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COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules

Paper recorded by Signals 4 on 2026-09-18 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.LG · 机器学习 · first seen 2026-09-21

Abstract

Every multiparameter persistence vectorization we know of carries a one-sided Lipschitz upper bound and nothing below it: without a lower gauge there is no sense in which the features are faithful, and no per-prediction guarantee can be built on them. This paper supplies the missing side. COMPLEX is a closed-form, training-free embedding of multiparameter modules -- slice the module along a fixed

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#7 most recent of 235 cs.LG papers we have recorded · ↑ newer: $λ$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Bu · ↓ older: Abstention and Noise Filtering: Two Missing Primitives of Softmax Atte
Cite this page: COMPLEX: A Closed-Form Certified Embedding of Multiparameter Persistence Modules: the #7 most recent of 235 cs.LG papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/complex-a-closed-form-certified-embedding-of-multiparameter-persistence-modules.html
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