Viktor Nilsson

Reflected Schrödinger Bridge Matching

Marcus Häggbom, Viktor Nilsson, Pierre Nyquist, Joakim andén

Recent advances in generative modeling have enabled the efficient computation of Schrödinger bridges (SB) in high-dimensional settings by leveraging partially simulation-free training methods inspired by flow matching. However, these have not covered SBs with reflecting dynamics,…Read more