3 papers
cs.LG2026
Reflected Schrödinger Bridge Matching
Marcus Häggbom, Viktor Nilsson, Pierre Nyquist +1
Recent advances in generative modeling have enabled the efficient computation of Schrödinger bridges (SB) in high-dimensional settings by leveraging partially simulation-free trai…
physics.flu-dyn2025
A boostlet transform for wave-based acoustic signal processing in space-time
Elias Zea, Marco Laudato, Joakim Andén
Sparse representation systems that encode signal architecture have had a profound impact on sampling and compression paradigms. Remarkable examples are multi-scale directional syst…
stat.ML2024
Mean-Field Microcanonical Gradient Descent
Marcus Häggbom, Morten Karlsmark, Joakim Andén
Microcanonical gradient descent is a sampling procedure for energy-based models allowing for efficient sampling of distributions in high dimension. It works by transporting samples…