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  1. 25 Οκτ 2021 · Inspired by generative pre-training (GPT) models that have been shown to be successful in generating meaningful text, we train a transformer-decoder on the next token prediction task using masked self-attention for the generation of druglike molecules in this study.

  2. 19 Αυγ 2023 · To the authors’ best knowledge, it is the first attempt to generate ambigrams automatically. We propose a new diffusion model for generating ambigrams in various styles without any real ambigram examples. We also propose “ambigramability” to measure the easiness of ambigram generation of each class pair objectively and automatically.

  3. Inversions are structural mutations that reverse the sequence of a chromosome segment and reduce the effective rate of recombination in the heterozygous state. They play a major role in adaptation, as well as in other evolutionary processes such as speciation.

  4. 19 Αυγ 2023 · Quantitative and qualitative analyses of experimental results show that the proposed model can generate high-quality and diverse ambigrams. In addition, we define ambigramability, an objective...

  5. 28 Σεπ 2010 · With pericentric inversions, a single crossover event that occurs between the breakpoints of a heterozygote produces unbalanced gametes that carry deletions, insertions, and either zero or two centromeres. This can reduce fertility, making the inversions underdominant (lowered heterozygote fitness).

  6. – To the authors’ best knowledge, it is the first attempt to generate ambigrams automatically. – We propose a new diffusion model for generating ambigrams in various styles without any real ambigram examples. – We also propose “ambigramability” to measure the easiness of ambigram generation of each class pair objectively and ...

  7. 21 Ιουν 2023 · Quantitative and qualitative analyses of experimental results show that the proposed model can generate high-quality and diverse ambigrams. In addition, we define ambigramability, an objective measure of how easy it is to generate ambigrams for each letter pair.

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