Chris U. Carmona
Cited by
Cited by
Neural Contextual Anomaly Detection for Time Series
C Carmona, FX Aubet, V Flunkert, J Gasthaus
International Joint Conference on Artificial Intelligence, IJCAI-22, 2021
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
CU Carmona, GK Nicholls
International Conference on Artificial Intelligence and Statistics, AISTATS …, 2020
Interconnectedness and financial stability
S Martinez-Jaramillo, CU Carmona, DY Kenett
Journal of Risk Management in Financial Institutions 12 (2), 168-183, 2019
Model-based approach for household clustering with mixed scale variables
C Carmona, LE Nieto-Barajas, A Canale
Advances in Data Analysis and Classification 13 (2), 559-583, 2019
Multiplex financial networks: Revealing the level of interconnectedness in the banking system
A de la Concha, S Martinez-Jaramillo, C Carmona
International Conference on Complex Networks and their Applications, 2017 …, 2018
Valid belief updates for prequentially additive loss functions arising in semi-modular inference
GK Nicholls, JE Lee, CH Wu, CU Carmona
arXiv preprint arXiv:2201.09706, 2022
Urban form and scale shaped the agroecology of early ‘cities’ in northern Mesopotamia, the Aegean and Central Europe
AK Styring, CU Carmona, V Isaakidou, A Karathanou, GK Nicholls, ...
Journal of Agrarian Change 22 (4), 831-854, 2022
Scalable Semi-Modular Inference with Variational Meta-Posteriors
CU Carmona, GK NIcholls
arXiv preprint arXiv:2204.00296, 2022
Learning of Weighted Multi-layer Networks via Dynamic Social Spaces, with Application to Financial Interbank Transactions
C Carmona, MJ Serafin
International Conference on Complex Networks and Their Applications, 2019, 2020
Neural Contrastive Anomaly Detection
CU Carmona Perez, FXBM Aubet, V Flunkert, J Gasthaus
US Patent 11,636,125, 2023
Data Study Group Network Final Report: Rothamsted Research
T Breure, CU Carmona, S Ellisck, B Evans, A Fahmi, SM Haefele, ..., 2020
BNPMIXcluster: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables
CU Carmona, LE Nieto-Barajas, 2017
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