217 citations · 363 across the 26 of their papers we have counts for
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cs.LG2023
On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth
Edi Muškardin, Martin Tappler, Ingo Pill +2
We examine the assumption that the hidden-state vectors of recurrent neural networks (RNNs) tend to form clusters of semantically similar vectors, which we dub the clustering hypot…
cs.LG2023★ 1 cited
Learning Gradually Non-convex Image Priors Using Score Matching
Erich Kobler, Thomas Pock
In this paper, we propose a unified framework of denoising score-based models in the context of graduated non-convex energy minimization. We show that for sufficiently large noise…