yanntraonmilin.perso.math.cnrs.fr
What is the "best" way to estimate elements of a low-dimensional model from a limited number of measurements ?
Details at www.ens-lyon.fr/LIP/images/P...
Details at www.ens-lyon.fr/LIP/images/P...
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arxiv.org/abs/2509.20511
In this work,...
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arxiv.org/abs/2509.20511
In this work,...
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Dates & infos :
wmathsia2026.sciencesconf.org
Dates & infos :
wmathsia2026.sciencesconf.org
Les inscriptions sont ouvertes jusqu'au 1 mars (majoration > 9/02). La deadline pour soumettre une communication est le **15 janvier**.
Les inscriptions sont ouvertes jusqu'au 1 mars (majoration > 9/02). La deadline pour soumettre une communication est le **15 janvier**.
Geometry x deep priors x inverse problems = 👍
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Geometry x deep priors x inverse problems = 👍
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All infos here: nkeriven.github.io/malaga/
All infos here: nkeriven.github.io/malaga/
Interested, if anyone has a reference to a complete solution to this.
Interested, if anyone has a reference to a complete solution to this.
aligned points: points lying on a line
line: an infinity of aligned points
points alignés : points appartenant à la même droite
droite: infinité de points alignés
🤔 I'm still stuck in a loop 🤣
What would be a good definition of line for 7 y.o. ?
aligned points: points lying on a line
line: an infinity of aligned points
points alignés : points appartenant à la même droite
droite: infinité de points alignés
🤔 I'm still stuck in a loop 🤣
What would be a good definition of line for 7 y.o. ?
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Vous pouvez déposer votre proposition de contrib sur mode2026.sciencesconf.org
Inscription à partir du 1er décembre pour finir le 1 mars (avec un tarif majoré à compter du 1 février).
"On the impact of the parametrization of deep
convolutional neural networks on post-training
quantization", Samy Houache, J.-F. Aujol, Y.T.
hal.science/hal-04922698/
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"On the impact of the parametrization of deep
convolutional neural networks on post-training
quantization", Samy Houache, J.-F. Aujol, Y.T.
hal.science/hal-04922698/
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I agree but to be fair to optimization folks, this is generally done by setting up a loss that should guarantee low test error.
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I agree but to be fair to optimization folks, this is generally done by setting up a loss that should guarantee low test error.
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Position 1: werkenbij.uva.nl/en/vacancies... (apply by October 13, 2025)
Position 2: applications via the Ellis PhD Program: ellis.eu/news/ellis-p... by Oct. 31.
Both positions are equivalent (except for starting dates)
Position 1: werkenbij.uva.nl/en/vacancies... (apply by October 13, 2025)
Position 2: applications via the Ellis PhD Program: ellis.eu/news/ellis-p... by Oct. 31.
Both positions are equivalent (except for starting dates)
texture". He gave very nice contributions with modern methods on a challenging ill-posed problem.
antoineguennec.perso.math.cnrs.fr
texture". He gave very nice contributions with modern methods on a challenging ill-posed problem.
antoineguennec.perso.math.cnrs.fr
In two weeks, presentation on optimal low-dimensional recovery at SMAI 2025 conference smai2025.math.cnrs.fr/fr/ (synchronized with a recent much needed update to hal.science/hal-04725337 😇)
In two weeks, presentation on optimal low-dimensional recovery at SMAI 2025 conference smai2025.math.cnrs.fr/fr/ (synchronized with a recent much needed update to hal.science/hal-04725337 😇)
La version en anglais est sur arxiv
arxiv.org/abs/2501.10465
La version en anglais est sur arxiv
arxiv.org/abs/2501.10465
mathsdata2025.github.io
EPFL, Sept 1–5, 2025
Speakers:
Bach @bachfrancis.bsky.social
Bandeira
Mallat
Montanari
Peyré @gabrielpeyre.bsky.social
For PhD students & early-career researchers
Apply before May 15!
mathsdata2025.github.io
EPFL, Sept 1–5, 2025
Speakers:
Bach @bachfrancis.bsky.social
Bandeira
Mallat
Montanari
Peyré @gabrielpeyre.bsky.social
For PhD students & early-career researchers
Apply before May 15!