pu contribuer à l'organisation du congrès ainsi qu'à l'accueil des participants !
#AI

[Neuroimagerie Grenoble Institut Neurosciences @nifm_gin]

🌟 @MichelDojat a animé la table ronde autour des enjeux éthiques de l'Intelligence artificielle durant l' #IABM2024.
🗣️ Ce temps d'échange a permis d'aborder différents aspects spécifiques à l'Imagerie BioMédicale rencontrés par la communauté de chercheurs.

[Dojat Michel @MichelDojat]

Interested in trustworthy AI for medical applications? see https://t.co/zuvn4GKwKi

[Julyan Arbel @JulyanArbel]

Just had my mind blown by @RobinJRyder's seminar on Bayesian inference in Historical Linguistics, partly based on a paper just accepted in Science @sciencemagazine that was still under embargo during the talk 😅🤯📚
Thanks for visiting Robin!

[Statify @InriaStatify]

Two workshop papers on improving deep ensembles will be presented at @NeurIPSConf WANT@NeurIPS by @kostaspitas_
https://t.co/U4VapnmmoF
https://t.co/eYcgjvipzm

[Statify @InriaStatify]

Check out this review paper on Bayesian neural networks by @InriaStatify members and coauthors.