2 papers
cs.CV2026
Contrastive Learning for Seismic Horizon Tracking with Domain-Specific Priors
Alexandre Thouvenot, Lionel Boillot, Vincent Gripon
Unsupervised 3D seismic horizon tracking faces a key limitation: signal-based propagators provide accurate trace-level alignment but often fail near faults, whereas texture-driven…
cs.LG2026
Random Process Flow Matching: Generative Implicit Representations of Multivariate Random Fields
Julien Lalanne, David Picard, Lionel Boillot +3
Generative modeling provides a powerful framework for learning data distributions. These models initially relied on probabilistic methods such as Gaussian Processes (GP) for uncert…