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Author

Pablo Lemos

2 papers indexed here

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PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

PQMass provides a statistically rigorous method for assessing the performance of a single generative model or the comparison of multiple competing models and scales well to moderately high-dimensional data and thus obviates the need for feature extraction in practical applications.

Pablo Lemos, S. Sharief, Esmeralda S. Whitammer et al. · 10 citations

Improved off-policy training of diffusion samplers

This work benchmarks several diffusion-structured inference methods, including simulation-based variational approaches and off-policy methods (continuous generative flow networks), and proposes a novel exploration strategy for off-policy methods, based on local search in the target space with the use of a replay buffer.

Marcin Sendera, Minsu Kim, Sarthak Mittal et al. · 52 citations · ⚡7

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