{"total":20,"rows":[{"id":"2205.07424","title":"Trustworthy Graph Neural Networks: Aspects, Methods and Trends","created":"2022-05-16","cited_by_count":89,"area":null},{"id":"2106.06469","title":"Topological Detection of Trojaned Neural Networks","created":"2021-06-11","cited_by_count":34,"area":null},{"id":"2112.15210","title":"Persformer: A Transformer Architecture for Topological Machine Learning","created":"2021-12-30","cited_by_count":19,"area":null},{"id":"2410.11042","title":"Persistent Topological Features in Large Language Models","created":"2024-10-14","cited_by_count":12,"area":null},{"id":"2212.00222","title":"Experimental Observations of the Topology of Convolutional Neural Network Activations","created":"2022-12-01","cited_by_count":10,"area":null},{"id":"2309.09403","title":"Selecting which Dense Retriever to use for Zero-Shot Search","created":"2023-09-18","cited_by_count":7,"area":null},{"id":"2405.18820","title":"Diffeomorphic interpolation for efficient persistence-based topological optimization","created":"2024-05-29","cited_by_count":6,"area":null},{"id":"2206.06563","title":"Zeroth-Order Topological Insights into Iterative Magnitude Pruning","created":"2022-06-14","cited_by_count":2,"area":null},{"id":"2305.13271","title":"MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks","created":"2023-05-22","cited_by_count":2,"area":null},{"id":"2307.10865","title":"Addressing caveats of neural persistence with deep graph persistence","created":"2023-07-20","cited_by_count":1,"area":null},{"id":"2402.11237","title":"Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning","created":"2024-02-17","cited_by_count":1,"area":null},{"id":"2501.12522","title":"Topology of Out-of-Distribution Examples in Deep Neural Networks","created":"2025-01-21","cited_by_count":1,"area":null},{"id":"2506.01569","title":"Latent Space Topology Evolution in Multilayer Perceptrons","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2508.19683","title":"Topological Uncertainty for Anomaly Detection in the Neural-network EoS Inference with Neutron Star Data","created":"2025-08-27","cited_by_count":1,"area":null},{"id":"2111.14829","title":"Nonparametric Topological Layers in Neural Networks","created":"2021-11-27","cited_by_count":0,"area":null},{"id":"2309.04837","title":"HAct: Out-of-Distribution Detection with Neural Net Activation Histograms","created":"2023-09-09","cited_by_count":0,"area":null},{"id":"2409.13875","title":"Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2511.18813","title":"Uncertainty of Network Topology with Applications to Out-of-Distribution Detection","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2603.14768","title":"Understanding the geometry of deep learning with decision boundary volume","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2605.10996","title":"Towards Scalable Persistence-Based Topological Optimization","created":"2026-05-09","cited_by_count":0,"area":null}],"next_cursor":null}