Václav Smídl

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 52

Top Venues

IECON

CoRR

IEEE Trans. Ind. Electron.

ISIE

Publications

Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs. ICLR (2024)
Antonie Brozová, Václav Smídl
Avoiding Undesirable Solutions of Deep Blind Image Deconvolution. VISIGRAPP (3): VISAPP (2024)
Michaela Masková, Matej Zorek, Tomás Pevný, Václav Smídl
Deep anomaly detection on set data: Survey and comparison. Pattern Recognit. 151 (2024)
Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer
Malicious Internet Entity Detection Using Local Graph Inference. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Jan Laksar, Václav Smídl, Tomás Komrska, Lukás Adam
Optimal Current Setpoints for Five-Phase Synchronous Drive. IECON (2023)
Jakub Sevcik, Václav Smídl, Antonín Glac, Zdenek Peroutka
Neural ODE for Estimation of Flux Linkage Models of Synchronous Machines. IECON (2023)
Vít Skvára, Tomás Pevný, Václav Smídl
Is AUC the best measure for practical comparison of anomaly detectors? CoRR (2023)
Josef Justa, Václav Smídl, Ales Hamácek
Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors. Sensors 22 (10) (2022)
Jakub Sevcik, Václav Smídl, Martin Votava
Identification of Thermal Model Parameters Using Deep Learning Techniques. ISIE (2022)
Mirza Ramicic, Václav Smídl, Andrea Bonarini
Informed Sampling of Prioritized Experience Replay. ICDL (2022)
Marko Sahan, Václav Smídl, Radek Marik
Batch Active Learning for Text Classification and Sentiment Analysis. CCRIS (2022)
Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný
General framework for binary classification on top samples. Optim. Methods Softw. 37 (5) (2022)
Petr Pecha, Miroslav Kárný, Emilie Pechová, Václav Smídl, Ondrej Tichý
Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere. ERCIM News 2022 (129) (2022)
Vít Skvára, Jan Francå, Matej Zorek, Tomás Pevný, Václav Smídl
Comparison of Anomaly Detectors: Context Matters. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Jan Kotera, Filip Sroubek, Václav Smídl
Improving Neural Blind Deconvolution. ICIP (2021)
Stepán Janous, Jakub Talla, Václav Smídl, Zdenek Peroutka
Constrained LQR Control of Dual Induction Motor Single Inverter Drive. IEEE Trans. Ind. Electron. 68 (7) (2021)
Marko Sahan, Václav Smídl, Radek Marík
Active Learning for Text Classification and Fake News Detection. ISCSIC (2021)
Milan Papez, Tomás Pevný, Václav Smídl
Fitting large mixture models using stochastic component selection. CoRR (2021)
Michal Kroneisl, Václav Smídl, Zdenek Peroutka, Martin Janda
Predictive Control of IM Drive Acoustic Noise. IEEE Trans. Ind. Electron. 67 (7) (2020)
Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. PGM (2020)
Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. CoRR (2020)
Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný
General Framework for Binary Classification on Top Samples. CoRR (2020)
Lukás Adam, Václav Mácha, Václav Smídl
DeepTopPush: Simple and Scalable Method for Accuracy at the Top. CoRR (2020)
Jakub Sevcik, Lukás Adam, Jan Prikryl, Václav Smídl
Solvability of the Power Flow Problem in DC Overhead Wire Circuit. CoRR (2020)
Marek Fehér, Ondrej Straka, Václav Smídl
Model predictive control of electric drive system with L1-norm. Eur. J. Control 56 (2020)
Michal Kroneisl, Václav Smídl
Bayesian optimization of FCS-MPC Parameters for Reduction of Induction Motor Electromagnetic Noise. ISIE (2020)
Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl
Comparison of Anomaly Detectors: Context Matters. CoRR (2020)
Antonín Glac, Václav Smídl, Zdenek Peroutka, Christoph M. Hackl
Comparison of IPMSM Parameter Estimation Methods for Motor Efficiency. IECON (2020)
Josef Justa, Václav Smídl, Ales Hamácek
Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections. Sensors 20 (14) (2020)
Niklas Heim, Tomás Pevný, Václav Smídl
Neural Power Units. NeurIPS (2020)
Niklas Heim, Tomás Pevný, Václav Smídl
Neural Power Units. CoRR (2020)
Václav Mácha, Lukás Adam, Václav Smídl
Nonlinear classifiers for ranking problems based on kernelized SVM. CoRR (2020)
Niklas Heim, Václav Smídl, Tomás Pevný
Rodent: Relevance determination in ODE. CoRR (2019)
Jaroslav Dragoun, Václav Smídl
Adaptive control of LCL filter with time-varying parameters using reinforcement learning. IECON (2019)
Levon Gevorkov, Václav Smídl, Martin Sirový
Model of Hybrid Speed and Throttle Control for Centrifugal Pump System Enhancement. ISIE (2019)
Jakub Sevcik, Václav Smídl, Martin Votava
Identification of Thermal Model of Power Module Using Expectation-Maximization Algorithm. IECON (2019)
Václav Smídl, Jan Bím, Tomás Pevný
Anomaly scores for generative models. CoRR (2019)
Ondrej Tichy, Lenka Bodiova, Václav Smídl
Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior. IEEE Signal Process. Lett. 26 (3) (2019)
Jakub Talla, Viet Quoc Leu, Václav Smídl, Zdenek Peroutka
Adaptive Speed Control of Induction Motor Drive With Inaccurate Model. IEEE Trans. Ind. Electron. 65 (11) (2018)
Vít Skvára, Tomás Pevný, Václav Smídl
Are generative deep models for novelty detection truly better? CoRR (2018)
Stepán Janous, Jakub Talla, Zdenek Peroutka, Václav Smídl
Predictive Control of Parallel Induction Motors Fed by Single Inverter with Common Current Sensors. IECON (2018)
Antonín Glac, Václav Smídl, Zdenek Peroutka
Optimal Feedforward Torque Control of Synchronous Machines with Time-Varying Parameters. IECON (2018)
David Uzel, Zdenek Peroutka, Václav Smídl, Tomas Kosan, Karel Zeman
Self-Sensing Control of Wound Rotor Synchronous Motor Drive for Mine Hoist. IEEE Trans. Ind. Electron. 65 (3) (2018)
Václav Smídl, Stepán Janous, Lukás Adam, Zdenek Peroutka
Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization. IEEE Trans. Ind. Electron. 65 (1) (2018)
Jakub Sevcik, Václav Smídl, Filip Sroubek
An Adaptive Correlated Image Prior for Image Restoration Problems. IEEE Signal Process. Lett. 25 (7) (2018)
Stepán Janous, Jakub Talla, Zdenek Peroutka, Václav Smídl
Model predictive control of multiple induction machines fed from single inverter. IECON (2017)
Marek Feher, Ondrej Straka, Václav Smídl
Efficient MPC for permanent magnet synchronous motor. MED (2017)
Jan Kotera, Václav Smídl, Filip Sroubek
Blind Deconvolution With Model Discrepancies. IEEE Trans. Image Process. 26 (5) (2017)
Jan Michalik, Václav Smídl, Zdenek Peroutka
LQ lookahead in finite control set MPC of current-source rectifier. IECON (2016)
Ondrej Tichy, Václav Smídl
Non-parametric Bayesian models of response function in dynamic image sequences. Comput. Vis. Image Underst. 151 (2016)
Ondrej Tichy, Václav Smídl, Martin Sámal
Model-based extraction of input and organ functions in dynamic scintigraphic imaging. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4 (3-4) (2016)
Humphrey Mokom Njawah Achiri, Lubos Streit, Václav Smídl, Zdenek Peroutka
Experimental validation of IGBT thermal impedances from voltage-based and direct temperature measurements. IECON (2016)
Leopoldo Armesto, Vicent Girbés, Antonio Sala, Miroslav Zima, Václav Smídl
Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following. IEEE Trans. Control. Syst. Technol. 23 (4) (2015)
Ondrej Tichy, Václav Smídl
Bayesian Blind Source Separation with Unknown Prior Covariance. LVA/ICA (2015)
Václav Smídl, Stepán Janous, Zdenek Peroutka
Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control. IEEE Trans. Ind. Electron. 62 (5) (2015)
Humphrey Mokom Njawah Achiri, Václav Smídl, Zdenek Peroutka
Mitigation of electric drivetrain oscillation resulting from abrupt current derating at low coolant flow rate. IECON (2015)
Jan Michalik, Zdenek Peroutka, Václav Smídl
Finite control set MPC of active current-source rectifier with full state space model. IECON (2015)
Ondrej Tichy, Václav Smídl
Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors. IEEE Trans. Medical Imaging 34 (1) (2015)
Ondrej Tichy, Václav Smídl
Estimation of input function from dynamic PET brain data using Bayesian blind source separation. Comput. Sci. Inf. Syst. 12 (4) (2015)
Jan Prikryl, Jakub Novotny, Václav Smídl
On Distributed Traffic Signal Control. ITSC (2015)
Ondrej Tichy, Václav Smídl
Variational blind source separation toolbox and its application to hyperspectral image data. EUSIPCO (2015)
Radim Dudek, Václav Smídl, Zdenek Peroutka
Start-stop system for a city bus based on model predictive control. IECON (2014)
Filip Sroubek, Václav Smídl, Jan Kotera
Understanding image priors in blind deconvolution. ICIP (2014)
Tomas Glasberger, Vendula Muzikova, Václav Smídl, Zdenek Peroutka
Sensorless permanent magnet synchronous drive with DTC based on high frequency injections. IECON (2014)
Václav Smídl, Stepán Janous, Zdenek Peroutka
Extending horizon of finite control set MPC of PMSM drive with input LC filter using LQ lookahead. IECON (2014)
Ondrej Tichy, Václav Smídl
Kinetic modeling of the dynamic PET brain data using blind source separation methods. BMEI (2014)
David Uzel, Václav Smídl, Zdenek Peroutka
Reduced-order Kalman filter in phase coordinates for IPMSM with higher flux harmonics. IECON (2014)
Václav Smídl, Radek Hofman
Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation. Technometrics 56 (4) (2014)
David Vosmik, Václav Smídl, Zdenek Peroutka
Sensorless PMSM control: Hybrid rotor position estimator using maximum likelihood model selection. ISIE (2013)
Miroslav Zima, Leopoldo Armesto, Vicent Girbés, Antonio Sala, Václav Smídl
Extended Rauch-Tung-Striebel controller. CDC (2013)
Václav Smídl, Ondrej Tichy
Sparsity in Bayesian Blind Source Separation and Deconvolution. ECML/PKDD (2) (2013)
Emre Özkan, Václav Smídl, Saikat Saha, Christian Lundquist, Fredrik Gustafsson
Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters. Autom. 49 (6) (2013)
Stepán Janous, Václav Smídl, Zdenek Peroutka
Feed-forward guided generalized predictive control of PMSM drive. ISIE (2013)
Václav Smídl, Matej Gasperin
Rao-Blackwellized point mass filter for reliable state estimation. FUSION (2013)
David Uzel, Václav Smídl, Zdenek Peroutka
Resolver motivated sensorless rotor position estimation of wound rotor synchronous motors with Kalman filter. IECON (2013)
Tomas Glasberger, Vendula Muzikova, Zdenek Peroutka, Václav Smídl
Sensorless direct torque control of PMSM with reduced model Extended Kalman filter. IECON (2013)
Václav Smídl, Radek Hofman
Adaptive importance sampling in particle filtering. FUSION (2013)
Václav Smídl, David Vosmik, Zdenek Peroutka
Kalman filters unifying model-based and HF injection-based sensorless control of PMSM drives. IECON (2013)
Václav Smídl, Robert Nedved, Tomas Kosan, Zdenek Peroutka
FPGA implementation of marginalized particle filter for sensorless control of PMSM drives. IECON (2013)
Václav Smídl, Ondrej Tichy
Automatic regions of interest in factor analysis for dynamic medical imaging. ISBI (2012)
Václav Smídl, Radek Hofman
Navigation of UAVs for tracking of atmospheric release of radiation. CDC (2012)
Václav Smídl, Zdenek Peroutka
Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives. IEEE Trans. Ind. Electron. 59 (11) (2012)
Václav Smídl, Zdenek Peroutka
Marginalized particle filter for sensorless control of PMSM drives. IECON (2012)
Václav Smídl, Fredrik Gustafsson
Bayesian estimation of forgetting factor in adaptive filtering and change detection. SSP (2012)
Stepan Albrecht, Václav Smídl
Model for memory-based music transcription and its Variational Bayes solution. EUSIPCO (2011)
Emre Özkan, Saikat Saha, Fredrik Gustafsson, Václav Smídl
Non-parametric bayesian measurement noise density estimation in non-linear filtering. ICASSP (2011)
Saikat Saha, Emre Özkan, Fredrik Gustafsson, Václav Smídl
Marginalized particle filters for Bayesian estimation of Gaussian noise parameters. FUSION (2010)
Václav Smídl
Software analysis unifying particle filtering and marginalized particle filtering. FUSION (2010)
Denis N. Sidorov, Daniil A. Panasetsky, Václav Smídl
Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems. ISGT Europe (2010)
Stepan Albrecht, Václav Smídl
Improvements of continuous model for memory-based automatic music transcription. EUSIPCO (2010)
Pavel Ettler, Josef Andrýsek, Václav Smídl, Miroslav Kárný
Merging of Advices from Multiple Advisory Systems - With Evaluation on Rolling Mill Data. ICINCO-ICSO (2008)
Václav Smídl, Josef Andrýsek
Merging of multistep predictors for decentralized adaptive control. ACC (2008)
Václav Smídl, Anthony Quinn
Variational Bayesian Filtering. IEEE Trans. Signal Process. 56 (10-2) (2008)
Václav Smídl, Anthony Quinn
On Bayesian principal component analysis. Comput. Stat. Data Anal. 51 (9) (2007)
Václav Smídl, Anthony Quinn
Accelerated Particle Filtering using the Variational Bayes Approximation. ICASSP (3) (2007)
Václav Smídl, Anthony Quinn
The Variational Bayes Approximation In Bayesian Filtering. ICASSP (3) (2006)
Václav Smídl, Anthony Quinn
The variational EM algorithm for on-line identification of extended AR models [speech processing example]. ICASSP (4) (2005)
Václav Smídl, Jan Prikryl
From Bayesian Decision-Makers to Bayesian Agents. SOAS (2005)
Václav Smídl, Anthony Quinn, Miroslav Kárný, Tatiana V. Guy
Robust estimation of autoregressive processes using a mixture-based filter-bank. Syst. Control. Lett. 54 (4) (2005)
Václav Smídl, Anthony Quinn
Mixture-based extension of the AR model and its recursive Bayesian identification. IEEE Trans. Signal Process. 53 (9) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Václav Smídl