Milan Papez

According to our database, Milan Papez authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings.

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný

CoRR, 2024

Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs.

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Transferring model structure in Bayesian transfer learning for Gaussian process regression.

Milan Papez, Anthony Quinn

Knowl. Based Syst., 2022

2021

Fitting large mixture models using stochastic component selection.

Milan Papez, Tomás Pevný, Václav Smídl

CoRR, 2021

Parameter Estimation for a Jump Diffusion Model of Type 2 Diabetic Patients in the Presence of Unannounced Meals.

Mohamad Al Ahdab, Milan Papez, Torben Knudsen, Tinna Björk Aradóttir, Signe Schmidt, Kirsten Nørgaard, John Leth

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2020

Bayesian transfer learning between Student-<i>t</i> filters.

Milan Papez, Anthony Quinn

Signal Process., 2020

2019

Robust Bayesian Transfer Learning Between Kalman Filters.

Milan Papez, Anthony Quinn

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Bayesian transfer learning between Gaussian process regression tasks.

Milan Papez, Anthony Quinn

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

2018

A Projection-Based Rao-Blackwellized Particle Filter to Estimate Parameters in Conditionally Conjugate State-Space Models.

Milan Papez

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters.

Milan Papez, Anthony Quinn

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

Rao-Blackwellized Particle Gibbs Kernels for Smoothing in Jump Markov Nonlinear Models.

Milan Papez

Proceedings of the 16th European Control Conference, 2018

2016

A Rao-Blackwellized particle filter to estimate the time-varying noise parameters in non-linear state-space models using alternative stabilized forgetting.

Milan Papez

Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

Sequential Monte Carlo estimation of transition probabilities in mixture filtering problems.

Milan Papez

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

On Bayesian decision-making and approximation of probability densities.

Milan Papez

Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015

Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution.

Jakub Dokoupil, Milan Papez, Pavel Vaclavek

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2013

Numerical Aspects of Inertial Navigation.

Milan Papez, Petr Pivonka

Proceedings of the 12th IFAC Conference on Programmable Devices and Embedded Systems, 2013