generative flow networks

On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling

root February 8, 2024 0

The article studies the problem of training diffusion models to sample from a distribution with a given unnormalized density or energy function. It benchmarks several diffusion-structured inference methods, including simulation-based…

Computation and Language Machine Learning

Amortizing intractable inference in large language models

root October 9, 2023 0

This research paper discusses the limitations of autoregressive large language models (LLMs) in compressing knowledge from training data. The authors propose a solution by using amortized Bayesian inference to sample…

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generative flow networks

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