Deep clustering, multiscale representation learning, segmentation, separation
- ‘Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning’, Nature Comm. 11 (2020) 3972, doi:10.1038/s41467-020-17841-x, with L. Seydoux, R. Balestriero, P. Poli, M. Campillo and R. Baraniuk. View
- ‘Unearthing InSights into Mars: Unsupervised source separation with limited data’, ICML 202 (2023) 31754-31772, with A. Siahkoohi, R. Morel, E. Allys, G. Sainton and T. Kawamura. View
- ‘Multi-scale clustering and source separation of InSight mission seismic data’, IEEE Trans. on Geoscience and Remote Sensing (2025) in print, with A. Siahkoohi, R. Morel, R. Balestriero, E. Allys, G. Sainton and T. Kawamura View
- ‘Probabilistic foundation model for clustering multi-station data via variational latent encoding’, (2025) with C. Allen, A. Siahkoohi, E. Chaves and I. Dokmanić, not available yet
Probabilistic graphical models and clustering in relational domains, graph embeddings in mildly singular manifolds
- not available yet
Times series, forecasting
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‘Recurrent scattering network detects metastable behavior in polyphonic seismo-volcanic signals for volcano eruption forecasting’, IEEE Trans. Geosc. and Remote Sensing 60 (2021) doi:10.1109/TGRS.2021.3134198, with A. Bueno, R. Balestriero, S. De Angelis, C. Benítez, L. Zuccarello, R. Baraniuk, J.M. Ibáñez. View
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‘Attention network forecasts time-to-failure in laboratory shear experiments’, (2021) doi:10.1029/2021JB022195, with H. Jasperson, D. C. Bolton, P. Johnson, R. Guyer, C. Marone. View
Foundation models
- ‘SeisLM: A foundation model for seismic data’, (2024), with C. Shi, G. Poggiali, C. Marone and I. Dokmanić. View
- ‘Earth’s hidden syntax: Seismic language model for tremor identification’, (2025), not available yet.
Jump-diffusion SDEs, event-based sampling, learning fault-system dynamics, relational inference
- ‘High-rate phase association with travel time neural fields’, (2024), with T. Liu, J. Münchmeyer, L. Laurenti, C. Marone and I. Dokmanić. View
- ‘Hierarchical jump diffusion processes with RSF through the lens of state-space models with mixed noise statistics’, (2026), not available yet
- ‘Recovering jump diffusion processes on graphs from single sample paths’, (2025), not available yet
Addendum
- ‘Implicit neural representations and the algebra of complex wavelets’, ICLR (2024), with T.M. Roddenberry, V. Saragadam and R.G. Baraniuk. View
