607 citations · 1.8k across the 12 of their papers we have counts for
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cs.LG2021
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
Ruslan Yermakov, Nicholas Drago, Angelo Ziletti
Data-to-text (D2T) generation in the biomedical domain is a promising - yet mostly unexplored - field of research. Here, we apply neural models for D2T generation to a real-world d…
cond-mat.mtrl-sci2021★ 1 cited
Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning
Andreas Leitherer, Angelo Ziletti, Luca M. Ghiringhelli
Due to their ability to recognize complex patterns, neural networks can drive a paradigm shift in the analysis of materials science data. Here, we introduce ARISE, a crystal-struct…