Jenkins, W. F., Gerstoft, P., & Park, Y. (2024). Geoacoustic inversion using Bayesian optimization with a Gaussian process surrogate model. The Journal of the Acoustical Society of America, 156(2), 812–822. https://doi.org/10.1121/10.0028177

Zhou, Z., Gerstoft, P., & Olsen, K. (2024). Graph-learning approach to combine multiresolution seismic velocity models. Geophysical Journal International, 238(3), 1353–1365. https://doi.org/10.1093/gji/ggae212

Li, J., Gerstoft, P., & Fan, J. (2024). Eigenvalues of the noise covariance matrix in ocean waveguides. The Journal of the Acoustical Society of America, 156(1), 189–201. https://doi.org/10.1121/10.0026477

Liu, R., & Gerstoft, P. (2024). Spatial acoustic properties recovery with deep learning. The Journal of the Acoustical Society of America, 155(6), 3690–3701. https://doi.org/10.1121/10.0026231

Zhou, Z., Gerstoft, P., & Olsen, K. B. (2024). 3D Multiresolution Velocity Model Fusion with Probability Graphical Models. Bulletin of the Seismological Society of America, 114(3), 1279–1292. https://doi.org/10.1785/0120230271

Wiens, D. A., Aster, R. C., Nyblade, A. A., Bromirski, P. D., Gerstoft, P., & Stephen, R. A. (2024). Ross Ice Shelf Displacement and Elastic Plate Waves Induced by Whillans Ice Stream Slip Events. Geophysical Research Letters, 51(7), e2023GL108040. https://doi.org/10.1029/2023GL108040

Yoon, S., Park, Y., Gerstoft, P., & Seong, W. (2024). Predicting ocean pressure field with a physics-informed neural network. The Journal of the Acoustical Society of America, 155(3), 2037–2049. https://doi.org/10.1121/10.0025235

Mecklenbräuker, C. F., Gerstoft, P., Ollila, E., & Park, Y. (2024). Robust and sparse M-estimation of DOA. Signal Processing, 220, 109461. https://doi.org/10.1016/j.sigpro.2024.109461

Park, Y., & Gerstoft, P. (2024). Difference Frequency Gridless Sparse Array Processing. IEEE Open Journal of Signal Processing, 5, 914–925. https://doi.org/10.1109/OJSP.2024.3425284

Wu, Y., Wakin, M. B., & Gerstoft, P. (2024). Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA. IEEE Transactions on Signal Processing, 72, 2006–2020. https://doi.org/10.1109/TSP.2024.3386018

Sathyanarayanan, V., Gerstoft, P., & El Gamal, A. (2023). RML22: Realistic Dataset Generation for Wireless Modulation Classification. Ieee Transactions on Wireless Communications, 22(11), 7663–7675. https://doi.org/10.1109/Twc.2023.3254490

Jenkins, W. F., Gerstoft, P., & Park, Y. (2023). Bayesian optimization with Gaussian process surrogate model for source localization. The Journal of the Acoustical Society of America, 154(3), 1459–1470. https://doi.org/10.1121/10.0020839

Khurjekar, I. D., & Gerstoft, P. (2023). Uncertainty quantification for direction-of-arrival estimation with conformal prediction. The Journal of the Acoustical Society of America, 154(2), 979–990. https://doi.org/10.1121/10.0020655

Lee, J.-H., Park, Y., & Gerstoft, P. (2023). Compressive frequency-difference direction-of-arrival estimation. The Journal of the Acoustical Society of America, 154(1), 141–151. https://doi.org/10.1121/10.0020053

Liu, Y., Zhao, Y., Gerstoft, P., Zhou, F., Qiao, G., & Yin, J. (2023). Deep transfer learning-based variable Doppler underwater acoustic communications. The Journal of the Acoustical Society of America, 154(1), 232–244. https://doi.org/10.1121/10.0020147

Liu, R., Gerstoft, P., Bianco, M. J., & Rao, B. D. (2023). Recovery of spatially varying acoustical properties via automated partial differential equation identification. The Journal of the Acoustical Society of America, 153(6), 3169. https://doi.org/10.1121/10.0019592

Michalopoulou, Z. H., & Gerstoft, P. (2023). Waveform modeling with Gaussian Processes for inversion in ocean acoustics. Journal of the Acoustical Society of America, 153(3). https://doi.org/10.1121/10.0018577

Michalopoulou, Z. H., & Gerstoft, P. (2023). Inversion in an uncertain ocean using Gaussian processes. Journal of the Acoustical Society of America, 153(3), 1600–1611. https://doi.org/10.1121/10.0017437

Jenkins, W. F., Gerstoft, P., Chien, C. C., & Ozanich, E. (2023). Reducing dimensionality of spectrograms using convolutional autoencoders. Journal of the Acoustical Society of America, 153(3). https://doi.org/10.1121/10.0018582

Chien, C.-C., Jenkins, W. F., Gerstoft, P., Zumberge, M., & Mellors, R. (2023). Automatic classification with an autoencoder of seismic signals on a distributed acoustic sensing cable. Computers and Geotechnics, 155, 105223. https://doi.org/10.1016/j.compgeo.2022.105223

Fernandez-Grande, E., Karakonstantis, X., Caviedes-Nozal, D., & Gerstoft, P. (2023). Generative models for sound field reconstruction. The Journal of the Acoustical Society of America, 153(2), 1179–1190. https://doi.org/10.1121/10.0016896

Park, Y., Meyer, F., & Gerstoft, P. (2023). Graph-based sequential beamforming. The Journal of the Acoustical Society of America, 153(1), 723–737. https://doi.org/10.1121/10.0016876

De Salvio, D., Bianco, M. J., Gerstoft, P., D’Orazio, D., & Garai, M. (2023). Blind source separation by long-term monitoring: A variational autoencoder to validate the clustering analysis. The Journal of the Acoustical Society of America, 153(1), 738–750. https://doi.org/10.1121/10.0016887

Wu, Y. F., Wakin, M. B., & Gerstoft, P. (2023). Gridless DOA Estimation With Multiple Frequencies. Ieee Transactions on Signal Processing, 71, 417–432. https://doi.org/10.1109/Tsp.2023.3244091

Chaput, J., Aster, R., Karplus, M., Nakata, N., Gerstoft, P., Bromirski, P. D., Nyblade, A., Stephen, R. A., & Wiens, D. A. (2022). Near-surface seismic anisotropy in Antarctic glacial snow and ice revealed by high-frequency ambient noise. Journal of Glaciology, 1–17. https://doi.org/10.1017/jog.2022.98

Collins, M. D., Turgut, A., Buckingham, M. J., Gerstoft, P., & Siderius, M. (2022). Selected Topics of the Past Thirty Years in Ocean Acoustics. Journal of Theoretical and Computational Acoustics, 30(03), 22. https://doi.org/10.1142/s2591728522400011

Michalopoulou, Z. H., Gerstoft, P., Rios, D., & Hodgkiss, W. S. (2022). Tracking and Inversion Using Midfrequency Signals in the Seabed Characterization Experiment. Ieee Journal of Oceanic Engineering, 47(3), 657–669. https://doi.org/10.1109/Joe.2021.3122284

Park, Y., & Gerstoft, P. (2022). Gridless sparse covariance-based beamforming via alternating projections including co-prime arrays. Journal of the Acoustical Society of America, 151(6), 3828–3837. https://doi.org/10.1121/10.0011617

Gerstoft, P., Hu, Y. H., Bianco, M. J., Patil, C., Alegre, A., Freund, Y., & Grondin, F. (2022). Audio scene monitoring using redundant ad hoc microphone array networks. Ieee Internet of Things Journal, 9(6), 4259–4268. https://doi.org/10.1109/jiot.2021.3103523

Zhou, Z., Bianco, M., Gerstoft, P., & Olsen, K. (2022). High-Resolution Imaging of Complex Shallow Fault Zones Along the July 2019 Ridgecrest Ruptures. Geophysical Research Letters, 49(1). https://doi.org/ARTN e2021GL095024 10.1029/2021GL095024

Whiteaker, B., & Gerstoft, P. (2022). Reducing echo state network size with controllability matrices. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(7), 073116. https://doi.org/10.1063/5.0071926

Hahmann, M., Fernandez-Grande, E., Gunawan, H., & Gerstoft, P. (2022). Sound source localization using multiple ad hoc distributed microphone arrays. JASA Express Letters, 2(7), 074801. https://doi.org/10.1121/10.0011811

Herchig, R., Palermo, N., Gerstoft, P., Daniel, T., & Sternlicht, D. (2022). Comparing the Performance of Convolutional Neural Networks Trained to Localize Underwater Sound Sources. 2022 Oceans Hampton Roads. https://doi.org/10.1109/Oceans47191.2022.9977120

Bell, R., Harris, F. J., Gerstoft, P., & Bharadia, D. (2022). High Resolution Spectral Analysis and Signal Segregation Using the Polyphase Channelizer. 2022 56th Asilomar Conference on Signals, Systems, and Computers, 519–526. https://doi.org/10.1109/Ieeeconf56349.2022.10051908

Park, Y., Gerstoft, P., & Lee, J.-H. (2022). Difference-Frequency MUSIC for DOAs. IEEE Signal Processing Letters, 29, 2612–2616. https://doi.org/10.1109/LSP.2022.3230365

Groll, H., Gerstoft, P., Hofer, M., Blumenstein, J., Zemen, T., & Mecklenbrauker, C. F. (2022). Scatterer Identification by Atomic Norm Minimization in Vehicular mm-Wave Propagation Channels. Ieee Access, 10, 102334–102354. https://doi.org/10.1109/access.2022.3205616

Lai, P., Amirkulova, F., & Gerstoft, P. (2021). Conditional Wasserstein generative adversarial networks applied to acoustic metamaterial design. Journal of the Acoustical Society of America, 150(6), 4362–4374. https://doi.org/10.1121/10.0008929

Liu, R. X., Bianco, M. J., & Gerstoft, P. (2021). Automated partial differential equation identification. Journal of the Acoustical Society of America, 150(4), 2364–2374. https://doi.org/10.1121/10.0006444

Aster, R. C., Lipovsky, B. P., Cole, H. M., Bromirski, P. D., Gerstoft, P., Nyblade, A., Wiens, D. A., & Stephen, R. (2021). Swell-triggered seismicity at the near-front damage zone of the Ross Ice Shelf. Seismological Research Letters, 92(5), 2768–2792. https://doi.org/10.1785/0220200478

Jenkins, W. F., Gerstoft, P., Bianco, M. J., & Bromirski, P. D. (2021). Unsupervised deep clustering of seismic data: Monitoring the Ross Ice Shelf, Antarctica. Journal of Geophysical Research-Solid Earth, 126(9), 26. https://doi.org/10.1029/2021jb021716

Li, J., Siderius, M., Gerstoft, P., Fan, J., & Muzi, L. (2021). Head-wave correlations in layered seabed: Theory and modeling. JASA Express Letters, 1(9), 7. https://doi.org/10.1121/10.0006390

Shah, T., Zhuo, L., Lai, P., De la Rosa-Moreno, A., Amirkulova, F., & Gerstoft, P. (2021). Reinforcement learning applied to metamaterial design. Journal of the Acoustical Society of America, 150(1), 321–338. https://doi.org/10.1121/10.0005545

Niu, H. Q., Gerstoft, P., Zhang, R. H., Li, Z. L., Gong, Z. X., & Wang, H. B. (2021). Mode separation with one hydrophone in shallow water: A sparse Bayesian learning approach based on phase speed. Journal of the Acoustical Society of America, 149(6), 4366–4376. https://doi.org/10.1121/10.0005312

Wagner, M., Park, Y., & Gerstoft, P. (2021). Gridless DOA estimation and root-MUSIC for non-uniform linear arrays. Ieee Transactions on Signal Processing, 69, 2144–2157. https://doi.org/10.1109/tsp.2021.3068353

Ozanich, E., Thode, A., Gerstoft, P., Freeman, L. A., & Freeman, S. (2021). Deep embedded clustering of coral reef bioacoustics. Journal of the Acoustical Society of America, 149(4), 2587–2601. https://doi.org/10.1121/10.0004221

Park, Y., Meyer, F., & Gerstoft, P. (2021). Sequential sparse Bayesian learning for time-varying direction of arrival. Journal of the Acoustical Society of America, 149(3), 2089–2099. https://doi.org/10.1121/10.0003802

Cao, H. G., Wang, W. B., Su, L., Ni, H. Y., Gerstoft, P., Ren, Q. Y., & Ma, L. (2021). Deep transfer learning for underwater direction of arrival using one vector sensora). Journal of the Acoustical Society of America, 149(3), 1699–1711. https://doi.org/10.1121/10.0003645

Snover, D., Johnson, C. W., Bianco, M. J., & Gerstoft, P. (2021). Deep clustering to identify sources of urban seismic noise in Long Beach, California. Seismological Research Letters, 92(2), 1011–1022. https://doi.org/10.1785/0220200164

Thode, A. M., Conrad, A. S., Ozanich, E., King, R., Freeman, S. E., Freeman, L. A., Zgliczynski, B., Gerstoft, P., & Kim, K. H. (2021). Automated two-dimensional localization of underwater acoustic transient impulses using vector sensor image processing (vector sensor localization). Journal of the Acoustical Society of America, 149(2), 770–787. https://doi.org/10.1121/10.0003382

Baker, M. G., Aster, R. C., Wiens, D. A., Nyblade, A., Bromirski, P. D., Gerstoft, P., & Stephen, R. A. (2021). Teleseismic earthquake wavefields observed on the Ross Ice Shelf. Journal of Glaciology, 67(261), 58–74. https://doi.org/10.1017/jog.2020.83