Matthew J. Vowels

31 papers A* 3A 1B 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling. CoRR Bucher Sahyouni, Matthew J. Vowels, Liqun Chen, Simon Hadfield
2026	J	`jnl`	Multimodal Enhancement of Sequential Recommendation. CoRR Bucher Sahyouni, Matthew J. Vowels, Liqun Chen, Simon Hadfield
2026	J	`jnl`	Sequences as Nodes for Contrastive Multimodal Graph Recommendation. CoRR Bucher Sahyouni, Matthew J. Vowels, Liqun Chen, Simon Hadfield
2025	J	`jnl`	Differential Adjusted Parity for Learning Fair Representations. CoRR Bucher Sahyouni, Matthew J. Vowels, Liqun Chen, Simon Hadfield
2025	J	`jnl`	Evaluating the efficacy of Amanda: A voice-based large language model chatbot for relationship challenges. Comput. Hum. Behav. Artif. Humans Laura M. Vowels, Shannon K. Sweeney, Matthew J. Vowels
2025	J	`jnl`	Navigating relationships with GenAI chatbots: User attitudes, acceptability, and potential. Comput. Hum. Behav. Artif. Humans Laura M. Vowels, Rachel R. R. Francois-Walcott, Maëlle Grandjean, Joëlle Darwiche, Matthew J. Vowels
2024	J	`jnl`	CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions. CoRR Matthew J. Vowels, Mathieu Rochat, Sina Akbari
2024	J	`jnl`	Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. Meike Ramon, Matthew J. Vowels, Matthew Groh
2024	—	`conf`	Modelling the Distribution of Human Motion for Sign Language Assessment. ECCV Workshops (12) Oliver Cory, Ozge Mercanoglu Sincan, Matthew J. Vowels, Alessia Battisti, Franz Holzknecht, Katja Tissi, Sandra Sidler-Miserez, Tobias Haug, Sarah Ebling, Richard Bowden
2024	J	`jnl`	Modelling the Distribution of Human Motion for Sign Language Assessment. CoRR Oliver Cory, Ozge Mercanoglu Sincan, Matthew J. Vowels, Alessia Battisti, Franz Holzknecht, Katja Tissi, Sandra Sidler-Miserez, Tobias Haug, Sarah Ebling, Richard Bowden
2024	J	`jnl`	psifx - Psychological and Social Interactions Feature Extraction Package. CoRR Guillaume Rochette, Matthew J. Vowels
2023	A*	`conf`	Causal Effect Identification in Uncertain Causal Networks. NeurIPS Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
2023	J	`jnl`	D'ya Like DAGs? A Survey on Structure Learning and Causal Discovery. ACM Comput. Surv. Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2023	J	`jnl`	SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling. CoRR Matthew J. Vowels
2022	J	`jnl`	A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics. CoRR Matthew J. Vowels, Sina Akbari, Jalal Etesami, Necati Cihan Camgöz, Richard Bowden
2022	J	`jnl`	Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash
2022	J	`jnl`	Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables. CoRR Matthew J. Vowels
2021	—	`conf`	BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions. ICMI Companion Jacopo Biggiogera, George Boateng, Peter Hilpert, Matthew J. Vowels, Guy Bodenmann, Mona Neysari, Fridtjof Nussbeck, Tobias Kowatsch
2021	J	`jnl`	BERT meets LIWC: Exploring State-of-the-Art Language Models for Predicting Communication Behavior in Couples' Conflict Interactions. CoRR Jacopo Biggiogera, George Boateng, Peter Hilpert, Matthew J. Vowels, Guy Bodenmann, Mona Neysari, Fridtjof Nussbeck, Tobias Kowatsch
2021	J	`jnl`	D'ya like DAGs? A Survey on Structure Learning and Causal Discovery. CoRR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2021	A	`conf`	Improving Robot Localisation by Ignoring Visual Distraction. IROS Oscar Mendez, Matthew J. Vowels, Richard Bowden
2021	J	`jnl`	Improving Robot Localisation by Ignoring Visual Distraction. CoRR Oscar Mendez, Matthew J. Vowels, Richard Bowden
2021	—	`conf`	Shadow-Mapping for Unsupervised Neural Causal Discovery. CVPR Workshops Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2021	J	`jnl`	Shadow-Mapping for Unsupervised Neural Causal Discovery. CoRR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2021	—	`conf`	Targeted VAE: Variational and Targeted Learning for Causal Inference. SMDS Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2021	A*	`conf`	VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts. CVPR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2021	J	`jnl`	VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts. CoRR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2020	B	`conf`	Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. FG Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2020	A*	`conf`	NestedVAE: Isolating Common Factors via Weak Supervision. CVPR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2020	J	`jnl`	NestedVAE: Isolating Common Factors via Weak Supervision. CoRR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden
2019	J	`jnl`	Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. CoRR Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden