Articles avec mandats d'accès public - Rose YuEn savoir plus
Disponibles quelque part : 48
Deep learning: A generic approach for extreme condition traffic forecasting
R Yu, Y Li, C Shahabi, U Demiryurek, Y Liu
Proceedings of the 2017 SIAM international Conference on Data Mining, 777-785, 2017
Exigences : US National Science Foundation
Towards physics-informed deep learning for turbulent flow prediction
R Wang, K Kashinath, M Mustafa, A Albert, R Yu
Proceedings of the 26th ACM SIGKDD international conference on Knowledge …, 2020
Exigences : US Department of Energy
Long-term forecasting using higher order tensor RNNs
R Yu, S Zheng, A Anandkumar, Y Yue
Journal of Machine Learning Research (JMLR), 2017
Exigences : US National Science Foundation, US Department of Defense
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
Exigences : US National Science Foundation, US Department of Energy, Bill & Melinda …
Latent Space Model for Road Networks to Predict Time-Varying Traffic
D Deng, C Shahabi, U Demiryurek, L Zhu, R Yu, Y Liu
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
Exigences : US National Science Foundation
Naomi: Non-autoregressive multiresolution sequence imputation
Y Liu, R Yu, S Zheng, E Zhan, Y Yue
Advances in Neural Information Processing Systems, 2019
Exigences : US National Science Foundation, US Department of Defense
Understanding the representation power of graph neural networks in learning graph topology
N Dehmamy, AL Barabási, R Yu
Advances in Neural Information Processing Systems, 2019
Exigences : US National Science Foundation, US Department of Defense
SELFIES and the future of molecular string representations
M Krenn, Q Ai, S Barthel, N Carson, A Frei, NC Frey, P Friederich, ...
Patterns 3 (10), 2022
Exigences : US National Science Foundation, Fundação de Amparo à Pesquisa do Estado de …
Automatic symmetry discovery with lie algebra convolutional network
N Dehmamy, R Walters, Y Liu, D Wang, R Yu
Advances in Neural Information Processing Systems 34, 2503-2515, 2021
Exigences : US National Science Foundation, US Department of Energy, US Department of …
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
Exigences : US National Science Foundation, Bill & Melinda Gates Foundation, US National …
Physics-guided deep learning for dynamical systems: A survey
R Wang, R Yu
arXiv preprint arXiv:2107.01272, 2021
Exigences : US National Science Foundation, US Department of Energy, US Department of …
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
R Wang, R Walters, R Yu
Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
Exigences : US National Science Foundation, US Department of Energy, US Department of …
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
D Wu, L Gao, X Xiong, M Chinazzi, A Vespignani, YA Ma, R Yu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021, 2021
Exigences : US National Science Foundation, US Department of Defense, US National …
Deep Imitation Learning for Bimanual Robotic Manipulation
F Xie, A Chowdhury, M Kaluza, L Zhao, LLS Wong, R Yu
Advances in Neural Information Processing Systems, 2020
Exigences : US National Science Foundation, US Department of Energy, US Department of …
Improving the generalizability of protein-ligand binding predictions with AI-Bind
A Chatterjee, R Walters, Z Shafi, OS Ahmed, M Sebek, D Gysi, R Yu, ...
Nature communications 14 (1), 1989, 2023
Exigences : US National Institutes of Health, American Heart Association, European …
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network
M Krenn, L Buffoni, B Coutinho, S Eppel, JG Foster, A Gritsevskiy, H Lee, ...
Nature Machine Intelligence 5 (11), 1326-1335, 2023
Exigences : US National Science Foundation, Fundação para a Ciência e a Tecnologia …
Tensor Regression Meets Gaussian Processes
R Yu, G Li, Y Liu
21st International Conference on Artificial Intelligence and Statistics …, 2018
Exigences : US National Science Foundation
On the connection between mpnn and graph transformer
C Cai, TS Hy, R Yu, Y Wang
Proceedings of the 40th International Conference on Machine Learning (ICML), 2023
Exigences : US National Science Foundation, US Department of Energy, US Department of …
LIMO: Latent Inceptionism for Targeted Molecule Generation
P Eckmann, K Sun, B Zhao, M Feng, MK Gilson, R Yu
Proceedings of the 39th International Conference on Machine Learning (ICML), 2022
Exigences : US National Science Foundation, US Department of Energy, US National …
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
R Wang, Y Dong, SO Arik, R Yu
The Eleventh International Conference on Learning Representations (ICLR), 2022
Exigences : US National Science Foundation, US Department of Energy, US Department of …
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