39 citations · 40 across the 10 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2026
From Shallow Bayesian Neural Networks to Gaussian Processes: General Convergence, Identifiability and Scalable Inference
Gracielle Antunes de Araújo, Flávio B. Gonçalves
In this work, we study scaling limits of shallow Bayesian neural networks (BNNs) via their connection to Gaussian processes (GPs), with an emphasis on statistical modeling, identif…
stat.ML2025
A Reverse-BSDE Diffusion Sampler
Jairon H. N. Batista, Flávio B. Gonçalves, Yuri F. Saporito +1
Diffusion-based generative models have renewed interest in stochastic differential equation methods for sampling from complex distributions. We study a setting in which the target…