Thomas Vandal

According to our database, Thomas Vandal authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow.

Thomas J. Vandal, Ramakrishna R. Nemani

IEEE Trans. Neural Networks Learn. Syst., July, 2023

A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing.

Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly

IEEE Trans. Neural Networks Learn. Syst., July, 2023

2022

Spectral Synthesis for Geostationary Satellite-to-Satellite Translation.

Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani

IEEE Trans. Geosci. Remote. Sens., 2022

Multisensor Machine Learning to Retrieve High Spatiotemporal Resolution Land Surface Temperature.

Kate Duffy, Thomas J. Vandal, Ramakrishna R. Nemani

IEEE Access, 2022

Dense Feature Tracking of Atmospheric Winds with Deep Optical Flow.

Thomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Quantum-assisted associative adversarial network: applying quantum annealing in deep learning.

Max Wilson, Thomas Vandal, Tad Hogg, Eleanor Gilbert Rieffel

Quantum Mach. Intell., 2021

2020

Spectral Synthesis for Satellite-to-Satellite Translation.

Thomas Vandal, Daniel McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani

CoRR, 2020

High-Dimensional Similarity Search with Quantum-Assisted Variational Autoencoder.

Nicholas Gao, Max Wilson, Thomas Vandal, Walter Vinci, Ramakrishna R. Nemani, Eleanor Gilbert Rieffel

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

GeoNEX: A Geostationary Earth Observatory at NASA Earth Exchange: Earth Monitoring from Operational Geostationary Satellite Systems.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

First Provisional Land Surface Reflectance Product from Geostationary Satellite Himawari-8 AHI.

Shuang Li, Weile Wang, Hirofumi Hashimoto, Jun Xiong, Thomas Vandal, Jing Yao, Lexiang Qian, Kazuhito Ichii, Alexei I. Lyapustin, Yujie Wang, Ramakrishna R. Nemani

Remote. Sens., 2019

DeepEmSat: Deep Emulation for Satellite Data Mining.

Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly

Frontiers Big Data, 2019

Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC).

Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly

CoRR, 2019

Optical Flow for Intermediate Frame Interpolation of Multispectral Geostationary Satellite Data.

Thomas Vandal, Ramakrishna R. Nemani

CoRR, 2019

2018

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.

Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version.

Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Prediction and Uncertainty Quantification of Daily Airport Flight Delays.

Thomas Vandal, Max Livingston, Camen Piho, Sam Zimmerman

Proceedings of the 4th International Conference on Predictive Applications and APIs, 2017

DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution.

Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2015

Event detection: Ultra large-scale clustering of facial expressions.

Thomas Vandal, Daniel McDuff, Rana El Kaliouby

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015