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2020 – today
- 2024
[j3]Meike Ramon
, Matthew J. Vowels, Matthew Groh:
Deepfake Detection in Super-Recognizers and Police Officers. IEEE Secur. Priv. 22(3): 68-76 (2024)- [i13]Guillaume Rochette, Matthew J. Vowels:
psifx - Psychological and Social Interactions Feature Extraction Package. CoRR abs/2407.10266 (2024) - 2023
- [j2]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): 82:1-82:36 (2023) - [j1]Matthew James Vowels, Sina Akbari, Necati Cihan Camgöz, Richard Bowden:
A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash:
Causal Effect Identification in Uncertain Causal Networks. NeurIPS 2023 - [i12]Matthew J. Vowels:
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling. CoRR abs/2308.04365 (2023) - 2022
- [i11]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 abs/2202.09096 (2022) - [i10]Matthew J. Vowels:
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables. CoRR abs/2202.09875 (2022) - [i9]Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash:
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. CoRR abs/2208.04627 (2022) - 2021
- [c7]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Shadow-Mapping for Unsupervised Neural Causal Discovery. CVPR Workshops 2021: 1740-1743 - [c6]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts. CVPR 2021: 8176-8186 - [c5]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: 385-389 - [c4]Oscar Mendez Maldonado, Matthew J. Vowels, Richard Bowden:
Improving Robot Localisation by Ignoring Visual Distraction. IROS 2021: 3549-3554 - [c3]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Targeted VAE: Variational and Targeted Learning for Causal Inference. SMDS 2021: 132-141 - [i8]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery. CoRR abs/2103.02582 (2021) - [i7]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts. CoRR abs/2103.07292 (2021) - [i6]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Shadow-Mapping for Unsupervised Neural Causal Discovery. CoRR abs/2104.08183 (2021) - [i5]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 abs/2106.01536 (2021) - [i4]Oscar Mendez Maldonado, Matthew J. Vowels, Richard Bowden:
Improving Robot Localisation by Ignoring Visual Distraction. CoRR abs/2107.11857 (2021) - 2020
- [c2]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
NestedVAE: Isolating Common Factors via Weak Supervision. CVPR 2020: 9199-9209 - [c1]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. FG 2020: 125-132 - [i3]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
NestedVAE: Isolating Common Factors via Weak Supervision. CoRR abs/2002.11576 (2020) - [i2]Matthew James Vowels, Necati Cihan Camgöz, Richard Bowden:
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation. CoRR abs/2009.13472 (2020)
2010 – 2019
- 2019
- [i1]Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden:
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement. CoRR abs/1911.06443 (2019)
Coauthor Index
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