The University of Tübingen, founded in 1477, is a public research university in Tübingen, Germany, renowned for its excellence in plant biology, medicine, law, the humanities, and artificial intelligence. Associated with eleven Nobel laureates, it has a history of innovative thought and was the first German university to establish a faculty of natural sciences. NEC Labs America and the University of Tubingen explore vision-language modeling and efficient semantic segmentation for robotics and AR navigation. Please read about our latest news and collaborative publications with the University of Tubingen.

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Attentive Variational Information Bottleneck for TCR–peptide interaction prediction

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We present a multi-sequence generalization of Variational Information Bottleneck and call the resulting model Attentive Variational Information Bottleneck (AVIB). Our AVIB model leverages multi-head self-attention to implicitly approximate a posterior distribution over latent encodings conditioned on multiple input sequences. We apply AVIB to a fundamental immuno-oncology problem: predicting the interactions between T-cell receptors (TCRs) and peptides.ResultsExperimental results on various datasets show that AVIB significantly outperforms state-of-the-art methods for TCR–peptide interaction prediction. Additionally, we show that the latent posterior distribution learned by AVIB is particularly effective for the unsupervised detection of out-of-distribution amino acid sequences.

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