Milan Papez

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Transfer Learning

Parameter Estimation

Top Venues

Publications

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. ICLR (2024)
Milan Papez, Anthony Quinn
Transferring model structure in Bayesian transfer learning for Gaussian process regression. Knowl. Based Syst. 251 (2022)
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)
Milan Papez, Anthony Quinn
Transferring model structure in Bayesian transfer learning for Gaussian process regression. CoRR (2021)
Milan Papez, Tomás Pevný, Václav Smídl
Fitting large mixture models using stochastic component selection. CoRR (2021)
Milan Papez, Anthony Quinn
filters. Signal Process. 175 (2020)
Milan Papez, Anthony Quinn
Robust Bayesian Transfer Learning Between Kalman Filters. MLSP (2019)
Milan Papez, Anthony Quinn
Bayesian transfer learning between Gaussian process regression tasks. ISSPIT (2019)
Milan Papez, Anthony Quinn
Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters. MLSP (2018)
Milan Papez
A Projection-Based Rao-Blackwellized Particle Filter to Estimate Parameters in Conditionally Conjugate State-Space Models. SSP (2018)
Milan Papez
Rao-Blackwellized Particle Gibbs Kernels for Smoothing in Jump Markov Nonlinear Models. ECC (2018)
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)
Milan Papez
Sequential Monte Carlo estimation of transition probabilities in mixture filtering problems. FUSION (2016)
Jakub Dokoupil, Milan Papez, Pavel Vaclavek
Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution. CDC (2015)
Milan Papez
On Bayesian decision-making and approximation of probability densities. TSP (2015)
Milan Papez, Petr Pivonka
Numerical Aspects of Inertial Navigation. PDeS (2013)