3 papers
cs.LG2026
One-Step Generative Surrogate Models via Block-Triangular Joint Drifting
Nicholas Geissler, Shreya Jha, Ricardo Baptista +1
Drifting provides a direct route to one-step generative models, but applying it directly to stochastic transition modeling requires multiple samples of the next state conditioned o…
cs.LG2026
First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems
Shreya Jha, Timo Schorlepp, Nicholas Geissler +2
We introduce First-Order Trajectory Matching (FTM), a surrogate-modeling method that learns the first-order local transport of probability mass from trajectories of stochastic syst…
astro-ph.HE2026
Hankel low-rank matrix approximation for gravitational-wave data analysis
Nicholas Geissler, Vladimir Strokov, Christian Kümmerle +2
Next-generation gravitational-wave (GW) detectors, such as the Laser Interferometer Space Antenna (LISA), will observe vast numbers of overlapping signals. Disentangling these sign…