| HIV care using differentiated service delivery during the COVID‐19 pandemic: a nationwide cohort study in the US Department of Veterans Affairs KA McGinnis, M Skanderson, AC Justice, KM Akgün, JP Tate, JT King Jr, ... Journal of the International AIDS Society 24, e25810, 2021 | 22 | 2021 |
| Deep Learning Generalization and the Convex Hull of Training Sets R Yousefzadeh NeurIPS 2020 Deep Learning through Information Geometry Workshop, 2020 | 20 | 2020 |
| Investigating Decision Boundaries of Trained Neural Networks R Yousefzadeh, DP O'Leary arXiv preprint arXiv:1908.02802, 2019 | 20 | 2019 |
| Deep Learning Interpretation: Flip Points and Homotopy Methods R Yousefzadeh, DP O’Leary Mathematical and Scientific Machine Learning, PMLR, 1-26, 2020 | 12 | 2020 |
| Interpreting neural networks using flip points R Yousefzadeh, DP O'Leary arXiv preprint arXiv:1903.08789, 2019 | 12 | 2019 |
| Auditing and Debugging Deep Learning Models via Flip Points: Individual-level and Group-level Analysis R Yousefzadeh, D O'Leary La Matematica 1 (1), 19-52, 2021 | 11* | 2021 |
| Extrapolation and AI transparency: Why machine learning models should reveal when they make decisions beyond their training X Cao, R Yousefzadeh Big Data & Society 10 (1), 20539517231169731, 2023 | 8 | 2023 |
| To what extent should we trust AI models when they extrapolate? R Yousefzadeh, X Cao arXiv preprint arXiv:2201.11260, 2022 | 7 | 2022 |
| Using Wavelets and Spectral Methods to Study Patterns in Image-Classification Datasets R Yousefzadeh, F Huang arXiv preprint arXiv:2006.09879, 2020 | 7 | 2020 |
| Decision boundaries and convex hulls in the feature space that deep learning functions learn from images R Yousefzadeh arXiv preprint arXiv:2202.04052, 2022 | 6 | 2022 |
| Interpreting Machine Learning Models and Application of Homotopy Methods R Yousefzadeh University of Maryland, College Park, 2019 | 5 | 2019 |
| Debugging Trained Machine Learning Models Using Flip Points R Yousefzadeh, DP O’Leary ICLR 2019 Workshop on Debugging Machine Learning Models, 2019 | 5 | 2019 |
| Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models R Yousefzadeh, JA Mollick NeurIPS Workshop on Human and Machine Decisions, 2021 | 4 | 2021 |
| Large Language Models' Understanding of Math: Source Criticism and Extrapolation R Yousefzadeh, X Cao | 3 | 2023 |
| Using Wavelets to Analyze Similarities in Image-Classification Datasets R Yousefzadeh arXiv preprint arXiv:2002.10257, 2020 | 3 | 2020 |
| Refining the Structure of Neural Networks Using Matrix Conditioning R Yousefzadeh, DP O'Leary arXiv preprint arXiv:1908.02400, 2019 | 3 | 2019 |
| A Sketching Method for Finding the Closest Point on a Convex Hull R Yousefzadeh arXiv preprint arXiv:2102.10502, 2021 | 2 | 2021 |
| Deep Learning Generalization, Extrapolation, and Over-parameterization R Yousefzadeh arXiv preprint arXiv:2203.10366, 2022 | 1 | 2022 |
| A Probabilistic Framework and a Homotopy Method for Real-time Hierarchical Freight Dispatch Decisions R Yousefzadeh, DP O'Leary arXiv preprint arXiv:1912.03733, 2019 | 1 | 2019 |
| Learning Diverse Gaussian Graphical Models and Interpreting Edges R Yousefzadeh, D Oyen, N Lanza Proceedings of the 2019 SIAM International Conference on Data Mining, 405-413, 2019 | 1 | 2019 |
Dianne P O'LearyProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
