Milan Papez

22 papers A* 1A 1C 1Journal 9Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Distillation of a tractable model from the VQ-VAE.
CoRR
Armin Hadzic, Milan Papez, Tomás Pevný
2025 A conf
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs.
UAI
Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2025 J jnl
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs.
CoRR
Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2025 J jnl
Sparse Probabilistic Graph Circuits.
CoRR
Martin Rektoris, Milan Papez, Václav Smídl, Tomás Pevný
2024 J jnl
GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings.
CoRR
Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2024 A* conf
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs.
ICLR
Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2024 J jnl
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs.
CoRR
Milan Papez, Martin Rektoris, Tomás Pevný, Václav Smídl
2022 J jnl
Transferring model structure in Bayesian transfer learning for Gaussian process regression.
Knowl. Based Syst.
Milan Papez, Anthony Quinn
2021 J jnl
Fitting large mixture models using stochastic component selection.
CoRR
Milan Papez, Tomás Pevný, Václav Smídl
2021 — conf
Parameter Estimation for a Jump Diffusion Model of Type 2 Diabetic Patients in the Presence of Unannounced Meals.
CCTA
Mohamad Al Ahdab, Milan Papez, Torben Knudsen, Tinna Björk Aradóttir, Signe Schmidt, Kirsten Nørgaard, John Leth
2021 J jnl
Transferring model structure in Bayesian transfer learning for Gaussian process regression.
CoRR
Milan Papez, Anthony Quinn
2020 J jnl
Bayesian transfer learning between Student-
Signal Process.
Milan Papez, Anthony Quinn
2019 — conf
Bayesian transfer learning between Gaussian process regression tasks.
ISSPIT
Milan Papez, Anthony Quinn
2019 — conf
Robust Bayesian Transfer Learning Between Kalman Filters.
MLSP
Milan Papez, Anthony Quinn
2018 — conf
A Projection-Based Rao-Blackwellized Particle Filter to Estimate Parameters in Conditionally Conjugate State-Space Models.
SSP
Milan Papez
2018 — conf
Dynamic Bayesian Knowledge Transfer Between a Pair of Kalman Filters.
MLSP
Milan Papez, Anthony Quinn
2018 — conf
Rao-Blackwellized Particle Gibbs Kernels for Smoothing in Jump Markov Nonlinear Models.
ECC
Milan Papez
2016 — conf
A Rao-Blackwellized particle filter to estimate the time-varying noise parameters in non-linear state-space models using alternative stabilized forgetting.
ISSPIT
Milan Papez
2016 C conf
Sequential Monte Carlo estimation of transition probabilities in mixture filtering problems.
FUSION
Milan Papez
2015 — conf
Comparison of Kalman filters formulated as the statistics of the Normal-inverse-Wishart distribution.
CDC
Jakub Dokoupil, Milan Papez, Pavel Vaclavek
2015 — conf
On Bayesian decision-making and approximation of probability densities.
TSP
Milan Papez
2013 — conf
Numerical Aspects of Inertial Navigation.
PDeS
Milan Papez, Petr Pivonka