Shreya Agrawal

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 9

Top Topics

Multiplicative Noise

Machine Learning

Distributed Systems

Top Venues

Publications

Marcin Andrychowicz, Lasse Espeholt, Di Li, Samier Merchant, Alex Merose, Fred Zyda, Shreya Agrawal, Nal Kalchbrenner
Deep Learning for Day Forecasts from Sparse Observations. CoRR (2023)
Shreya Agrawal, Rob Carver, Cenk Gazen, Eric S. Maddy, Vladimir Krasnopolsky, Carla Bromberg, Zack Ontiveros, Tyler Russell, Jason Hickey, Sid-Ahmed Boukabara
A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts. CoRR (2023)
Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter W. Battaglia, Tyler Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, Fei Sha
WeatherBench 2: A benchmark for the next generation of data-driven global weather models. CoRR (2023)
Ignacio Lopez-Gomez, Amy McGovern, Shreya Agrawal, Jason Hickey
Global Extreme Heat Forecasting Using Neural Weather Models. CoRR (2022)
Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. CoRR (2021)
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner
MetNet: A Neural Weather Model for Precipitation Forecasting. CoRR (2020)
Shreya Agrawal, Luke Barrington, Carla Bromberg, John Burge, Cenk Gazen, Jason Hickey
Machine Learning for Precipitation Nowcasting from Radar Images. CoRR (2019)
Shreya Agrawal, Borzoo Bonakdarpour
Runtime Verification of k-Safety Hyperproperties in HyperLTL. CSF (2016)
Shreya Agrawal, Khuzaima Daudjee
A Performance Comparison of Algorithms for Byzantine Agreement in Distributed Systems. EDCC (2016)