Experimental observations of the topology of convolutional neural network activations E Purvine, D Brown, B Jefferson, C Joslyn, B Praggastis, A Rathore, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9470-9479, 2023 | 13 | 2023 |
The SVD of convolutional weights: A CNN interpretability framework B Praggastis, D Brown, CO Marrero, E Purvine, M Shapiro, B Wang arXiv preprint arXiv:2208.06894, 2022 | 13 | 2022 |
HyperNetX: A Python package for modeling complex network data as hypergraphs B Praggastis, S Aksoy, D Arendt, M Bonicillo, C Joslyn, E Purvine, ... arXiv preprint arXiv:2310.11626, 2023 | 12 | 2023 |
Topological analysis of temporal hypergraphs A Myers, C Joslyn, B Kay, E Purvine, G Roek, M Shapiro International workshop on algorithms and models for the web-graph, 127-146, 2023 | 12 | 2023 |
NeuroMANCER: Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations J Drgona, A Tuor, J Koch, M Shapiro, D Vrabie URL https://github. com/pnnl/neuromancer, 2023 | 11 | 2023 |
Optimal renormalization of multiscale systems J Price, B Meuris, M Shapiro, P Stinis Proceedings of the National Academy of Sciences 118 (37), e2102266118, 2021 | 6 | 2021 |
NeuroMANCER: Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations. 2023 J Drgona, A Tuor, J Koch, M Shapiro, D Vrabie URL https://github. com/pnnl/neuromancer, 0 | 3 | |
Introducing “Identification Probability” for Automated and Transferable Assessment of Metabolite Identification Confidence in Metabolomics and Related Studies TO Metz, CH Chang, V Gautam, A Anjum, S Tian, F Wang, SM Colby, ... Analytical Chemistry 97 (1), 1-11, 2024 | 2 | 2024 |
Wild comparisons: A study of how representation similarity changes when input data is drawn from a shifted distribution D Brown, MR Shapiro, A Bittner, J Warley, H Kvinge ICLR 2024 Workshop on Representational Alignment, 2024 | 2 | 2024 |
Comparing mapper graphs of artificial neuron activations Y Zhou, H Jenne, D Brown, M Shapiro, B Jefferson, C Joslyn, ... 2023 Topological Data Analysis and Visualization (TopoInVis), 41-50, 2023 | 2 | 2023 |
Introducing molecular hypernetworks for discovery in multidimensional metabolomics data SM Colby, MR Shapiro, A Lin, A Bilbao, CD Broeckling, E Purvine, ... Journal of Proteome Research 23 (11), 4789-4801, 2024 | 1 | 2024 |
Neural Differential Algebraic Equations J Koch, M Shapiro, H Sharma, D Vrabie, J Drgona arXiv preprint arXiv:2403.12938, 2024 | 1 | 2024 |
Unifying Combinatorial and Graphical Methods in Artificial Intelligence SG Aksoy, B Fang, R Gioiosa, WW Kay, H Lee, JA Bilbrey, MR Shapiro, ... Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2024 | | 2024 |
Model editing for distribution shifts in uranium oxide morphological analysis D Brown, C Nizinski, M Shapiro, C Fallon, T Yin, H Kvinge, JH Tu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
DeepDataProfiler: A Platform and Methodology for the Analysis and Interpretation of Neural Networks BL Praggastis, DR Brown, EAH Purvine, MR Shapiro, B Wang Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023 | | 2023 |
Attributing Learned Concepts in Neural Networks to Training Data N Konz, C Godfrey, M Shapiro, J Tu, H Kvinge, D Brown arXiv preprint arXiv:2310.03149, 2023 | | 2023 |
Molecular Hypernetworks for Exploration of Multi-Dimensional Metabolomics Data (Chyper) SM Colby, MR Shapiro, A Lin, A Bilbao, CD Broeckling, E Purvine, ... Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023 | | 2023 |
Domain Aware Deep-learning Algorithms Integrated with Scientific-computing Technologies (DADAIST) J Drgona, AR Tuor, JV Koch, MR Shapiro, E King, DL Vrabie Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023 | | 2023 |
pnnl/DeepDataProfiler B Praggastis Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2020 | | 2020 |
Enhanced Molecular Graph Embeddings with Inner Product Laplacians J Pope, B Kay, SJ Young, S Aksoy, H Jenne, M Shapiro, H Lee 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |