Tagged articles

posterior sampling

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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 11, 2026 · Artificial Intelligence

Bengio Team’s ERRLESS Boosts Symbolic Regression with 10× Faster Posterior Sampling

The paper introduces ERRLESS, a Bayesian symbolic regression framework that reformulates posterior sampling as a maximum‑entropy reinforcement‑learning problem, achieving ten‑fold speedups, robust noise handling, and state‑of‑the‑art performance on Feynman and Blackbox benchmarks.

AI researchGFlowNetbayesian inference
0 likes · 10 min read
Bengio Team’s ERRLESS Boosts Symbolic Regression with 10× Faster Posterior Sampling
vivo Internet Technology
vivo Internet Technology
Jul 1, 2026 · Artificial Intelligence

LearnIR: Posterior Sampling for Image Restoration – Face Shadow Removal & Dehazing (ICLR 2026)

LearnIR tackles real‑world image restoration under heterogeneous degradations by training a lightweight network to predict gradient‑correction distributions for diffusion posterior sampling without a forward operator, and adds a dynamic‑resolution module that further suppresses noise, achieving state‑of‑the‑art PSNR, SSIM and LPIPS on multiple benchmarks.

LearnIRdehazingdiffusion models
0 likes · 10 min read
LearnIR: Posterior Sampling for Image Restoration – Face Shadow Removal & Dehazing (ICLR 2026)