Professor of Data Science and MSc Data Science Programme Director Zoltan Szabo is a Professor of Data Science at the Department of Statistics, LSE. Zoltan's research interest is statistical machine ...

Official PyTorch implementation of the paper Training Neural Samplers with Reverse Diffusive KL Divergence, published at AISTATS 2025. In this paper, we introduce Diffusive KL Divergence (DiKL), a ...

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Time Intervals There was an error ...

Source Domain,Target Domain,Domain Adaptation,EEG Signals,Convolutional Neural Network,Self-supervised Learning,Deep Learning,Deep Neural Network,Domain-invariant Features,Learning Algorithms,Neural ...

Noise contrastive learning is a popular technique for unsupervised representation learning. In this approach, a representation is obtained via reduction to supervised learning, where given a notion of ...