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20122024
most citedDuctile-to-brittle transition and yielding in soft amorphous materials: perspectives and open questions

45 citations · 129 across the 12 of their papers we have counts for

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Showing 2023 · cs.LGShow all

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cs.LG2023★ 1 cited

Explaining the effects of non-convergent sampling in the training of Energy-Based Models

Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle +1

In this paper, we quantify the impact of using non-convergent Markov chains to train Energy-Based models (EBMs). In particular, we show analytically that EBMs trained with non-pers…