Modeling Physically-Consistent, Chaotic Spatiotemporal Dynamics with Echo State Networks. - Alisha Sharma; Kaiyan Shi; Yiling Qiao; Matthew R. Ziemann (AAAI Spring Symposium: MLPS, 2021)

Convolutional Neural Networks for Radio Frequency Ray Tracing. - Matthew R. Ziemann; John S. Hyatt; Michael S. Lee (MILCOM, 2021)

Transformers for Robust Radar Waveform Classification. - Matthew R. Ziemann; Christopher A. Metzler (IEEECONF, 2022)

Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery. - Rushil Joshi; Ethan Adams; Matthew R. Ziemann; Christopher A. Metzler (CoRR, 2022)

Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks. - Matthew R. Ziemann; Christopher A. Metzler (ACSSC, 2023)

Adaptive LPD Radar Waveform Design with Generative Deep Learning. - Matthew R. Ziemann; Christopher A. Metzler (CoRR, 2024)