Biological models are experimental systems that recreate aspects of human tissue function or disease. For example, certain tumour cell lines may serve as cancer models, and transgenic mice that ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

Abstract: Discriminating out-of-distribution (OOD) input is critical for safely deploying deep learning models in reality. A primary challenge in OOD detection is that the model produces abnormally ...

Abstract: It is not uncommon that real-world data are distributed with a long tail. For such data, the learning of deep neural networks becomes challenging because it is hard to classify tail classes ...

We introduce MOMENT, a family of open-source foundation models for general-purpose time-series analysis. Pre-training large models on time-series data is challenging due to (1) the absence a large and ...