Tag: adjoint
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Discrete Adjoint Matching
Discrete Adjoint Matching arXiv:2602.07132v1 Announce Type: new Abstract: Computation methods for solving entropy-regularized reward optimization — a class of problems widely used for fine-tuning generative models — have advanced rapidly. Among those, Adjoint Matching (AM, Domingo-Enrich et al., 2025) has proven highly effective in continuous state spaces with differentiable rewards. Transferring these practical successes to…
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Adjoint Schr”odinger Bridge Sampler
Adjoint Schr”odinger Bridge Sampler arXiv:2506.22565v1 Announce Type: new Abstract: Computational methods for learning to sample from the Boltzmann distribution — where the target distribution is known only up to an unnormalized energy function — have advanced significantly recently. Due to the lack of explicit target samples, however, prior diffusion-based methods, known as diffusion samplers, often…