| Algorithmic determination of the combinatorial structure of the linear regions of relu neural networks M Masden arXiv preprint arXiv:2207.07696, 2022 | 11 | 2022 |
| Local and global topological complexity measures OF ReLU neural network functions J Elisenda Grigsby, K Lindsey, M Masden arXiv e-prints, arXiv: 2204.06062, 2022 | 5* | 2022 |
| Linear discriminant initialization for feed-forward neural networks M Masden, D Sinha arXiv preprint arXiv:2007.12782, 2020 | 3 | 2020 |
| Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy SA Chowdhury, MFN Taufique, J Wang, M Masden, M Wenzlick, ... Integrating Materials and Manufacturing Innovation, 1-13, 2024 | | 2024 |
| Accessing the Topological Properties of Neural Network Functions M Masden University of Oregon, 2023 | | 2023 |
| Level set topology for piecewise linear functions: From ReLU neural networks to more general polyhedral domains. M Masden 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
| Precise computation of cellular topology of neural network functions M Masden 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
| Topological properties of ReLU network functions, at initialization and during training M Masden 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
Kathryn A. LindseyBoston CollegeVerified email at bc.edu
