To apply federated learning to drug discovery we developed a novel platf...
SparseChem provides fast and accurate machine learning models for bioche...
To be able to predict a molecular graph structure (W) given a 2D image o...
Bayesian regression remains a simple but effective tool based on Bayesia...
In drug discovery, knowledge of the graph structure of chemical compound...
In machine learning, chemical molecules are often represented by sparse
...
Modeling real-world multidimensional time series can be particularly
cha...
We present a generative approach to classify scarcely observed longitudi...
Solving linear systems is often the computational bottleneck in real-lif...
High-dimensional data requires scalable algorithms. We propose and analy...
The understanding of the type of inhibitory interaction plays an importa...
We propose Macau, a powerful and flexible Bayesian factorization method ...