5 citations · 10 across the 4 of their papers we have counts for
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Similarity-Quantized Relative Difference Learning for Improved Molecular Activity Prediction
Karina Zadorozhny, Kangway V. Chuang, Bharath Sathappan +3
Accurate prediction of molecular activities is crucial for efficient drug discovery, yet remains challenging due to limited and noisy datasets. We introduce Similarity-Quantized Re…
Deep Denerative Models for Drug Design and Response
Karina Zadorozhny, Lada Nuzhna
Designing new chemical compounds with desired pharmaceutical properties is a challenging task and takes years of development and testing. Still, a majority of new drugs fail to pro…
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
Karina Zadorozhny, Patrick Thoral, Paul Elbers +1
Detection of Out-of-Distribution (OOD) samples in real time is a crucial safety check for deployment of machine learning models in the medical field. Despite a growing number of un…