Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design. (arXiv:2205.13927v2 [cs.LG] UPDATED)

Our world is ambiguous and this is reflected in the data we use to train our
algorithms. This is particularly true when we try to model natural processes
where collected data is affected by noisy measurements and differences in
measurement techniques. Sometimes, the process itself is ambiguous, such as in
the case of RNA folding, where the same nucleotide sequence can fold into
different structures. This suggests that a predictive model should have similar
probabilistic characteristics to match the data …

arxiv design modelling rna transformer