Anna Korba @akorba - Bluesky Profile

Latest posts by akorba.bsky.social on Bluesky

merci Mathurin !!

15.09.2025 09:23 — 👍 1 🔁 0 💬 0 📌 0

merci David !!

09.09.2025 10:41 — 👍 0 🔁 0 💬 0 📌 0

thanks Arthur !!

09.09.2025 10:41 — 👍 1 🔁 0 💬 0 📌 0

Anna Korba

See akorba.github.io/Optinfinite.... for details and updates. Job openings will come soon.

08.09.2025 06:39 — 👍 1 🔁 0 💬 0 📌 0

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.

08.09.2025 06:39 — 👍 16 🔁 5 💬 4 📌 0

Autumn School on Recent Advances in Machine Learning - Sciencesconf.org

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 ! ⬇️

07.04.2025 18:29 — 👍 5 🔁 2 💬 1 📌 0

Invited speakers include

Gabriel Victorino Cardoso (Mines Paris PSL)
Solenne Gaucher (ENSAE)
Thomas Moreau (INRIA)
Mathilde Mougeot (ENS Paris-Saclay, ensiEE)

... and more to come !

more info + detailed program upcoming on the website 👀

07.04.2025 18:31 — 👍 1 🔁 0 💬 0 📌 0

✏️ Courses:

Optimisation, Adrien Taylor (INRIA, ENS)

Federated Learning, Aymeric Dieuleveut (Polytechnique)

Sampling and Generative Models, Marylou Gabrié (ENS PSL)

Evasion Attacks in AI, Rafaël Pinot (Sorbonne)

07.04.2025 18:31 — 👍 2 🔁 0 💬 1 📌 0

Autumn School on Recent Advances in Machine Learning - Sciencesconf.org

07.04.2025 18:29 — 👍 5 🔁 2 💬 1 📌 0

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

23.01.2019 17:11 — 👍 2 🔁 1 💬 1 📌 0

📣 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.

30.12.2024 12:21 — 👍 79 🔁 35 💬 4 📌 4

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...

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

03.12.2024 08:55 — 👍 29 🔁 5 💬 1 📌 0

@akorba is following 20 prominent accounts

Roger Mansuy
@roger-mansuy

Aime partager autour de la culture mathématique, toujours ouvert pour apprendre... Le Grand Almanach Mathématique (Albin-Michel, 2025) contact: roger.mansuy@ac-paris.fr

Bruno Galerne
@bgalerne

Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair. Interested in image processing and deep generative models. I teach generative models for imaging at #MasterMVA.

antonio vergari ⚔️ short-circuiting
@nolovedeeplearning

Institut DataIA Paris-Saclay
@dataiainstitute

Institut de recherche en #IA, #DataScience & leurs applications, associé à l'Université Paris-Saclay 🎓🇫🇷

Université Paris-Saclay
@univparissaclay

Compte officiel de l'Université Paris-Saclay : 48 000 étudiants, 9 000 chercheurs et enseignants-chercheurs, 4 600 doctorants #Formation #Recherche

Max Hird
@maxhird

https://maxhhird.github.io/

Botond Szabo
@botond42

Professor of Statistics at Bocconi University

Adam Johansen
@adamjohansen

Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.

Sam Power
@spmontecarlo

Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina

Oussama Zekri
@ozekri

ENS Saclay maths dpt + UW Research Intern. Website : https://oussamazekri.fr Blog : https://logb-research.github.io/

Zhaoyang Wang
@zhaoyangw

CS PhD student at the University of Birmingham. Research interests: automated machine learning-AutoAI (Bayesian Optimization, GPs & meta-learning) and reinforcement learning. 🏳️‍🌈. https://sites.google.com/view/zhaoyangwang/home

@hugorichard

Researcher at Criteo. Interested in Bandits, Privacy, Competitive Analysis, Reinforcement Learning. https://hugorichard.github.io/

@maria-sk

Etienne Boursier
@eboursier

Researcher @ Inria Theory of Machine Learning

Dimitri Meunier
@dimitrimeunier

PhD, Gatsby, UCL

Blei Lab
@bleilab

Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab

Dirk Lorenz
@dirque

Doing mathematics, also as a job. Now at Uni Bremen, was at TU Braunschweig. Only here for the math. Optimization, inverse problems, imaging, learning - stuff like that.

Clément Bonet
@clement-bonet

Assistant Professor at École Polytechnique interested in Optimal Transport. More information at: https://clbonet.github.io/

Arthur Gretton
@arthurgretton

Loïc Landrieu
@loicland

Senior researcher at IMAGINE (ENPC, LIGM). Machine learning & computer vision for 3D + geospatial + historical data. loiclandrieu.com