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20242026
most citedADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities

2 citations · 5 across the 8 of their papers we have counts for

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7 papers · 1 filter

math.AT2024

Estimating the persistent homology of -valued functions using function-geometric multifiltrations

Ethan André, Jingyi Li, David Loiseaux +1

Given an unknown -valued function on a metric space , can we approximate the persistent homology of from a finite sampling of with known pairwise dista…

math.AT2024

Computation of -linear projected barcodes for multiparameter persistence

Alex Fernandes, Steve Oudot, Francois Petit

The -linear projected barcode was recently introduced as an alternative to the well-known fibered barcode for multiparameter persistence, in which restrictions of the modules to…

cs.CV2024★ 2 cited

ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities

Julie Mordacq, Leo Milecki, Maria Vakalopoulou +2

Multimodality has recently gained attention in the medical domain, where imaging or video modalities may be integrated with biomedical signals or health records. Yet, two challenge…

cs.CG2024★ 2 cited

Differentiability and Optimization of Multiparameter Persistent Homology

Luis Scoccola, Siddharth Setlur, David Loiseaux +2

Real-valued functions on geometric data -- such as node attributes on a graph -- can be optimized using descriptors from persistent homology, allowing the user to incorporate topol…

cs.LG2024

D-GRIL: End-to-End Topological Learning with 2-parameter Persistence

Soham Mukherjee, Shreyas N. Samaga, Cheng Xin +2

End-to-end topological learning using 1-parameter persistence is well-known. We show that the framework can be enhanced using 2-parameter persistence by adopting a recently introdu…

cs.CG2024

Efficient computation of topological integral transforms

Vadim Lebovici, Steve Oudot, Hugo Passe

Topological integral transforms have found many applications in shape analysis, from prediction of clinical outcomes in brain cancer to analysis of barley seeds. Using Euler charac…

math.RT2024★ 1 cited

Local characterization of block-decomposability for multiparameter persistence modules

Vadim Lebovici, Jan-Paul Lerch, Steve Oudot

Local conditions for the direct summands of a persistence module to belong to a certain class of indecomposables have been proposed in the 2-parameter setting, notably for the clas…