activity
20172022
most citedSkillful Precipitation Nowcasting using Deep Generative Models of Radar

1k citations · 1.2k across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2022★ 172 cited

GraphCast: Learning skillful medium-range global weather forecasting

Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson +15

Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute reso…

cs.LG2021★ 1k cited

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Suman Ravuri, Karel Lenc, Matthew Willson +17

Precipitation nowcasting, the high-resolution forecasting of precipitation up to two hours ahead, supports the real-world socio-economic needs of many sectors reliant on weather-de…

math.NA2018

Multifidelity Dimension Reduction via Active Subspaces

Rémi Lam, Olivier Zahm, Youssef Marzouk +1

We propose a multifidelity dimension reduction method to identify a low-dimensional structure present in many engineering models. The structure of interest arises when functions va…

stat.ML2018★ 16 cited

Contour location via entropy reduction leveraging multiple information sources

Alexandre N. Marques, Remi R. Lam, Karen E. Willcox

We introduce an algorithm to locate contours of functions that are expensive to evaluate. The problem of locating contours arises in many applications, including classification, co…

stat.ML2017★ 9 cited

Should You Derive, Or Let the Data Drive? An Optimization Framework for Hybrid First-Principles Data-Driven Modeling

Remi R. Lam, Lior Horesh, Haim Avron +1

Mathematical models are used extensively for diverse tasks including analysis, optimization, and decision making. Frequently, those models are principled but imperfect representati…