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cs.LG2026
Learning the Structure of Triangular Transport Maps
Morten Blørstad, Pekka Parviainen, Berent Ånund Strømnes Lunde
Triangular transport maps provide a flexible approach to sampling-based probabilistic modeling, including density estimation, generative modeling, and Bayesian inference. They tran…
stat.CO2026
Adaptive Nonlinear Data Assimilation through P-Spline Triangular Measure Transport
Berent Å. S. Lunde, Maximilian Ramgraber
Non-Gaussian statistics are a challenge for data assimilation. Linear methods oversimplify the problem, yet fully nonlinear methods are often too expensive to use in practice. The…