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ORCIDNicolas Berkouk
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2020 – today
- 2023
[c2]Dan Meller, Nicolas Berkouk:
Singular Value Representation: A New Graph Perspective On Neural Networks. AISTATS 2023: 3353-3369- [i7]Dan Meller, Nicolas Berkouk:
Singular Value Representation: A New Graph Perspective On Neural Networks. CoRR abs/2302.08183 (2023) - 2022
- [j1]Matteo Caorsi
, Raphael Reinauer, Nicolas Berkouk:
giotto-deep: A Python Package for Topological Deep Learning. J. Open Source Softw. 7(79): 4846 (2022) - [i6]Nicolas Berkouk, François Petit:
Projected distances for multi-parameter persistence modules. CoRR abs/2206.08818 (2022) - [i5]Nicolas Berkouk:
On the (non-)stability of the sheaf-function correspondence. CoRR abs/2207.06335 (2022) - [i4]Nicolas Berkouk, Luca Nyckees:
One Diamond to Rule Them All: Old and new topics about zigzag, levelsets and extended persistence. CoRR abs/2210.00916 (2022) - 2021
- [c1]Nicolas Berkouk:
Algebraic Homotopy Interleaving Distance. GSI 2021: 656-664 - [i3]Raphael Reinauer, Matteo Caorsi, Nicolas Berkouk:
Persformer: A Transformer Architecture for Topological Machine Learning. CoRR abs/2112.15210 (2021) - 2020
- [b1]Nicolas Berkouk:
Persistence and Sheaves: from Theory to Applications. (Persistance et Faisceaux: de la Théorie aux Applications). Polytechnic Institute of Paris, France, 2020
2010 – 2019
- 2019
- [i2]Nicolas Berkouk, Grégory Ginot, Steve Oudot:
Level-sets persistence and sheaf theory. CoRR abs/1907.09759 (2019) - 2018
- [i1]Nicolas Berkouk, Grégory Ginot:
A derived isometry theorem for constructible sheaves on 𝑹. CoRR abs/1805.09694 (2018)
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