Milos Manic

Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior.

2019 · arXiv (Cornell University)

Centuries of development in natural sciences and mathematical modeling provide valuable domain expert knowledge that has yet to be explored for the development of machine learning models. When modeling complex physical systems, both domain knowledge …

Self-Attention Bottleneck Network for Self-Supervised Anomaly Detection in CAN Data

2024

With the many advancements in automobile technology, there has been a sharp increase in the number of sensors and systems present in vehicles. This has enabled a rapid increase in the features and capabilities available …