activity
20182022
collaborators

8 papers

cs.LG2022

Experimental Observations of the Topology of Convolutional Neural Network Activations

Emilie Purvine, Davis Brown, Brett Jefferson +6

Topological data analysis (TDA) is a branch of computational mathematics, bridging algebraic topology and data science, that provides compact, noise-robust representations of compl…

cs.DC2022

High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis

Xu T. Liu, Jesun Firoz, Sinan Aksoy +5

Hypergraphs offer flexible and robust data representations for many applications, but methods that work directly on hypergraphs are not readily available and tend to be prohibitive…

q-bio.QM2020

Hypergraph Models of Biological Networks to Identify Genes Critical to Pathogenic Viral Response

Song Feng, Emily Heath, Brett Jefferson +25

Background: Representing biological networks as graphs is a powerful approach to reveal underlying patterns, signatures, and critical components from high-throughput biomolecular d…

cs.CV2020

Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers

Loc Truong, Chace Jones, Brian Hutchinson +5

Backdoor data poisoning attacks have recently been demonstrated in computer vision research as a potential safety risk for machine learning (ML) systems. Traditional data poisoning…

cs.DM2020

Hypernetwork Science: From Multidimensional Networks to Computational Topology

Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan +5

As data structures and mathematical objects used for complex systems modeling, hypergraphs sit nicely poised between on the one hand the world of network models, and on the other t…

physics.data-an2019

A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information

Cliff Joslyn, Lauren Charles, Chris DePerno +7

Integration of heterogeneous sensors is a challenging problem across a range of applications. Prominent among these are multi-target tracking, where one must combine observations f…