Machine Learning

25 Graph Neural Networks: Theoretical Motivations

#Graph #Graph Neural Networks #Neural Networks #Machine Learning

Theoretical motivations of GNN

26 Graph Neural Networks: Theoretical Motivations (Part 2)

#Graph #Graph Neural Networks #Neural Networks #Machine Learning

Theoretical motivations of GNN

27 Graph Convolutional Matrix Completion

#Graph #Machine Learning #Neural Networks #Graph Neural Networks #Matrix Completion

Graph Convolutional Matrix Completion

28 Multivariate Time-series Forecasting Using GNN

#Graph #Machine Learning #Neural Networks #Graph Neural Networks #Matrix Completion

Multivariate Time-series Forecasting

29 Hamilton WL. Graph Representation Learning. Chapter 8

#Time series #Machine Learning #Bayesian

Traditional GraphGeneration Approaches

30 Hamilton WL. Graph Representation Learning. Chapter 8 (2)

#Time series #Machine Learning #Bayesian

Traditional GraphGeneration Approaches

31 Uncertainty in Deep Learning

#Machine Learning #Bayesian #Uncertainty

Topic: uncertainty in deep learning References: Gawlikowski, J. et al. A Survey of Uncertainty in …

32 Causal Inference

#Machine Learning #Time Series #Counterfactual

Alexa will lead a discussion on causal inference. Use the following timezone tool or click on the …

32 Counterfactual Explanation in Multivariate Time Series

#Machine Learning #Time Series #Counterfactual

Ates E, Aksar B, Leung VJ, Coskun AK. Counterfactual Explanations for Machine Learning on …

32 Review of Time Series Forecasting

#Machine Learning #Time Series

Lim B, Zohren S. Time Series Forecasting With Deep Learning: A Survey. arXiv [stat.ML]. 2020. …

32 Conformal Time Series Forecasting

#Machine Learning #Time Series

We start our new journey on time series by sharing and discussing two review papers: Lim B, Zohren …

36 Evaluating time series forecasting models

#Time series #Machine Learning #Bayesian

Our topic for this session is Cerqueira V, Torgo L, Mozetic I. Evaluating time series forecasting …