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POT (Python Optimal Transport) 0.9.0 has been released on Pypi, Github and conda-forge. With many new features, 51 examples in the doc gallery and solvers implemented from 49 papers. 1/n pythonot.github.io

Happy to annouce that our work "Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals" has been accepted at #ICML2023! (arxiv.org/abs/2303.05798) It is a joint work with B. Malézieux*, Alain Rakotomamonjy, L. Drumetz, Moreau Thomas, M. Kowalski and Nicolas Courty

We are looking for a research engineer to work on domain adaptation and transfer learning École polytechnique near Paris. Come with us to do research, open source Python software and benchmarks. Contact me by email if interested. Please RT (free users need to help each other).

Excited to introduce SNEkhorn: our #NeurIPS2023 paper with @t_vayer, Rémi Flamary 🦋 and Nicolas Courty. We propose a new affinity matrix and a dimensionality reduction algorithm based on symmetric optimal transport. 🧵 Paper : arxiv.org/abs/2305.13797 Code : github.com/PythonOT/SNEkh…

We have an open position for tenure track assist. professor in data-centric engineering and applied ML at École polytechnique. Comes with minimal teaching constraint and PhD/Postdoc funding. Contact me if interested we can talk NeurIPS Conference. Deadline January 15 tinyurl.com/DCE-ML-positio…

A big question looms over generative AI: what really is its impact on the environment? I spent months investigating a single campus of Microsoft data centers in the Arizona desert - designated in part for OpenAI - in an attempt to find out. Thread. theatlantic.com/technology/arc…

Congratulations Baptiste GENEST for this award !

Python Optimal Transport (POT) 0.9.4 released : works with numpy 2+, new quantized and low rank Gromov-Wasserstein solvers, and general unbalanced/regularized solvers in ot.solve. More details in 🧵1/7 github.com/PythonOT/POT/r…

Extremely happy to announce the (alpha) release 0.3.0 of SKADA Scikit Adaptation, a python toolbox for domain adaptation fully compatible with scikit-learn and PyTorch Code : github.com/scikit-adaptat… Doc: scikit-adaptation.github.io

"In this new generative-AI paradigm, uncertainty reigns over certainty, speculation dominates reality, science defers to faith [...] while the technology consumes unprecedented amounts of energy." An amazing piece from Karen Hao about AI and climate: theatlantic.com/technology/arc…

Super happy to announce the release of TorchDR 0.1 : the Dimensionality Reduction (DR) library using PyTorch. Joint work with an amazing team : Rémi Flamary 🦋 , Mathurin Massias, Nicolas Courty, Cedric Vincent-Cuaz, Titouan Vayer, Aurélien Garivier. Thread 🧵. Repo : github.com/TorchDR/TorchDR

#ECCV2024 TL;DR: criterion for determining when to stop training in source-free domain adaptation. That is to avoid performance degradation

🚨 Interested in domain adaptation and generalization for 3D data? 🚨 It’s tough to keep up with all the new amazing work. That’s why I’ve curated a comprehensive, easy-to-navigate list of publications. 📚 👉 Repo: bit.ly/DA_DG_3D

🏆Didn't get the Physics Nobel Prize this year, but really excited to share that I've been named one of the #FWIS2024 Fondation L'Oréal-UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳 French Young Talents alongside 34 amazing young researchers! This award recognizes my research on deep learning theory #WomenInScience 👩‍💻