Dava Newman

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 11

Top Topics

Machine Learning Systems

Top Venues

Publications

Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR (2023)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS (2023)
Ziv Epstein, Hope Schroeder, Dava Newman
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. CoRR (2022)
Björn Lütjens, Catherine H. Crawford, Campbell D. Watson, Christopher Hill, Dava Newman
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers. CoRR (2022)
Ziv Epstein, Hope Schroeder, Dava Newman
When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI. ICCC (2022)
Rupa Kurinchi-Vendhan, Björn Lütjens, Ritwik Gupta, Lucien Werner, Dava Newman
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data. CoRR (2021)
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aruna Sankaranarayanan, Aaron Piña, Yarin Gal, Chedy Raïssi, Alexander Lavin, Dava Newman
Physically-Consistent Generative Adversarial Networks for Coastal Flood Visualization. CoRR (2021)
Björn Lütjens, Catherine H. Crawford, Mark Veillette, Dava Newman
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling. CoRR (2021)
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atilim Günes Baydin, Amit Sharma, Adam Gibson, Yarin Gal, Eric P. Xing, Chris Mattmann, James Parr
Technology Readiness Levels for Machine Learning Systems. CoRR (2021)
Rachel Bellisle, Caroline K. Bjune, Dava Newman
Considerations for Wearable Sensors to Monitor Physical Performance During Spaceflight Intravehicular Activities. EMBC (2020)
Björn Lütjens, Brandon Leshchinskiy, Christian Requena-Mesa, Farrukh Chishtie, Natalia Díaz Rodríguez, Océane Boulais, Aaron Piña, Dava Newman, Alexander Lavin, Yarin Gal, Chedy Raïssi
Physics-informed GANs for Coastal Flood Visualization. CoRR (2020)
Leia Stirling, Alessandro Arsie, Emilio Frazzoli, Karen Willcox, Dava Newman
Application of quantized control to human self-rotation maneuvers in microgravity. CDC (2007)