1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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…
Stable Update of Regression Trees
Morten Blørstad, Berent Å. S. Lunde, Nello Blaser
Updating machine learning models with new information usually improves their predictive performance, yet, in many applications, it is also desirable to avoid changing the model pre…
Saddlepoint-adjusted inversion of characteristic functions
Berent Å. S. Lunde, Tore S. Kleppe, Hans J. Skaug
For certain types of statistical models, the characteristic function (Fourier transform) is available in closed form, whereas the probability density function has an intractable fo…