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Sonia Mazelet

@soniamazelet.bsky.social

PhD student at École Polytechnique and Inria working on optimal transport, machine learning and their applications to neuroscience

8 Posts51 Follower17 Folgt
Sonia Mazelet@soniamazelet.bsky.social · last mo.

I’ll be at ICML presenting our paper! Come say hi and check out our poster on Thursday 9th (Hall A, poster #3710). Huge thanks to @simonroschmann.bsky.social @paulkrz.bsky.social, @qbouniot.bsky.social and @zeynepakata.bsky.social for this great collaboration !

@simonroschmann.bsky.social · last mo.

Excited to share that our paper "SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport" was accepted at ICML. 📄 Paper: arxiv.org/abs/2602.23353 💻 Code: github.com/ExplainableM...

Sonia Mazelet@soniamazelet.bsky.social · 8mo ago

I am happy to share that I will be at NeurIPS in San Diego to present our paper with @rflamary.bsky.social and Bertrand Thirion on optimal transport plan prediction between graphs. If you are around come say hi! Paper: arxiv.org/abs/2506.12025 Poster #3703 Friday 5 December 4:30 - 7:30 pm

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs

Optimal transport between graphs, based on Gromov-Wasserstein and other extensions, is a powerful tool for comparing and aligning graph structures. However, solving the associated non-convex optimizat...

arxiv.org

Paul Krzakala@paulkrz.bsky.social · 10mo ago

Our latest paper “The Quest for the GRAph Level autoEncoder (GRALE)” was accepted at NeurIPS 2025! arxiv.org/abs/2505.22109 🏆 GRALE 🏆 can encode and decode graphs into and from a shared Euclidean space. Training such a model should require solving the graph matching problem but...

The quest for the GRAph Level autoEncoder (GRALE)

Although graph-based learning has attracted a lot of attention, graph representation learning is still a challenging task whose resolution may impact key application fields such as chemistry or biolog...

arxiv.org

Sonia Mazelet@soniamazelet.bsky.social · 10mo ago

I am happy to share that our paper "Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs" was accepted at Neurips 2025 ! 🥳 Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion ! arxiv.org/abs/2506.12025 (1/5)

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs

Optimal transport between graphs, based on Gromov-Wasserstein and other extensions, is a powerful tool for comparing and aligning graph structures. However, solving the associated non-convex optimizat...

arxiv.org

Sonia Mazelet@soniamazelet.bsky.social · 2y ago

Very excited to share that I will be at NeurIPS this week with Christopher Kymn to present our work on spatial representation in the hippocampal formation. Come check out our poster ! arxiv.org/abs/2406.18808

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps

We propose a normative model for spatial representation in the hippocampal formation that combines optimality principles, such as maximizing coding range and spatial information per neuron, with an al...

arxiv.org