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Martin Carrasco

NeurIPS 2026×4可解释性理论与学习动力学长上下文与架构推理

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71

一作贡献30

核心/参与22

方向广度8

合作网络9

1 一作 · 4 篇 · NeurIPS 2026

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2026 顶会论文

4

作者位次 #4/10NeurIPS 2026Poster

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations

Guillermo Bernárdez · Marco Montagna · Louis Van Langendonck · Martin Carrasco · Amirreza Akbari · Louisa Cornelis · Mathilde Papillon · Pere Barlet-Ros · Nina Miolane · Lev Telyatnikov

可解释性长上下文与架构OpenReview

一作NeurIPS 2026Poster· Theory / Learning Theory

On the Rademacher Complexity of Graph Neural Networks: Unifying Expressivity and Geometry

Martin Carrasco · Caio Deberaldini Netto · Ehimare Okoyomon · Aneeqa Mehrab · Vahan Martirosyan · Caterina Graziani

理论与学习动力学OpenReview

作者位次 #2/6NeurIPS 2026Poster· Deep Learning / Graph Neural Networks

No Triangulation Without Representation: Generalization in Topological Deep Learning

Johannes S. Schmidt · Martin Carrasco · Ernst Röell · Guy Wolf · Nello Blaser · Bastian Rieck

推理可解释性理论与学习动力学OpenReview

作者位次 #3/5NeurIPS 2026Poster· General Machine Learning / Representation Learning

Diversity Curves for Graph Representation Learning

Katharina Limbeck · Nadja Häusermann · Martin Carrasco · Guy Wolf · Bastian Rieck

可解释性OpenReview

常见合作者

GWGuy Wolf×2 BRBastian Rieck×2 GBGuillermo Bernárdez MMMarco Montagna LLLouis Van Langendonck AAAmirreza Akbari LCLouisa Cornelis MPMathilde Papillon PBPere Barlet-Ros NMNina Miolane LTLev Telyatnikov CNCaio Deberaldini Netto