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cs.LG2026
Trajectory inference via Acceleration Matching
Bartolo Dazzini, Giovanni Conforti, Alain Durmus +1
Trajectory inference is a fundamental problem in many scientific domains: given a collection of unpaired snapshots of observations at discrete time points, the goal is to generate…
cs.LG2026
Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions
Le-Tuyet-Nhi Pham, Giovanni Conforti, Zhenjie Ren +1
Flow Matching has recently emerged as a popular class of generative models for simulating a target distribution from samples drawn from a source distribution . This fram…