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’ (2023), with A. Siahkoohi, R. Morel, R. Balestriero, E. Allys, G. Sainton and T. Kawamura. View
- ‘Clustering multi-receiver data through a variational autoencoder in SeisLM’, (2025) with C. Allen, A. Siahkoohi, E. Chaves and I. Dokmanić, not available yet
- ‘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
Probabilistic graphical models and clustering in relational domains, graph embeddings in mildly singular manifolds
- not available yet
Foundation models
- ‘SeisLM: A foundation model for seismic data’, (2024), with T. Liu, J. Münchmeyer, L. Laurenti, C. Marone and I. Dokmanić. View
Jump-diffusion SDEs, event-based sampling, learning fault-system dynamics, relational inference
- ‘Analysis of jump-diffusion SDEs on graphs rooted in the linked stress release model, inference and forecasting’, (2025), not available yet
- ‘Learning jump-diffusion SDEs on graphs from sample paths’, (2025), not available yet
- ‘SeisLM adaptation in jump-diffusion SDEs for learning fault dynamics’, 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
