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Journal Articles
- 2023
[j2]Benjamin Cox
, Víctor Elvira:
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models. IEEE Trans. Signal Process. 71: 1922-1937 (2023)- 2021
- [j1]Patrick Hall, Benjamin Cox, Steven Dickerson, Arjun Ravi Kannan, Raghu Kulkarni, Nicholas Schmidt:
A United States Fair Lending Perspective on Machine Learning. Frontiers Artif. Intell. 4: 695301 (2021)
Conference and Workshop Papers
- 2024
- [c6]Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira:
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP 2024: 9701-9705 - 2023
- [c5]Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra:
State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC 2023: 1372-1376 - 2022
- [c4]Benjamin Cox, Víctor Elvira:
Parameter Estimation in Sparse Linear-Gaussian State-Space Models via Reversible Jump Markov Chain Monte Carlo. EUSIPCO 2022: 797-801 - 2008
- [c3]Anh Nguyen-Tuong, David Evans, John C. Knight, Benjamin Cox, Jack W. Davidson:
Security through redundant data diversity. DSN 2008: 187-196 - 2006
- [c2]Benjamin Cox, David Evans:
N-Variant Systems: A Secretless Framework for Security through Diversity. USENIX Security Symposium 2006 - 1995
- [c1]Benjamin Cox:
NetBill Security and Transaction Protocol. USENIX Workshop on Electronic Commerce 1995
Coauthor Index
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