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Found 6 papers, 3 papers with code
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views
The contrastive methods are popular choices for learning the representation of nodes in a graph.
Structured Q-learning For Antibody Design
Optimizing combinatorial structures is core to many real-world problems, such as those encountered in life sciences.
Adversarial robustness of VAEs through the lens of local geometry
We propose robustness evaluation scores using the eigenspectrum of a pullback metric tensor.
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation
software suite as a black-box oracle to score the target specificity and affinity of designed antibodies \textit{in silico} in an unconstrained fashion~\citep{robert2021one}.
Hamiltonian latent operators for content and motion disentanglement in image sequences
We introduce \textit{HALO} -- a deep generative model utilising HAmiltonian Latent Operators to reliably disentangle content and motion information in image sequences.
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
In this article, we proposed an efficient and accurate system to diagnosis heart disease and the system is based on machine learning techniques.
