Matthew J. Vowels

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Causal Discovery

Machine Learning

Conditional Independence

Directed Acyclic Graph

Top Venues

ACM Comput. Surv.

Publications

Meike Ramon, Matthew J. Vowels, Matthew Groh
Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. 22 (3) (2024)
Guillaume Rochette, Matthew J. Vowels
psifx - Psychological and Social Interactions Feature Extraction Package. CoRR (2024)
Matthew J. Vowels
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling. CoRR (2023)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Effect Identification in Uncertain Causal Networks. NeurIPS (2023)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
D'ya Like DAGs? A Survey on Structure Learning and Causal Discovery. ACM Comput. Surv. 55 (4) (2023)
Matthew J. Vowels
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables. CoRR (2022)
Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR (2022)
Matthew J. Vowels, Sina Akbari, Jalal Etesami, Necati Cihan Camgöz, Richard Bowden
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics. CoRR (2022)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
Shadow-Mapping for Unsupervised Neural Causal Discovery. CVPR Workshops (2021)
Oscar Mendez Maldonado, Matthew J. Vowels, Richard Bowden
Improving Robot Localisation by Ignoring Visual Distraction. IROS (2021)
Jacopo Biggiogera, George Boateng, Peter Hilpert, Matthew J. Vowels, Guy Bodenmann, Mona Neysari, Fridtjof Nussbeck, Tobias Kowatsch
BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions. ICMI Companion (2021)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts. CoRR (2021)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts. CVPR (2021)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery. CoRR (2021)
Oscar Mendez Maldonado, Matthew J. Vowels, Richard Bowden
Improving Robot Localisation by Ignoring Visual Distraction. CoRR (2021)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
Shadow-Mapping for Unsupervised Neural Causal Discovery. CoRR (2021)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
Targeted VAE: Variational and Targeted Learning for Causal Inference. SMDS (2021)
Jacopo Biggiogera, George Boateng, Peter Hilpert, Matthew J. Vowels, Guy Bodenmann, Mona Neysari, Fridtjof Nussbeck, Tobias Kowatsch
BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions. CoRR (2021)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
NestedVAE: Isolating Common Factors via Weak Supervision. CVPR (2020)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. FG (2020)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
NestedVAE: Isolating Common Factors via Weak Supervision. CoRR (2020)
Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. CoRR (2019)