activity
20152026
most citedTopological Deep Learning: Going Beyond Graph Data

27 citations · 63 across the 13 of their papers we have counts for

collaborators

16 papers

quant-ph2026

Hybrid quantum-classical attention for histopathology-based molecular profiling in data-limited cancers

Kahn Rhrissorrakrai, Aritra Bose, Aldo Guzman-Saenz +3

Molecular profiling from routine histopathology could expand access to precision oncology when sequencing is unavailable, tissue is limited, or training cohorts are small. We devel…

math.GT2026

Knots, black holes, databases, and birthdays: Collision entropy of knot invariants

Pedro Olivares-Sánchez, Edison Jessie Vázquez Gordillo, Radmila Sazdanović +5

A knot invariant is a fingerprint shared by equivalent knots: unequal values certify inequivalence, while equal values may conceal different knots. Under two rooted random-diagram…

math.AT2026

Essential Simplices Dominate in Harmonic Representatives of One-Dimensional Persistent Classes

Saugata Basu, Aldo Guzmán-Sáenz, Laxmi Parida

Persistent homology summarizes the birth and death of topological features, but it does not by itself specify where a feature is located in the underlying complex. Harmonic persist…

cs.LG2025

Quantum Ensembling Methods for Healthcare and Life Science

Kahn Rhrissorrakrai, Kathleen E. Hamilton, Prerana Bangalore Parthsarathy +4

Learning on small data is a challenge frequently encountered in many real-world applications. In this work we study how effective quantum ensemble models are when trained on small…

cs.CV2024

Order Theory in the Context of Machine Learning

Eric Dolores-Cuenca, Aldo Guzman-Saenz, Sangil Kim +2

The paper ``Tropical Geometry of Deep Neural Networks'' by L. Zhang et al. introduces an equivalence between integer-valued neural networks (IVNN) with and tropic…

math.CO2024

The gold partition conjecture and the Lexicographic sum of posets

Eric R. Dolores-Cuenca, Aldo Guzmán-Sáenz, Sangil Kim

We prove that if a finite poset satisfies the Gold Partition Conjecture, and is a finite poset, then for any the lexicographic sum of with on t…

cs.LG2024★ 2 cited

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains

Mustafa Hajij, Mathilde Papillon, Florian Frantzen +40

We introduce TopoX, a Python software suite that provides reliable and user-friendly building blocks for computing and machine learning on topological domains that extend graphs: h…

cs.LG2023

Topo-MLP : A Simplicial Network Without Message Passing

Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij

Due to their ability to model meaningful higher order relations among a set of entities, higher order network models have emerged recently as a powerful alternative for graph-based…

q-bio.GN2023

Probing omics data via harmonic persistent homology

Davide Gurnari, Aldo Guzmán-Sáenz, Filippo Utro +3

Identifying molecular signatures from complex disease patients with underlying symptomatic similarities is a significant challenge in the analysis of high dimensional multi-omics d…

physics.data-an2023

Simplicial complex entropy for time series analysis

L. Guzman-Vargas, A. Zabaleta-Ortega, A. Guzman-Saenz

The complex behavior of many systems in nature requires the application of robust methodologies capable of identifying changes in their dynamics. In the case of time series (which…

cs.LG2023

ICML 2023 Topological Deep Learning Challenge : Design and Results

Mathilde Papillon, Mustafa Hajij, Helen Jenne +53

This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…

quant-ph2023★ 9 cited

Towards quantum-enabled cell-centric therapeutics

Saugata Basu, Jannis Born, Aritra Bose +30

In recent years, there has been tremendous progress in the development of quantum computing hardware, algorithms and services leading to the expectation that in the near future qua…

cs.LG2022★ 27 cited

Topological Deep Learning: Going Beyond Graph Data

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou +11

Topological deep learning is a rapidly growing field that pertains to the development of deep learning models for data supported on topological domains such as simplicial complexes…

nlin.AO2018★ 24 cited

Self-Organized Criticality and Pattern Emergence through the lens of Tropical Geometry

Nikita Kalinin, Aldo Guzmán-Sáenz, Yulieth Prieto +3

Tropical Geometry, an established field in pure mathematics, is a place where String Theory, Mirror Symmetry, Computational Algebra, Auction Theory, etc, meet and influence each ot…

math.AT2016★ 1 cited

The stability of the higher topological complexity of real projective spaces: an approach to their immersion dimension

Natalia Cadavid, Jesús González, Aldo Guzmán-Sáenz

The -th higher topological complexity of a space , , can be estimated from above by homotopical methods, and from below by homological methods. We give a thorough an…

math.AT2015

The cohomology ring away from 2 of configuration spaces on real projective spaces

Jesús González, Aldo Guzmán-Sáenz, Miguel Xicotencatl

Let R be a commutative ring containing 1/2. We compute the R-cohomology ring of the configuration space F(m,k) of k ordered points in the m-dimensional real projective space. The m…