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Tsiry Mayet

2 accepted papers

2025

TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning

ICLR 2025poster

Diffusion models have emerged as highly effective techniques for inpainting, however, they remain constrained by slow sampling rates. While recent advances have enhanced generation quality, they have also increased sampling time, thereby limiting scalability in real-world applications. We investigat…

Cited by 0SourcePDFScholar
2021

SkipW: Resource Adaptable RNN with Strict Upper Computational Limit

ICLR 2021poster

We introduce Skip-Window, a method to allow recurrent neural networks (RNNs) to trade off accuracy for computational cost during the analysis of a sequence. Similarly to existing approaches, Skip-Window extends existing RNN cells by adding a mechanism to encourage the model to process fewer inputs.…

Cited by 3SourcePDFScholar