Václav Smídl

114 papers A* 3A 1B 3C 27Misc 1Journal 50Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis and Taxonomy of Optimal Current Setpoints for Five-Phase Synchronous Motor Drives. IEEE Trans. Ind. Electron. Jan Laksar, Tomás Komrska, Václav Smídl, Ondrej Suchý, Zdenek Frank, Lukás Adam, Zdenek Peroutka
2026	J	`jnl`	GEMSS: A Variational Bayesian Method for Discovering Multiple Sparse Solutions in Classification and Regression Problems. CoRR Katerina Henclová, Václav Smídl
2025	A*	`conf`	Differentiable Distance Between Hierarchically-Structured Data. ICDM Matej Zorek, Tomás Pevný, Václav Smídl
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
2025	J	`jnl`	State-Dependent Neural Flux Linkage Models of Synchronous Machines. IEEE Trans. Ind. Informatics Jakub Sevcik, Václav Smídl, Antonín Glac
2025	B	`conf`	Towards AI Analyst: Querying Costly Features for Fraud and Money Laundering Detection. COMPSAC Michaela Masková, Václav Smídl
2024	J	`jnl`	Anomaly detection in multifactor data. Neural Comput. Appl. Vít Skvára, Václav Smídl, Tomás Pevný
2024	—	`conf`	Avoiding Undesirable Solutions of Deep Blind Image Deconvolution. VISIGRAPP (3): VISAPP Antonie Brozová, Václav Smídl
2024	C	`conf`	Benchmarking Performance of Neural Network Architectures in Conventional Industrial Hardware. IECON Serge Pacome Bosson, Václav Smídl
2024	J	`jnl`	Deep anomaly detection on set data: Survey and comparison. Pattern Recognit. Michaela Masková, Matej Zorek, Tomás Pevný, Václav Smídl
2024	J	`jnl`	GraphSPNs: Sum-Product Networks Benefit From Canonical Orderings. CoRR Milan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný
2024	J	`jnl`	Malicious Internet Entity Detection Using Local Graph Inference. CoRR Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer
2024	J	`jnl`	Malicious Internet Entity Detection Using Local Graph Inference. IEEE Trans. Inf. Forensics Secur. Simon Mandlík, Tomás Pevný, Václav Smídl, Lukás Bajer
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
2023	J	`jnl`	Is AUC the best measure for practical comparison of anomaly detectors? CoRR Vít Skvára, Tomás Pevný, Václav Smídl
2023	C	`conf`	Neural ODE for Estimation of Flux Linkage Models of Synchronous Machines. IECON Jakub Sevcik, Václav Smídl, Antonín Glac, Zdenek Peroutka
2023	C	`conf`	Optimal Current Setpoints for Five-Phase Synchronous Drive. IECON Jan Laksar, Václav Smídl, Tomás Komrska, Lukás Adam
2022	—	`conf`	Batch Active Learning for Text Classification and Sentiment Analysis. CCRIS Marko Sahan, Václav Smídl, Radek Marik
2022	J	`jnl`	Comparison of Anomaly Detectors: Context Matters. IEEE Trans. Neural Networks Learn. Syst. Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl
2022	J	`jnl`	Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors. Sensors Josef Justa, Václav Smídl, Ales Hamácek
2022	J	`jnl`	General framework for binary classification on top samples. Optim. Methods Softw. Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný
2022	—	`conf`	Identification of Thermal Model Parameters Using Deep Learning Techniques. ISIE Jakub Sevcik, Václav Smídl, Martin Votava
2022	—	`conf`	Informed Sampling of Prioritized Experience Replay. ICDL Mirza Ramicic, Václav Smídl, Andrea Bonarini
2022	J	`jnl`	Potential Hazard of Accidental Radioactive Discharges into the Calm Atmosphere. ERCIM News Petr Pecha, Miroslav Kárný, Emilie Pechová, Václav Smídl, Ondrej Tichý
2021	—	`conf`	Active Learning for Text Classification and Fake News Detection. ISCSIC Marko Sahan, Václav Smídl, Radek Marík
2021	J	`jnl`	Constrained LQR Control of Dual Induction Motor Single Inverter Drive. IEEE Trans. Ind. Electron. Stepán Janous, Jakub Talla, Václav Smídl, Zdenek Peroutka
2021	J	`jnl`	Fitting large mixture models using stochastic component selection. CoRR Milan Papez, Tomás Pevný, Václav Smídl
2021	B	`conf`	Improving Neural Blind Deconvolution. ICIP Jan Kotera, Filip Sroubek, Václav Smídl
2020	—	`conf`	Bayesian optimization of FCS-MPC Parameters for Reduction of Induction Motor Electromagnetic Noise. ISIE Michal Kroneisl, Václav Smídl
2020	J	`jnl`	Comparison of Anomaly Detectors: Context Matters. CoRR Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl
2020	C	`conf`	Comparison of IPMSM Parameter Estimation Methods for Motor Efficiency. IECON Antonín Glac, Václav Smídl, Zdenek Peroutka, Christoph M. Hackl
2020	J	`jnl`	DeepTopPush: Simple and Scalable Method for Accuracy at the Top. CoRR Lukás Adam, Václav Mácha, Václav Smídl
2020	J	`jnl`	Fast AHRS Filter for Accelerometer, Magnetometer, and Gyroscope Combination with Separated Sensor Corrections. Sensors Josef Justa, Václav Smídl, Ales Hamácek
2020	J	`jnl`	General Framework for Binary Classification on Top Samples. CoRR Lukás Adam, Václav Mácha, Václav Smídl, Tomás Pevný
2020	J	`jnl`	Model predictive control of electric drive system with L1-norm. Eur. J. Control Marek Fehér, Ondrej Straka, Václav Smídl
2020	A*	`conf`	Neural Power Units. NeurIPS Niklas Heim, Tomás Pevný, Václav Smídl
2020	J	`jnl`	Neural Power Units. CoRR Niklas Heim, Tomás Pevný, Václav Smídl
2020	J	`jnl`	Nonlinear classifiers for ranking problems based on kernelized SVM. CoRR Václav Mácha, Lukás Adam, Václav Smídl
2020	J	`jnl`	Predictive Control of IM Drive Acoustic Noise. IEEE Trans. Ind. Electron. Michal Kroneisl, Václav Smídl, Zdenek Peroutka, Martin Janda
2020	J	`jnl`	Solvability of the Power Flow Problem in DC Overhead Wire Circuit. CoRR Jakub Sevcik, Lukás Adam, Jan Prikryl, Václav Smídl
2020	—	`conf`	Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. PGM Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber
2020	J	`jnl`	Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations. CoRR Tomás Pevný, Václav Smídl, Martin Trapp, Ondrej Polácek, Tomás Oberhuber
2019	C	`conf`	Adaptive control of LCL filter with time-varying parameters using reinforcement learning. IECON Jaroslav Dragoun, Václav Smídl
2019	J	`jnl`	Anomaly scores for generative models. CoRR Václav Smídl, Jan Bím, Tomás Pevný
2019	J	`jnl`	Bayesian Non-Negative Matrix Factorization With Adaptive Sparsity and Smoothness Prior. IEEE Signal Process. Lett. Ondrej Tichý, Lenka Bodiova, Václav Smídl
2019	C	`conf`	Identification of Thermal Model of Power Module Using Expectation-Maximization Algorithm. IECON Jakub Sevcik, Václav Smídl, Martin Votava
2019	—	`conf`	Model of Hybrid Speed and Throttle Control for Centrifugal Pump System Enhancement. ISIE Levon Gevorkov, Václav Smídl, Martin Sirový
2019	J	`jnl`	Rodent: Relevance determination in ODE. CoRR Niklas Heim, Václav Smídl, Tomás Pevný
2018	J	`jnl`	Adaptive Speed Control of Induction Motor Drive With Inaccurate Model. IEEE Trans. Ind. Electron. Jakub Talla, Viet Quoc Leu, Václav Smídl, Zdenek Peroutka
2018	J	`jnl`	An Adaptive Correlated Image Prior for Image Restoration Problems. IEEE Signal Process. Lett. Jakub Sevcik, Václav Smídl, Filip Sroubek
2018	J	`jnl`	Are generative deep models for novelty detection truly better? CoRR Vít Skvára, Tomás Pevný, Václav Smídl
2018	J	`jnl`	Direct Speed Control of a PMSM Drive Using SDRE and Convex Constrained Optimization. IEEE Trans. Ind. Electron. Václav Smídl, Stepán Janous, Lukás Adam, Zdenek Peroutka
2018	C	`conf`	Optimal Feedforward Torque Control of Synchronous Machines with Time-Varying Parameters. IECON Antonín Glac, Václav Smídl, Zdenek Peroutka
2018	C	`conf`	Predictive Control of Parallel Induction Motors Fed by Single Inverter with Common Current Sensors. IECON Stepán Janous, Jakub Talla, Zdenek Peroutka, Václav Smídl
2018	J	`jnl`	Self-Sensing Control of Wound Rotor Synchronous Motor Drive for Mine Hoist. IEEE Trans. Ind. Electron. David Uzel, Zdenek Peroutka, Václav Smídl, Tomás Kosan, Karel Zeman
2017	J	`jnl`	Blind Deconvolution With Model Discrepancies. IEEE Trans. Image Process. Jan Kotera, Václav Smídl, Filip Sroubek
2017	—	`conf`	Efficient MPC for permanent magnet synchronous motor. MED Marek Feher, Ondrej Straka, Václav Smídl
2017	C	`conf`	Model predictive control of multiple induction machines fed from single inverter. IECON Stepán Janous, Jakub Talla, Zdenek Peroutka, Václav Smídl
2016	C	`conf`	Experimental validation of IGBT thermal impedances from voltage-based and direct temperature measurements. IECON Humphrey Mokom Njawah Achiri, Lubos Streit, Václav Smídl, Zdenek Peroutka
2016	C	`conf`	LQ lookahead in finite control set MPC of current-source rectifier. IECON Jan Michalik, Václav Smídl, Zdenek Peroutka
2016	J	`jnl`	Model-based extraction of input and organ functions in dynamic scintigraphic imaging. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Ondrej Tichý, Václav Smídl, Martin Sámal
2016	J	`jnl`	Non-parametric Bayesian models of response function in dynamic image sequences. Comput. Vis. Image Underst. Ondrej Tichý, Václav Smídl
2015	J	`jnl`	Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors. IEEE Trans. Medical Imaging Ondrej Tichý, Václav Smídl
2015	—	`conf`	Bayesian Blind Source Separation with Unknown Prior Covariance. LVA/ICA Ondrej Tichý, Václav Smídl
2015	J	`jnl`	Duality-Based Nonlinear Quadratic Control: Application to Mobile Robot Trajectory-Following. IEEE Trans. Control. Syst. Technol. Leopoldo Armesto, Vicent Girbés, Antonio Sala, Miroslav Zima, Václav Smídl
2015	J	`jnl`	Estimation of input function from dynamic PET brain data using Bayesian blind source separation. Comput. Sci. Inf. Syst. Ondrej Tichý, Václav Smídl
2015	C	`conf`	Finite control set MPC of active current-source rectifier with full state space model. IECON Jan Michalik, Zdenek Peroutka, Václav Smídl
2015	J	`jnl`	Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control. IEEE Trans. Ind. Electron. Václav Smídl, Stepán Janous, Zdenek Peroutka
2015	C	`conf`	Mitigation of electric drivetrain oscillation resulting from abrupt current derating at low coolant flow rate. IECON Humphrey Mokom Njawah Achiri, Václav Smídl, Zdenek Peroutka
2015	—	`conf`	On Distributed Traffic Signal Control. ITSC Jan Prikryl, Jakub Novotny, Václav Smídl
2015	—	`conf`	Variational blind source separation toolbox and its application to hyperspectral image data. EUSIPCO Ondrej Tichý, Václav Smídl
2014	J	`jnl`	Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation. Technometrics Václav Smídl, Radek Hofman
2014	C	`conf`	Extending horizon of finite control set MPC of PMSM drive with input LC filter using LQ lookahead. IECON Václav Smídl, Stepán Janous, Zdenek Peroutka
2014	—	`conf`	Kinetic modeling of the dynamic PET brain data using blind source separation methods. BMEI Ondrej Tichý, Václav Smídl
2014	C	`conf`	Reduced-order Kalman filter in phase coordinates for IPMSM with higher flux harmonics. IECON David Uzel, Václav Smídl, Zdenek Peroutka
2014	C	`conf`	Sensorless permanent magnet synchronous drive with DTC based on high frequency injections. IECON Tomas Glasberger, Vendula Muzikova, Václav Smídl, Zdenek Peroutka
2014	C	`conf`	Start-stop system for a city bus based on model predictive control. IECON Radim Dudek, Václav Smídl, Zdenek Peroutka
2014	B	`conf`	Understanding image priors in blind deconvolution. ICIP Filip Sroubek, Václav Smídl, Jan Kotera
2013	C	`conf`	Adaptive importance sampling in particle filtering. FUSION Václav Smídl, Radek Hofman
2013	—	`conf`	Extended Rauch-Tung-Striebel controller. CDC Miroslav Zima, Leopoldo Armesto, Vicent Girbés, Antonio Sala, Václav Smídl
2013	C	`conf`	FPGA implementation of marginalized particle filter for sensorless control of PMSM drives. IECON Václav Smídl, Robert Nedved, Tomás Kosan, Zdenek Peroutka
2013	—	`conf`	Feed-forward guided generalized predictive control of PMSM drive. ISIE Stepán Janous, Václav Smídl, Zdenek Peroutka
2013	C	`conf`	Kalman filters unifying model-based and HF injection-based sensorless control of PMSM drives. IECON Václav Smídl, David Vosmik, Zdenek Peroutka
2013	J	`jnl`	Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters. Autom. Emre Özkan, Václav Smídl, Saikat Saha, Christian Lundquist, Fredrik Gustafsson
2013	C	`conf`	Rao-Blackwellized point mass filter for reliable state estimation. FUSION Václav Smídl, Matej Gasperin
2013	C	`conf`	Resolver motivated sensorless rotor position estimation of wound rotor synchronous motors with Kalman filter. IECON David Uzel, Václav Smídl, Zdenek Peroutka
2013	—	`conf`	Sensorless PMSM control: Hybrid rotor position estimator using maximum likelihood model selection. ISIE David Vosmik, Václav Smídl, Zdenek Peroutka
2013	C	`conf`	Sensorless direct torque control of PMSM with reduced model Extended Kalman filter. IECON Tomas Glasberger, Vendula Muzikova, Zdenek Peroutka, Václav Smídl
2013	—	`conf`	Sparsity in Bayesian Blind Source Separation and Deconvolution. ECML/PKDD (2) Václav Smídl, Ondrej Tichý
2012	J	`jnl`	Advantages of Square-Root Extended Kalman Filter for Sensorless Control of AC Drives. IEEE Trans. Ind. Electron. Václav Smídl, Zdenek Peroutka
2012	—	`conf`	Automatic regions of interest in factor analysis for dynamic medical imaging. ISBI Václav Smídl, Ondrej Tichý
2012	—	`conf`	Bayesian estimation of forgetting factor in adaptive filtering and change detection. SSP Václav Smídl, Fredrik Gustafsson
2012	C	`conf`	Marginalized particle filter for sensorless control of PMSM drives. IECON Václav Smídl, Zdenek Peroutka
2012	—	`conf`	Navigation of UAVs for tracking of atmospheric release of radiation. CDC Václav Smídl, Radek Hofman
2011	—	`conf`	Model for memory-based music transcription and its Variational Bayes solution. EUSIPCO Stepan Albrecht, Václav Smídl
2011	Misc	`conf`	Non-parametric bayesian measurement noise density estimation in non-linear filtering. ICASSP Emre Özkan, Saikat Saha, Fredrik Gustafsson, Václav Smídl
2010	—	`conf`	Improvements of continuous model for memory-based automatic music transcription. EUSIPCO Stepan Albrecht, Václav Smídl
2010	C	`conf`	Marginalized particle filters for Bayesian estimation of Gaussian noise parameters. FUSION Saikat Saha, Emre Özkan, Fredrik Gustafsson, Václav Smídl
2010	—	`conf`	Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems. ISGT Europe Denis N. Sidorov, Daniil A. Panasetsky, Václav Smídl
2010	C	`conf`	Software analysis unifying particle filtering and marginalized particle filtering. FUSION Václav Smídl
2008	—	`conf`	Merging of Advices from Multiple Advisory Systems - With Evaluation on Rolling Mill Data. ICINCO-ICSO Pavel Ettler, Josef Andrýsek, Václav Smídl, Miroslav Kárný
2008	C	`conf`	Merging of multistep predictors for decentralized adaptive control. ACC Václav Smídl, Josef Andrýsek
2008	J	`jnl`	Variational Bayesian Filtering. IEEE Trans. Signal Process. Václav Smídl, Anthony Quinn
2007	—	`conf`	Accelerated Particle Filtering using the Variational Bayes Approximation. ICASSP (3) Václav Smídl, Anthony Quinn
2007	J	`jnl`	On Bayesian principal component analysis. Comput. Stat. Data Anal. Václav Smídl, Anthony Quinn
2006	—	`conf`	The Variational Bayes Approximation In Bayesian Filtering. ICASSP (3) Václav Smídl, Anthony Quinn
2005	—	`conf`	From Bayesian Decision-Makers to Bayesian Agents. SOAS Václav Smídl, Jan Prikryl
2005	J	`jnl`	Mixture-based extension of the AR model and its recursive Bayesian identification. IEEE Trans. Signal Process. Václav Smídl, Anthony Quinn
2005	J	`jnl`	Robust estimation of autoregressive processes using a mixture-based filter-bank. Syst. Control. Lett. Václav Smídl, Anthony Quinn, Miroslav Kárný, Tatiana V. Guy
2005	—	`conf`	The variational EM algorithm for on-line identification of extended AR models [speech processing example]. ICASSP (4) Václav Smídl, Anthony Quinn
2001	—	`conf`	Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data. IPMI Václav Smídl, Miroslav Kárný, Martin Sámal, Werner Backfrieder, Zsolt Szabo