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Stefano Ermon

Showing results (1-10 of 17) with videos related to

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Transactions on Machine Learning Research|March 12, 2026
Calibrated Probabilistic Forecasts for Arbitrary SequencesCharles Marx, Volodymyr Kuleshov, Stefano Ermon
Science (New York, N.Y.)|March 19, 2021
Using satellite imagery to understand and promote sustainable developmentMarshall Burke, Anne Driscoll, David B Lobell, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 10, 2024
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation ModelZhuo Zheng, Stefano Ermon, Dongjun Kim, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 15, 2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion ModelsMuyang Li, Ji Lin, Chenlin Meng, et al.
Soft Matter|December 21, 2018
Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channelJian Wei Khor, Neal Jean, Eric S Luxenberg, et al.
Scientific Reports|September 30, 2016
Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB MagnetXiaoyue Duan, Feifei Yang, Erin Antono, et al.
Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment|August 29, 2025
Autonomous screening of complex phase spaces using Bayesian optimization for SAXS measurementsKhaled Younes, Michael Poli, Priyanka Muhunthan, et al.
Science (New York, N.Y.)|August 20, 2016
Combining satellite imagery and machine learning to predict povertyNeal Jean, Marshall Burke, Michael Xie, et al.
Nature Communications|May 24, 2020
Using publicly available satellite imagery and deep learning to understand economic well-being in AfricaChristopher Yeh, Anthony Perez, Anne Driscoll, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 23, 2021
Scalable deep learning to identify brick kilns and aid regulatory capacityJihyeon Lee, Nina R Brooks, Fahim Tajwar, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Transactions on Machine Learning Research|March 12, 2026
Calibrated Probabilistic Forecasts for Arbitrary SequencesCharles Marx, Volodymyr Kuleshov, Stefano Ermon
Science (New York, N.Y.)|March 19, 2021
Using satellite imagery to understand and promote sustainable developmentMarshall Burke, Anne Driscoll, David B Lobell, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 10, 2024
Changen2: Multi-Temporal Remote Sensing Generative Change Foundation ModelZhuo Zheng, Stefano Ermon, Dongjun Kim, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 15, 2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion ModelsMuyang Li, Ji Lin, Chenlin Meng, et al.
Soft Matter|December 21, 2018
Using machine learning to discover shape descriptors for predicting emulsion stability in a microfluidic channelJian Wei Khor, Neal Jean, Eric S Luxenberg, et al.
Scientific Reports|September 30, 2016
Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB MagnetXiaoyue Duan, Feifei Yang, Erin Antono, et al.
Nuclear Instruments & Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment|August 29, 2025
Autonomous screening of complex phase spaces using Bayesian optimization for SAXS measurementsKhaled Younes, Michael Poli, Priyanka Muhunthan, et al.
Science (New York, N.Y.)|August 20, 2016
Combining satellite imagery and machine learning to predict povertyNeal Jean, Marshall Burke, Michael Xie, et al.
Nature Communications|May 24, 2020
Using publicly available satellite imagery and deep learning to understand economic well-being in AfricaChristopher Yeh, Anthony Perez, Anne Driscoll, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 23, 2021
Scalable deep learning to identify brick kilns and aid regulatory capacityJihyeon Lee, Nina R Brooks, Fahim Tajwar, et al.
Pageof 2