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2020 – today
- 2024
[i8]Thomas J. Vandal, Kate Duffy, Daniel McDuff, Yoni Nachmany, Chris Hartshorn:
Global atmospheric data assimilation with multi-modal masked autoencoders. CoRR abs/2407.11696 (2024)- 2023
- [j7]Thomas J. Vandal
, Ramakrishna R. Nemani:
Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3245-3254 (2023) - [j6]Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3345-3356 (2023) - 2022
- [j5]Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani:
Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature. IEEE Access 10: 89221-89231 (2022) - [j4]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: 1-11 (2022) - [c8]Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani:
Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow. KDD 2022: 1807-1815 - 2021
- [j3]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): 1-14 (2021) - 2020
- [c7]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: 128-131 - [c6]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: 956-964 - [i7]Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel:
High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder. CoRR abs/2006.07680 (2020) - [i6]Thomas Vandal, Daniel McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani:
Spectral Synthesis for Satellite-to-Satellite Translation. CoRR abs/2010.06045 (2020)
2010 – 2019
- 2019
- [j2]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: 42 (2019) - [j1]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): 2990 (2019) - [i5]Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel:
Quantum-assisted associative adversarial network: Applying quantum annealing in deep learning. CoRR abs/1904.10573 (2019) - [i4]Thomas Vandal, Ramakrishna R. Nemani:
Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data. CoRR abs/1907.12013 (2019) - [i3]Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR abs/1910.13408 (2019) - 2018
- [c5]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: 5389-5393 - [c4]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: 2377-2386 - [i2]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 abs/1802.04742 (2018) - 2017
- [c3]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: 1663-1672 - [c2]Thomas Vandal, Max Livingston, Camen Piho, Sam Zimmerman:
Prediction and Uncertainty Quantification of Daily Airport Flight Delays. PAPIs 2017: 45-51 - [i1]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 abs/1703.03126 (2017) - 2015
- [c1]Thomas Vandal, Daniel McDuff, Rana El Kaliouby:
Event detection: Ultra large-scale clustering of facial expressions. FG 2015: 1-8
Coauthor Index
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