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Paul Krzakala

@paulkrz.bsky.social
13 followers 9 following 6 posts
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Paul Krzakala @paulkrz.bsky.social · 16/10/2025
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
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...
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Paul Krzakala @paulkrz.bsky.social · 15/10/2025
NeurIPS 2030 foreshadowing
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Reposted by Paul Krzakala
qntm @qntm.org · 05/03/2025
11 November 2025.
Book cover: A vast, ruined monolith in a forest at sunset. Text: "THERE IS NO ANTIMEMETICS DIVISION. A NOVEL BY QNTM"
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Reposted by Paul Krzakala
Sonia Mazelet @soniamazelet.bsky.social · 29/09/2025
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)
arxiv.org
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...
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Reposted by Paul Krzakala
Rémi Flamary @rflamary.bsky.social · 26/11/2024
We have an accepted paper a at NeurIPS 2024 about supervised graph prediction with transformers and optimal transport loss with Paul Krzakala, Junjie Yang, Florence d’Alché-Buc, Charlotte Laclau and Matthieu Labeau. Details in 🧵 arxiv.org/pdf/2402.12269
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