Skilful precipitation nowcasting using deep generative models of radar S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ... Nature 597 (7878), 672-677, 2021 | 639 | 2021 |
Learning skillful medium-range global weather forecasting R Lam, A Sanchez-Gonzalez, M Willson, P Wirnsberger, M Fortunato, ... Science, eadi2336, 2023 | 281* | 2023 |
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach R Lam, K Willcox, DH Wolpert Advances in Neural Information Processing Systems (NIPS), 883-891, 2016 | 121 | 2016 |
Multifidelity optimization using statistical surrogate modeling for non-hierarchical information sources R Lam, D Allaire, K Willcox 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2015 | 120 | 2015 |
Advances in Bayesian Optimization with Applications in Aerospace Engineering R Lam, M Poloczek, P Frazier, KE Willcox 2018 AIAA Non-Deterministic Approaches Conference, 1656, 2018 | 68 | 2018 |
Lookahead Bayesian Optimization with Inequality Constraints R Lam, K Willcox Advances in Neural Information Processing Systems (NIPS), 1888-1898, 2017 | 51 | 2017 |
Multifidelity Dimension Reduction via Active Subspaces RR Lam, O Zahm, YM Marzouk, KE Willcox SIAM Journal on Scientific Computing 42 (2), A929-A956, 2020 | 50 | 2020 |
Multifidelity Uncertainty Propagation via Adaptive Surrogates in Coupled Multidisciplinary Systems A Chaudhuri, R Lam, K Willcox AIAA Journal, 2017 | 50 | 2017 |
Contour Location via Entropy Reduction Leveraging Multiple Information Sources AN Marques, R Lam, KE Willcox Advances in Neural Information Processing Systems (NeurIPS) 31, 5217-5227, 2018 | 45 | 2018 |
Multifidelity Method for Locating Aeroelastic Flutter Boundaries AN Marques, MMJ Opgenoord, RR Lam, A Chaudhuri, KE Willcox AIAA Journal, 1-13, 2020 | 31 | 2020 |
Reusing Information for Multifidelity Active Learning in Reliability-Based Design Optimization A Chaudhuri, AN Marques, R Lam, KE Willcox AIAA Scitech 2019 Forum, 1222, 2019 | 19 | 2019 |
GenCast: Diffusion-based ensemble forecasting for medium-range weather I Price, A Sanchez-Gonzalez, F Alet, T Ewalds, A El-Kadi, J Stott, ... arXiv preprint arXiv:2312.15796, 2023 | 17 | 2023 |
Scaling Bayesian optimization for engineering design: lookahead approaches and multifidelity dimension reduction RRAP Lam Massachusetts Institute of Technology, 2018 | 3* | 2018 |
An Eddy-Diffusivity Mass-flux (EDMF) closure for the unified representation of cloud and convective processes Z Tan, T Schneider, J Teixeira, R Lam, KG Pressel AGU Fall Meeting Abstracts, 2014 | | 2014 |
Investigation of the MBL cloud feedback mechanism with a hierarchy of models Z Tan, T Schneider, J Teixeira, KG Pressel, R Lam EGU General Assembly Conference Abstracts 15, 2013 | | 2013 |
A Consistent Treatment of TKE and Scalar Variance in an Eddy Diffusivity Mass Flux Scheme K Pressel, T Schneider, J Teixeira, R Lam, Z Tan, C Kaul, K Suselj, ... EGU General Assembly Conference Abstracts 15, 2013 | | 2013 |