AI RESEARCH
Neural Bridge Processes
arXiv CS.LG
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ArXi:2508.07220v2 Announce Type: replace Learning stochastic functions from partially observed context-target pairs requires models that are expressive, uncertainty-aware, and strongly conditioned on inputs. Neural Diffusion Processes (NDPs) improve expressivity with denoising diffusion, but their forward process is input-independent; inputs only enter the reverse denoiser, so the noisy