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2020 – today
- 2024
[c12]Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný:
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. ICLR 2024- [i4]Milan Papez, Martin Rektoris, Tomás Pevný, Václav Smídl:
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. CoRR abs/2408.07394 (2024) - [i3]Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný:
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings. CoRR abs/2408.09451 (2024) - 2022
- [j2]Milan Papez
, Anthony Quinn:
Transferring model structure in Bayesian transfer learning for Gaussian process regression. Knowl. Based Syst. 251: 108875 (2022) - 2021
- [c11]Mohamad Al Ahdab, Milan Papez, Torben Knudsen, Tinna Björk Aradóttir, Signe Schmidt, Kirsten Nørgaard, John Leth:
Parameter Estimation for a Jump Diffusion Model of Type 2 Diabetic Patients in the Presence of Unannounced Meals. CCTA 2021: 176-183 - [i2]Milan Papez, Anthony Quinn:
Transferring model structure in Bayesian transfer learning for Gaussian process regression. CoRR abs/2101.06884 (2021) - [i1]Milan Papez, Tomás Pevný, Václav Smídl:
Fitting large mixture models using stochastic component selection. CoRR abs/2110.04776 (2021) - 2020
- [j1]Milan Papez, Anthony Quinn:
Bayesian transfer learning between Student-t filters. Signal Process. 175: 107624 (2020)
2010 – 2019
- 2019
- [c10]Milan Papez, Anthony Quinn:
Bayesian transfer learning between Gaussian process regression tasks. ISSPIT 2019: 1-6 - [c9]Milan Papez, Anthony Quinn:
Robust Bayesian Transfer Learning Between Kalman Filters. MLSP 2019: 1-6 - 2018
- [c8]Milan Papez:
Rao-Blackwellized Particle Gibbs Kernels for Smoothing in Jump Markov Nonlinear Models. ECC 2018: 2466-2471 - [c7]Milan Papez, Anthony Quinn:
Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters. MLSP 2018: 1-6 - [c6]Milan Papez:
A Projection-Based Rao-Blackwellized Particle Filter to Estimate Parameters in Conditionally Conjugate State-Space Models. SSP 2018: 268-272 - 2016
- [c5]Milan Papez:
Sequential Monte Carlo estimation of transition probabilities in mixture filtering problems. FUSION 2016: 1063-1070 - [c4]Milan Papez:
A Rao-Blackwellized particle filter to estimate the time-varying noise parameters in non-linear state-space models using alternative stabilized forgetting. ISSPIT 2016: 229-234 - 2015
- [c3]Jakub Dokoupil, Milan Papez, Pavel Vaclavek:
Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution. CDC 2015: 5008-5013 - [c2]Milan Papez:
On Bayesian decision-making and approximation of probability densities. TSP 2015: 499-503 - 2013
- [c1]Milan Papez, Petr Pivonka:
Numerical Aspects of Inertial Navigation. PDeS 2013: 262-267
Coauthor Index
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