Ismail Senöz

According to our database, Ismail Senöz authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Gaussian Process Amplitude Demodulation By Message-Passing.

Hoang M. H. Nguyen, Ismail Senöz, Bert de Vries

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Efficient Bayesian Inference By Conjugate-Computation Variational Message Passing.

Mykola Lukashchuk, Ismail Senöz, Bert de Vries

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Probabilistic programming with stochastic variational message passing.

Semih Akbayrak, Ismail Senöz, Alp Sari, Bert de Vries

Int. J. Approx. Reason., 2022

Efficient Model Evidence Computation in Tree-structured Factor Graphs.

Hoang M. H. Nguyen, Bart van Erp, Ismail Senöz, Bert de Vries

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

Adaptive Importance Sampling Message Passing.

Semih Akbayrak, Ismail Senöz, Bert de Vries

Proceedings of the IEEE International Symposium on Information Theory, 2022

Message Passing-based Inference in Switching Autoregressive Models.

Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries

Proceedings of the 30th European Signal Processing Conference, 2022

Message Passing-based System Identification for NARMAX Models.

Albert Podusenko, Semih Akbayrak, Ismail Senöz, Maarten Schoukens, Wouter M. Kouw

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Chance-Constrained Active Inference.

Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch

Neural Comput., 2021

Variational Message Passing and Local Constraint Manipulation in Factor Graphs.

Ismail Senöz, Thijs van de Laar, Dmitry Bagaev, Bert de Vries

Entropy, 2021

Variational Log-Power Spectral Tracking for Acoustic Signals.

Bart van Erp, Ismail Senöz, Bert de Vries

Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Message Passing-Based Inference in the Gamma Mixture Model.

Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

The Switching Hierarchical Gaussian Filter.

Ismail Senöz, Albert Podusenko, Semih Akbayrak, Christoph Mathys, Bert de Vries

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Bayesian joint state and parameter tracking in autoregressive models.

Ismail Senöz, Albert Podusenko, Wouter M. Kouw, Bert de Vries

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Online Message Passing-based Inference in the Hierarchical Gaussian Filter.

Ismail Senöz, Bert de Vries

Proceedings of the IEEE International Symposium on Information Theory, 2020

2018

Online variational Message Passing in the Hierarchical Gaussian filter.

Ismail Senöz, Bert de Vries

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018