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Found 8 papers, 3 papers with code
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning
Communication networks able to withstand hostile environments are critically important for disaster relief operations.
Topological Data Analysis for Anomaly Detection in Host-Based Logs
Topological Data Analysis (TDA) gives practioners the ability to analyse the global structure of cybersecurity data.
A Review of Topological Data Analysis for Cybersecurity
In cybersecurity it is often the case that malicious or anomalous activity can only be detected by combining many weak indicators of compromise, any one of which may not raise suspicion when taken alone.
Topological Vanilla Transfer Learning
In this paper we investigate the connection of topological similarity between source and target tasks with the efficiency of vanilla transfer learning (i. e., transfer learning without retraining) between them.
Hypothesis classes with a unique persistence diagram are NOT nonuniformly learnable
The implicit role of a topological term in a loss function is to restrict the class of functions in which we are learning (the hypothesis class) to those with a specific topology.
On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes
Many prior works have focused on _latent-encoded_ neural implicits, where a latent vector encoding of a specific shape is also fed as input.
UV-Net: Learning from Boundary Representations
We introduce UV-Net, a novel neural network architecture and representation designed to operate directly on Boundary representation (B-rep) data from 3D CAD models.
Fuzzy c-Means Clustering for Persistence Diagrams
We end with experiments on two datasets that utilise both the topological and fuzzy nature of our algorithm: pre-trained model selection in machine learning and lattices structures from materials science.
