| The Young Supernova Experiment: survey goals, overview, and operations DO Jones, RJ Foley, G Narayan, J Hjorth, ME Huber, PD Aleo, ... The Astrophysical Journal 908 (2), 143, 2021 | 111 | 2021 |
| GHOST: Using Only Host Galaxy Information to Accurately Associate and Distinguish Supernovae A Gagliano, G Narayan, A Engel, MC Kind, ... The Astrophysical Journal 908 (2), 170, 2021 | 41 | 2021 |
| The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae PD Aleo, K Malanchev, S Sharief, DO Jones, G Narayan, RJ Foley, ... The Astrophysical Journal Supplement Series 266 (1), 9, 2023 | 40 | 2023 |
| YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop DA Coulter, DO Jones, P McGill, RJ Foley, PD Aleo, ... Publications of the Astronomical Society of the Pacific 135 (1048), 064501, 2023 | 29 | 2023 |
| YSE-PZ: an open-source target and observation management system DA Coulter, DO Jones, P McGill, RJ Foley, PD Aleo, ... Zenodo, 2022 | 27 | 2022 |
| Spectral evolution and invariance in linear-width neural networks Z Wang, A Engel, AD Sarwate, I Dumitriu, T Chiang Advances in Neural Information Processing Systems 36, 2024 | 18 | 2024 |
| The Young Supernova Experiment-Survey Announcement and First Discoveries DO Jones, KD French, A Agnello, CR Angus, Z Ansari, N Arendse, C Gall, ... The Astronomer's Telegram 13330, 1, 2019 | 9 | 2019 |
| Faithful and efficient explanations for neural networks via neural tangent kernel surrogate models A Engel, Z Wang, NS Frank, I Dumitriu, S Choudhury, A Sarwate, ... arXiv preprint arXiv:2305.14585, 2023 | 6* | 2023 |
| Efficient kernel surrogates for neural network-based regression S Qadeer, A Engel, A Howard, A Tsou, M Vargas, P Stinis, T Chiang arXiv preprint arXiv:2310.18612, 2023 | 5 | 2023 |
| Torchntk: A library for calculation of neural tangent kernels of pytorch models A Engel, Z Wang, AD Sarwate, S Choudhury, T Chiang arXiv preprint arXiv:2205.12372, 2022 | 5 | 2022 |
| The conjugate kernel for efficient training of physics-informed deep operator networks AA Howard, S Qadeer, AW Engel, A Tsou, M Vargas, T Chiang, P Stinis ICLR 2024 Workshop on AI4DifferentialEquations In Science, 0 | 4 | |
| Effect of online practice exams on student performance M Zhang, A Engel, T Stelzer, JW Morphew American Association of Physics Teachers, 2020 | 2 | 2020 |
| Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams PD Aleo, AW Engel, G Narayan, CR Angus, K Malanchev, K Auchettl, ... arXiv preprint arXiv:2404.01235, 2024 | 1 | 2024 |
| Foundation Model's Embedded Representations May Detect Distribution Shift M Vargas, A Tsou, A Engel, T Chiang arXiv preprint arXiv:2310.13836, 2023 | 1 | 2023 |
| Indoor Wireless Localization of Uncooperative Sources Using a Ray Tracing Model RT Clark, AW Engel, TE Shenk, DM Sheen 2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks, 68-70, 2023 | 1 | 2023 |
| Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation A Engel, N Byler, A Tsou, G Narayan, E Bonilla, I Smith arXiv preprint arXiv:2501.09112, 2025 | | 2025 |
| Evaluating Physically Motivated Loss Functions for Photometric Redshift Estimation A Engel, J Strube arXiv preprint arXiv:2310.13624, 2023 | | 2023 |
| Exploring Learned Representations of Neural Networks with Principal Component Analysis A Harlev, A Engel, P Stinis, T Chiang arXiv preprint arXiv:2309.15328, 2023 | | 2023 |
| Frequency Emitter Geolocation Using Signal Strength Fingerprinting Informed By 3D Propagation Modeling RT Clark, AW Engel, TE Shenk, MR Huyge, SL McDaid, RC Conrad, ... Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023 | | 2023 |
| The Young Supernova Experiment: Public Data Release 1 (YSE DR1) and First Application to the Photometric Classification of 1500 Supernovae P Aleo, K Malanchev, S Sharief, F Matasic, D Jones, G Narayan, VA Villar, ... American Astronomical Society Meeting Abstracts 55 (2), 143.04 D, 2023 | | 2023 |
