Sonia Mazelet
@soniamazelet.bsky.social
PhD student at École Polytechnique and Inria working on optimal transport, machine learning and their applications to neuroscience
Reposted by Sonia Mazelet
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...
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
October 16, 2025 at 1:11 PM
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...
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...
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)
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
September 29, 2025 at 8:55 AM
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)
Huge thanks to my co-authors @rflamary.bsky.social and Bertrand Thirion !
arxiv.org/abs/2506.12025
(1/5)
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
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
December 11, 2024 at 2:09 PM
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
arxiv.org/abs/2406.18808