Thomas Vandal

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 18

Top Topics

Surface Reflectance

Top Venues

Publications

Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani
Spectral Synthesis for Geostationary Satellite-to-Satellite Translation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel
Quantum-assisted associative adversarial network: applying quantum annealing in deep learning. Quantum Mach. Intell. 3 (2) (2021)
Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. CoRR (2020)
Thomas Vandal, Daniel J. McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani
Spectral Synthesis for Satellite-to-Satellite Translation. CoRR (2020)
Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. KDD (2020)
Ramakrishna R. Nemani, Weile Wang, Hirofumi Hashimoto, Andrew R. Michaelis, Thomas Vandal, Alexei I. Lyapustin, Jia Zhang, Tsengdar J. Lee, Satya Kalluri, Hideaki Takenaka, Atsushi Higuchi, Kazuhito Ichii, Shuang Li, Jong-Min Yeom
GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems. IGARSS (2020)
Shuang Li, Weile Wang, Hirofumi Hashimoto, Jun Xiong, Thomas Vandal, Jing Yao, Lexiang Qian, Kazuhito Ichii, Alexei I. Lyapustin, Yujie Wang, Ramakrishna R. Nemani
First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI. Remote. Sens. 11 (24) (2019)
Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR (2019)
Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning. CoRR (2019)
Thomas Vandal, Ramakrishna R. Nemani
Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data. CoRR (2019)
Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data 2 (2019)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR (2018)
Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD (2018)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. IJCAI (2018)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. KDD (2017)
Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. CoRR (2017)
Thomas Vandal, Max Livingston, Camen Piho, Sam Zimmerman
Prediction and Uncertainty Quantification of Daily Airport Flight Delays. PAPIs (2017)
Thomas Vandal, Daniel J. McDuff, Rana El Kaliouby
Event detection: Ultra large-scale clustering of facial expressions. FG (2015)