Anna Korba
akorba.bsky.social
Anna Korba
@akorba.bsky.social
I'm thrilled to announce that my #ERCStG project **Optinfinite : Efficient infinite-dimensional optimization over measures**
has been accepted. Thank you
@erc.europa.eu !
Many thanks also to @crestumr.bsky.social @ipparis.bsky.social for they support, as well as to my collaborators and friends.
September 8, 2025 at 6:39 AM
Reposted by Anna Korba
Mark your calendars !
🏔️Machine Learning Autumn School at Aussois (France). 🏔️
16-21 nov 2025.
Submission deadline to present your work via talk or poster: 28th of April.
mlataussois.sciencesconf.org
Great line-up of speakers ! ⬇️
Autumn School on Recent Advances in Machine Learning - Sciencesconf.org
mlataussois.sciencesconf.org
April 7, 2025 at 6:29 PM
Mark your calendars !
🏔️Machine Learning Autumn School at Aussois (France). 🏔️
16-21 nov 2025.
Submission deadline to present your work via talk or poster: 28th of April.
mlataussois.sciencesconf.org
Great line-up of speakers ! ⬇️
Autumn School on Recent Advances in Machine Learning - Sciencesconf.org
mlataussois.sciencesconf.org
April 7, 2025 at 6:29 PM
Reposted by Anna Korba
Applications are open for the Machine Learning Crash Course (MLCC 2019) to be held in Genoa, the heart of the Italian riviera, on June 17-21, 2019.

For more information, visit the course website atApply *BEFORE* April 19th.

#MachineLearning

lnkd.in/ecSCmih
December 23, 2024 at 10:42 AM
Reposted by Anna Korba
📣 Hiring! I am looking for PhD/postdoc candidates to work on foundation models for science at @ULiege, with a special focus on weather and climate systems. 🌏 Three positions are open around deep learning, physics-informed FMs and inverse problems with FMs.
December 30, 2024 at 12:21 PM
Reposted by Anna Korba
Glad to announce that our work "Mirror and Preconditioned Gradient Descent in Wasserstein Space" was accepted at #NeurIPS2024 as a spotlight!

This is a joint work with the amazing T. Uscidda, A. David, P.C. Aubin-Frankowski and A. Korba!

Link: arxiv.org/abs/2406.08938
Mirror and Preconditioned Gradient Descent in Wasserstein Space
As the problem of minimizing functionals on the Wasserstein space encompasses many applications in machine learning, different optimization algorithms on $\mathbb{R}^d$ have received their counterpart...
arxiv.org
December 3, 2024 at 8:55 AM