Carles Domingo-Enrich

Researcher, Microsoft

2 papers at NeurIPS 2025

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Poster Session 6

Friday, December 5, 2025 · 4:30 PM → 7:30 PM

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference

#502 Spotlight · Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo-Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann

We develop trust region methods for stochastic optimal control to improve sampling from unnormalized densities, transition path sampling, and diffusion model finetuning.

Value Gradient Guidance for Flow Matching Alignment

#4906 · Zhen Liu, Tim Z. Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang

We propose a value gradient matching formulation for reward finetuning/alignment for flow matching models with the theory of optimal control, and empirically verify our method on the popular text-to-image flow matching model StableDiffusion3