Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data. - Václav Smídl; Miroslav Kárný; Martin Sámal; Werner Backfrieder; Zsolt Szabo (IPMI, 2001)

The variational EM algorithm for on-line identification of extended AR models [speech processing example]. - Václav Smídl; Anthony Quinn (ICASSP (4), 2005)

From Bayesian Decision-Makers to Bayesian Agents. - Václav Smídl; Jan Prikryl (SOAS, 2005)

Robust estimation of autoregressive processes using a mixture-based filter-bank. - Václav Smídl; Anthony Quinn; Miroslav Kárný; Tatiana V. Guy (Syst. Control. Lett., 2005)

Mixture-based extension of the AR model and its recursive Bayesian identification. - Václav Smídl; Anthony Quinn (IEEE Trans. Signal Process., 2005)

The Variational Bayes Approximation In Bayesian Filtering. - Václav Smídl; Anthony Quinn (ICASSP (3), 2006)

Accelerated Particle Filtering using the Variational Bayes Approximation. - Václav Smídl; Anthony Quinn (ICASSP (3), 2007)

On Bayesian principal component analysis. - Václav Smídl; Anthony Quinn (Comput. Stat. Data Anal., 2007)

Merging of multistep predictors for decentralized adaptive control. - Václav Smídl; Josef Andrýsek (ACC, 2008)

Merging of Advices from Multiple Advisory Systems - With Evaluation on Rolling Mill Data. - Pavel Ettler; Josef Andrýsek; Václav Smídl; Miroslav Kárný (ICINCO-ICSO, 2008)

Variational Bayesian Filtering. - Václav Smídl; Anthony Quinn (IEEE Trans. Signal Process., 2008)

Improvements of continuous model for memory-based automatic music transcription. - Stepan Albrecht; Václav Smídl (EUSIPCO, 2010)

Marginalized particle filters for Bayesian estimation of Gaussian noise parameters. - Saikat Saha; Emre Özkan; Fredrik Gustafsson; Václav Smídl (FUSION, 2010)

Software analysis unifying particle filtering and marginalized particle filtering. - Václav Smídl (FUSION, 2010)

Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems. - Denis N. Sidorov; Daniil A. Panasetsky; Václav Smídl (ISGT Europe, 2010)

Model for memory-based music transcription and its Variational Bayes solution. - Stepan Albrecht; Václav Smídl (EUSIPCO, 2011)

Non-parametric bayesian measurement noise density estimation in non-linear filtering. - Emre Özkan; Saikat Saha; Fredrik Gustafsson; Václav Smídl (ICASSP, 2011)

Navigation of UAVs for tracking of atmospheric release of radiation. - Václav Smídl; Radek Hofman (CDC, 2012)

Marginalized particle filter for sensorless control of PMSM drives. - Václav Smídl; Zdenek Peroutka (IECON, 2012)

Automatic regions of interest in factor analysis for dynamic medical imaging. - Václav Smídl; Ondrej Tichý (ISBI, 2012)

Bayesian estimation of forgetting factor in adaptive filtering and change detection. - Václav Smídl; Fredrik Gustafsson (SSP, 2012)

Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives. - Václav Smídl; Zdenek Peroutka (IEEE Trans. Ind. Electron., 2012)

Extended Rauch-Tung-Striebel controller. - Miroslav Zima; Leopoldo Armesto; Vicent Girbés; Antonio Sala 001; Václav Smídl (CDC, 2013)

Rao-Blackwellized point mass filter for reliable state estimation. - Václav Smídl; Matej Gasperin (FUSION, 2013)

Adaptive importance sampling in particle filtering. - Václav Smídl; Radek Hofman (FUSION, 2013)

Sensorless direct torque control of PMSM with reduced model Extended Kalman filter. - Tomas Glasberger; Vendula Muzikova; Zdenek Peroutka; Václav Smídl (IECON, 2013)

FPGA implementation of marginalized particle filter for sensorless control of PMSM drives. - Václav Smídl; Robert Nedved; Tomás Kosan; Zdenek Peroutka (IECON, 2013)

Kalman filters unifying model-based and HF injection-based sensorless control of PMSM drives. - Václav Smídl; David Vosmik; Zdenek Peroutka (IECON, 2013)

Resolver motivated sensorless rotor position estimation of wound rotor synchronous motors with Kalman filter. - David Uzel; Václav Smídl; Zdenek Peroutka (IECON, 2013)

Feed-forward guided generalized predictive control of PMSM drive. - Stepán Janous; Václav Smídl; Zdenek Peroutka (ISIE, 2013)

Sensorless PMSM control: Hybrid rotor position estimator using maximum likelihood model selection. - David Vosmik; Václav Smídl; Zdenek Peroutka (ISIE, 2013)

Sparsity in Bayesian Blind Source Separation and Deconvolution. - Václav Smídl; Ondrej Tichý (ECML/PKDD (2), 2013)

Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters. - Emre Özkan; Václav Smídl; Saikat Saha; Christian Lundquist; Fredrik Gustafsson (Autom., 2013)

Kinetic modeling of the dynamic PET brain data using blind source separation methods. - Ondrej Tichý; Václav Smídl (BMEI, 2014)

Understanding image priors in blind deconvolution. - Filip Sroubek; Václav Smídl; Jan Kotera (ICIP, 2014)

Start-stop system for a city bus based on model predictive control. - Radim Dudek; Václav Smídl; Zdenek Peroutka (IECON, 2014)

Sensorless permanent magnet synchronous drive with DTC based on high frequency injections. - Tomas Glasberger; Vendula Muzikova; Václav Smídl; Zdenek Peroutka (IECON, 2014)

Extending horizon of finite control set MPC of PMSM drive with input LC filter using LQ lookahead. - Václav Smídl; Stepán Janous; Zdenek Peroutka (IECON, 2014)

Reduced-order Kalman filter in phase coordinates for IPMSM with higher flux harmonics. - David Uzel; Václav Smídl; Zdenek Peroutka (IECON, 2014)

Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation. - Václav Smídl; Radek Hofman (Technometrics, 2014)

Variational blind source separation toolbox and its application to hyperspectral image data. - Ondrej Tichý; Václav Smídl (EUSIPCO, 2015)

Bayesian Blind Source Separation with Unknown Prior Covariance. - Ondrej Tichý; Václav Smídl (LVA/ICA, 2015)

Mitigation of electric drivetrain oscillation resulting from abrupt current derating at low coolant flow rate. - Humphrey Mokom Njawah Achiri; Václav Smídl; Zdenek Peroutka (IECON, 2015)

Finite control set MPC of active current-source rectifier with full state space model. - Jan Michalik; Zdenek Peroutka; Václav Smídl (IECON, 2015)

On Distributed Traffic Signal Control. - Jan Prikryl; Jakub Novotny; Václav Smídl (ITSC, 2015)

Estimation of input function from dynamic PET brain data using Bayesian blind source separation. - Ondrej Tichý; Václav Smídl (Comput. Sci. Inf. Syst., 2015)

Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following. - Leopoldo Armesto; Vicent Girbés; Antonio Sala 001; Miroslav Zima; Václav Smídl (IEEE Trans. Control. Syst. Technol., 2015)

Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control. - Václav Smídl; Stepán Janous; Zdenek Peroutka (IEEE Trans. Ind. Electron., 2015)

Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors. - Ondrej Tichý; Václav Smídl (IEEE Trans. Medical Imaging, 2015)

Experimental validation of IGBT thermal impedances from voltage-based and direct temperature measurements. - Humphrey Mokom Njawah Achiri; Lubos Streit; Václav Smídl; Zdenek Peroutka (IECON, 2016)

LQ lookahead in finite control set MPC of current-source rectifier. - Jan Michalik; Václav Smídl; Zdenek Peroutka (IECON, 2016)

Model-based extraction of input and organ functions in dynamic scintigraphic imaging. - Ondrej Tichý; Václav Smídl; Martin Sámal (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016)

Non-parametric Bayesian models of response function in dynamic image sequences. - Ondrej Tichý; Václav Smídl (Comput. Vis. Image Underst., 2016)

Model predictive control of multiple induction machines fed from single inverter. - Stepán Janous; Jakub Talla; Zdenek Peroutka; Václav Smídl (IECON, 2017)

Efficient MPC for permanent magnet synchronous motor. - Marek Feher; Ondrej Straka; Václav Smídl (MED, 2017)

Blind Deconvolution With Model Discrepancies. - Jan Kotera; Václav Smídl; Filip Sroubek (IEEE Trans. Image Process., 2017)

Optimal Feedforward Torque Control of Synchronous Machines with Time-Varying Parameters. - Antonín Glac; Václav Smídl; Zdenek Peroutka (IECON, 2018)

Predictive Control of Parallel Induction Motors Fed by Single Inverter with Common Current Sensors. - Stepán Janous; Jakub Talla; Zdenek Peroutka; Václav Smídl (IECON, 2018)

Are generative deep models for novelty detection truly better? - Vít Skvára; Tomás Pevný; Václav Smídl (CoRR, 2018)

An Adaptive Correlated Image Prior for Image Restoration Problems. - Jakub Sevcik; Václav Smídl; Filip Sroubek (IEEE Signal Process. Lett., 2018)

Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization. - Václav Smídl; Stepán Janous; Lukás Adam; Zdenek Peroutka (IEEE Trans. Ind. Electron., 2018)

Adaptive Speed Control of Induction Motor Drive With Inaccurate Model. - Jakub Talla; Viet Quoc Leu; Václav Smídl; Zdenek Peroutka (IEEE Trans. Ind. Electron., 2018)

Self-Sensing Control of Wound Rotor Synchronous Motor Drive for Mine Hoist. - David Uzel; Zdenek Peroutka; Václav Smídl; Tomás Kosan; Karel Zeman (IEEE Trans. Ind. Electron., 2018)

Adaptive control of LCL filter with time-varying parameters using reinforcement learning. - Jaroslav Dragoun; Václav Smídl (IECON, 2019)

Identification of Thermal Model of Power Module Using Expectation-Maximization Algorithm. - Jakub Sevcik; Václav Smídl; Martin Votava (IECON, 2019)

Model of Hybrid Speed and Throttle Control for Centrifugal Pump System Enhancement. - Levon Gevorkov; Václav Smídl; Martin Sirový (ISIE, 2019)

Anomaly scores for generative models. - Václav Smídl; Jan Bím; Tomás Pevný (CoRR, 2019)

Rodent: Relevance determination in ODE. - Niklas Heim; Václav Smídl; Tomás Pevný (CoRR, 2019)

Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior. - Ondrej Tichý; Lenka Bodiova; Václav Smídl (IEEE Signal Process. Lett., 2019)

Comparison of IPMSM Parameter Estimation Methods for Motor Efficiency. - Antonín Glac; Václav Smídl; Zdenek Peroutka; Christoph M. Hackl (IECON, 2020)

Bayesian optimization of FCS-MPC Parameters for Reduction of Induction Motor Electromagnetic Noise. - Michal Kroneisl; Václav Smídl (ISIE, 2020)

Neural Power Units. - Niklas Heim; Tomás Pevný; Václav Smídl (NeurIPS, 2020)

Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. - Tomás Pevný; Václav Smídl; Martin Trapp; Ondrej Polácek; Tomás Oberhuber (PGM, 2020)

Nonlinear classifiers for ranking problems based on kernelized SVM. - Václav Mácha 001; Lukás Adam; Václav Smídl (CoRR, 2020)

DeepTopPush: Simple and Scalable Method for Accuracy at the Top. - Lukás Adam; Václav Mácha 001; Václav Smídl (CoRR, 2020)

Solvability of the Power Flow Problem in DC Overhead Wire Circuit. - Jakub Sevcik; Lukás Adam; Jan Prikryl; Václav Smídl (CoRR, 2020)

Model predictive control of electric drive system with L1-norm. - Marek Fehér; Ondrej Straka; Václav Smídl (Eur. J. Control, 2020)

Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections. - Josef Justa; Václav Smídl; Ales Hamácek (Sensors, 2020)

Predictive Control of IM Drive Acoustic Noise. - Michal Kroneisl; Václav Smídl; Zdenek Peroutka; Martin Janda (IEEE Trans. Ind. Electron., 2020)

Improving Neural Blind Deconvolution. - Jan Kotera; Filip Sroubek; Václav Smídl (ICIP, 2021)

Active Learning for Text Classification and Fake News Detection. - Marko Sahan; Václav Smídl; Radek Marík (ISCSIC, 2021)

Fitting large mixture models using stochastic component selection. - Milan Papez; Tomás Pevný; Václav Smídl (CoRR, 2021)

Constrained LQR Control of Dual Induction Motor Single Inverter Drive. - Stepán Janous; Jakub Talla; Václav Smídl; Zdenek Peroutka (IEEE Trans. Ind. Electron., 2021)

Batch Active Learning for Text Classification and Sentiment Analysis. - Marko Sahan; Václav Smídl; Radek Marik (CCRIS, 2022)

Informed Sampling of Prioritized Experience Replay. - Mirza Ramicic; Václav Smídl; Andrea Bonarini (ICDL, 2022)

Identification of Thermal Model Parameters Using Deep Learning Techniques. - Jakub Sevcik; Václav Smídl; Martin Votava (ISIE, 2022)

Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere. - Petr Pecha; Miroslav Kárný; Emilie Pechová; Václav Smídl; Ondrej Tichý (ERCIM News, 2022)

General framework for binary classification on top samples. - Lukás Adam; Václav Mácha 001; Václav Smídl; Tomás Pevný (Optim. Methods Softw., 2022)

Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors. - Josef Justa; Václav Smídl; Ales Hamácek (Sensors, 2022)

Comparison of Anomaly Detectors: Context Matters. - Vít Skvára; Jan Francu; Matej Zorek; Tomás Pevný; Václav Smídl (IEEE Trans. Neural Networks Learn. Syst., 2022)

Optimal Current Setpoints for Five-Phase Synchronous Drive. - Jan Laksar; Václav Smídl; Tomás Komrska; Lukás Adam (IECON, 2023)

Neural ODE for Estimation of Flux Linkage Models of Synchronous Machines. - Jakub Sevcik; Václav Smídl; Antonín Glac; Zdenek Peroutka (IECON, 2023)

Is AUC the best measure for practical comparison of anomaly detectors? - Vít Skvára; Tomás Pevný; Václav Smídl (CoRR, 2023)

Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. - Milan Papez; Martin Rektoris; Václav Smídl; Tomás Pevný (ICLR, 2024)

Benchmarking Performance of Neural Network Architectures in Conventional Industrial Hardware. - Serge Pacome Bosson; Václav Smídl (IECON, 2024)

Avoiding Undesirable Solutions of Deep Blind Image Deconvolution. - Antonie Brozová; Václav Smídl (VISIGRAPP (3): VISAPP, 2024)

GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings. - Milan Papez; Martin Rektoris; Václav Smídl; Tomás Pevný (CoRR, 2024)

Deep anomaly detection on set data: Survey and comparison. - Michaela Masková; Matej Zorek; Tomás Pevný; Václav Smídl (Pattern Recognit., 2024)

Malicious Internet Entity Detection Using Local Graph Inference. - Simon Mandlík; Tomás Pevný; Václav Smídl; Lukás Bajer (IEEE Trans. Inf. Forensics Secur., 2024)

Anomaly detection in multifactor data. - Vít Skvára; Václav Smídl; Tomás Pevný (Neural Comput. Appl., 2024)

Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs. - Milan Papez; Martin Rektoris; Václav Smídl; Tomás Pevný (UAI, 2025)

State-Dependent Neural Flux Linkage Models of Synchronous Machines. - Jakub Sevcik; Václav Smídl; Antonín Glac (IEEE Trans. Ind. Informatics, 2025)