Picture for Matthew J. Vowels

Matthew J. Vowels

CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions

Add code
Oct 21, 2024
Viaarxiv icon

psifx -- Psychological and Social Interactions Feature Extraction Package

Add code
Jul 16, 2024
Viaarxiv icon

SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling

Add code
Aug 11, 2023
Viaarxiv icon

Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect

Add code
Aug 13, 2022
Figure 1 for Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Figure 2 for Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Figure 3 for Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Figure 4 for Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Viaarxiv icon

A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists

Add code
Jun 15, 2022
Figure 1 for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
Figure 2 for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
Figure 3 for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
Figure 4 for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists
Viaarxiv icon

Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables

Add code
Feb 25, 2022
Figure 1 for Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Figure 2 for Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Figure 3 for Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Figure 4 for Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Viaarxiv icon

A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics

Add code
Feb 18, 2022
Figure 1 for A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Figure 2 for A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Figure 3 for A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Figure 4 for A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
Viaarxiv icon

Shadow-Mapping for Unsupervised Neural Causal Discovery

Add code
Apr 28, 2021
Figure 1 for Shadow-Mapping for Unsupervised Neural Causal Discovery
Figure 2 for Shadow-Mapping for Unsupervised Neural Causal Discovery
Figure 3 for Shadow-Mapping for Unsupervised Neural Causal Discovery
Figure 4 for Shadow-Mapping for Unsupervised Neural Causal Discovery
Viaarxiv icon

VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts

Add code
Mar 28, 2021
Figure 1 for VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Figure 2 for VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Figure 3 for VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Figure 4 for VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts
Viaarxiv icon

D'ya like DAGs? A Survey on Structure Learning and Causal Discovery

Add code
Mar 04, 2021
Figure 1 for D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Figure 2 for D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Figure 3 for D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Figure 4 for D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
Viaarxiv icon