| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 167 | 2022 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
| Quantifying Uncertainty in Deep Spatiotemporal Forecasting D Wu, L Gao, X Xiong, M Chinazzi, A Vespignani, YA Ma, R Yu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 53 | 2021 |
| A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations M Shen, G Li, D Wu, Y Yaguchi, JC Haley, KG Field, D Morgan Computational Materials Science 197, 110560, 2021 | 39 | 2021 |
| Multi defect detection and analysis of electron microscopy images with deep learning M Shen, G Li, D Wu, Y Liu, JRC Greaves, W Hao, NJ Krakauer, L Krudy, ... Computational Materials Science 199, 110576, 2021 | 36 | 2021 |
| DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting D Wu, L Gao, X Xiong, M Chinazzi, A Vespignani, YA Ma, R Yu arXiv preprint arXiv:2102.06684, 2021 | 19 | 2021 |
| Multi-fidelity Hierarchical Neural Processes D Wu, M Chinazzi, A Vespignani, YA Ma, R Yu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 10 | 2022 |
| DeepViFi: detecting oncoviral infections in cancer genomes using transformers U Rajkumar, S Javadzadeh, M Bafna, D Wu, R Yu, J Shang, V Bafna Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 5 | 2022 |
| Disentangled Multi-Fidelity Deep Bayesian Active Learning D Wu, R Niu, M Chinazzi, Y Ma, R Yu Proceedings of the 40th International Conference on Machine Learning, 37624 …, 2023 | 3 | 2023 |
| Deep Bayesian Active Learning for Accelerating Stochastic Simulation D Wu, R Niu, M Chinazzi, A Vespignani, YA Ma, R Yu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 2* | 2023 |
| Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints L Kong, Y Du, W Mu, K Neklyudov, V De Bortol, H Wang, D Wu, A Ferber, ... arXiv preprint arXiv:2402.18012, 2024 | 1 | 2024 |
| Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling R Niu, D Wu, K Kim, YA Ma, D Watson-Parris, R Yu arXiv preprint arXiv:2402.18846, 2024 | | 2024 |
| MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling P Eckmann, D Wu, G Heinzelmann, MK Gilson, R Yu arXiv preprint arXiv:2402.10387, 2024 | | 2024 |
| Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes D Wu, T Idé, A Lozano, G Kollias, J Navrátil, N Abe, YA Ma, R Yu Proceedings of the 27th International Conference on Artificial Intelligence …, 2024 | | 2024 |
| DeepGLEAM: A hybrid mechanistic and deep learning model for COVID-19 forecasting (preprint) D Wu, L Gao, X Xiong, M Chinazzi, A Vespignani, YA Ma, R Yu | | 2021 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint) EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... | | 2021 |
Rose YuAssistant Professor, University of California, San DiegoVerified email at ucsd.edu
