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CoPriNet
CoPriNet can predict compound prices after being trained on 6M pairs of compounds and prices collected from the Mcule catalogue.
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Quantitative interpretation explains machine learning models for chemical reaction prediction and uncovers bias
Abstract: Organic synthesis remains a major challenge in drug discovery. Although a plethora of machine learning models have been proposed as solutions in the literature, they suffer from being opaque black-boxes. It is neither...
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Sampling the Variational Posterior with Local Refinement.
Variational inference is an optimization-based method for approximating the posterior distribution of the parameters in Bayesian probabilistic models. A key challenge of variational inference is to approximate the posterior with...
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Quantitative interpretation explains machine learning models for chemical reaction prediction and uncovers bias.
Organic synthesis remains a major challenge in drug discovery. Although a plethora of machine learning models have been proposed as solutions in the literature, they suffer from being opaque black-boxes. It is neither clear if...
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Psycho-social factors associated with mental resilience in the Corona lockdown.
The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their...
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