Data-driven framework for real-time thermospheric density estimation. - Piyush M. Mehta; Richard Linares (CoRR, 2018)

Machine-Learned HASDM Model with Uncertainty Quantification. - Richard J. Licata; Piyush M. Mehta; W. Kent Tobiska; Snehalata V. Huzurbazar (CoRR, 2021)

Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. - Ali Zafari; Atefeh Khoshkhahtinat; Piyush M. Mehta; Nasser M. Nasrabadi; Barbara J. Thompson; Daniel Da Silva; Michael S. F. Kirk (ICMLA, 2022)

Uncertainty Quantification Techniques for Space Weather Modeling: Thermospheric Density Application. - Richard J. Licata; Piyush M. Mehta (CoRR, 2022)

Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling. - Richard J. Licata; Piyush M. Mehta; Daniel R. Weimer; Douglas P. Drob; W. Kent Tobiska; Jean Yoshii (CoRR, 2022)

Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification. - Richard J. Licata; Piyush M. Mehta; Daniel R. Weimer; W. Kent Tobiska; Jean Yoshii (CoRR, 2022)

Reduced Order Probabilistic Emulation for Physics-Based Thermosphere Models. - Richard J. Licata; Piyush M. Mehta (CoRR, 2022)

Frequency Disentangled Features in Neural Image Compression. - Ali Zafari; Atefeh Khoshkhahtinat; Piyush M. Mehta; Mohammad Saeed Ebrahimi Saadabadi; Mohammad Akyash; Nasser M. Nasrabadi (ICIP, 2023)

Multi-Context Dual Hyper-Prior Neural Image Compression. - Atefeh Khoshkhahtinat; Ali Zafari; Piyush M. Mehta; Mohammad Akyash; Hossein Kashiani; Nasser M. Nasrabadi (ICMLA, 2023)

Context-Aware Neural Video Compression on Solar Dynamics Observatory. - Atefeh Khoshkhahtinat; Ali Zafari; Piyush M. Mehta; Nasser M. Nasrabadi; Barbara J. Thompson; Michael S. F. Kirk; Daniel Da Silva (ICMLA, 2023)

Multi-Spectral Entropy Constrained Neural Compression of Solar Imagery. - Ali Zafari; Atefeh Khoshkhahtinat; Piyush M. Mehta; Nasser M. Nasrabadi; Barbara J. Thompson; Michael S. F. Kirk; Daniel Da Silva (ICMLA, 2023)

Probabilistic Solar Proxy Forecasting with Neural Network Ensembles. - Joshua D. Daniell; Piyush M. Mehta (CoRR, 2023)

Deep Learning Based Nonlinear Dimensionality Reduction for Emulators of Numerical Thermosphere Density Models. - Richard J. Licata; Piyush M. Mehta (CEC, 2024)

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis. - Atefeh Khoshkhahtinat; Ali Zafari; Piyush M. Mehta; Nasser M. Nasrabadi (CVPR, 2024)

Neural-Based Compression Scheme for Solar Image Data. - Ali Zafari; Atefeh Khoshkhahtinat; Jeremy A. Grajeda; Piyush M. Mehta; Nasser M. Nasrabadi; Laura E. Boucheron; Barbara J. Thompson; Michael S. F. Kirk; Daniel Da Silva (IEEE Trans. Aerosp. Electron. Syst., 2024)

Neural-Based Video Compression on Solar Dynamics Observatory Images. - Atefeh Khoshkhahtinat; Ali Zafari; Piyush M. Mehta; Nasser M. Nasrabadi; Barbara J. Thompson; Michael S. F. Kirk; Daniel Da Silva (IEEE Trans. Aerosp. Electron. Syst., 2024)

Integrated Global-Local Gaussian Attention for Image Compression. - Atefeh Khoshkhahtinat; Piyush M. Mehta (ICASSP, 2025)