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

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

Kuaishou Tech

Aug 7, 2023 · Artificial Intelligence

GFN4Rec: Generative Flow Networks for Listwise Recommendation

This paper introduces GFN4Rec, a generative flow network approach for listwise recommendation that models the entire list generation as a probability flow, optimizing list-level reward to simultaneously improve recommendation accuracy and diversity, and validates its effectiveness on multiple datasets and simulators.

AIGFlowNetgenerative models

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GFN4Rec: Generative Flow Networks for Listwise Recommendation