Hidden Markov model finds behavioral patterns of users working with a headmouse driven writing tool. - György Hévízi; Mihály Biczó; Barnabás Póczos; Zoltán Szabó 001; Bálint Takács; András Lörincz (IJCNN, 2004)

L1 regularization is better than L2 for learning and predicting chaotic systems - Zoltán Szabó 001; András Lörincz (CoRR, 2004)

Cross-Entropy Optimization for Independent Process Analysis. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (ICA, 2006)

ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. - Zoltán Szabó 001; András Lörincz (Acta Cybern., 2006)

Undercomplete Blind Subspace Deconvolution Via Linear Prediction. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (ECML, 2007)

Independent Process Analysis Without a Priori Dimensional Information. - Barnabás Póczos; Zoltán Szabó 001; Melinda Kiszlinger; András Lörincz (ICA, 2007)

Post Nonlinear Independent Subspace Analysis. - Zoltán Szabó 001; Barnabás Póczos; Gábor Szirtes; András Lörincz (ICANN (1), 2007)

Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'. - Zoltán Szabó 001; András Lörincz (Acta Cybern., 2007)

Neurally plausible, non-combinatorial iterative independent process analysis. - András Lörincz; Zoltán Szabó 001 (Neurocomputing, 2007)

Undercomplete Blind Subspace Deconvolution. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (J. Mach. Learn. Res., 2007)

Complete Blind Subspace Deconvolution. - Zoltán Szabó 001 (ICA, 2009)

Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles. - Zoltán Szabó 001; András Lörincz (ICA, 2009)

Controlled Complete ARMA Independent Process Analysis. - Zoltán Szabó 001; András Lörincz (IJCNN, 2009)

Complex Independent Process Analysis. - Zoltán Szabó 001; András Lörincz (Acta Cybern., 2009)

Separation Principles in Independent Process Analysis - Zoltán Szabó 001 (2009)

Autoregressive independent process analysis with missing observations. - Zoltán Szabó 001 (ESANN, 2010)

Towards Nonstationary, Nonparametric Independent Process Analysis with Unknown Source Component Dimensions - Zoltán Szabó 001 (CoRR, 2010)

Auto-regressive independent process analysis without combinatorial efforts. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (Pattern Anal. Appl., 2010)

Online group-structured dictionary learning. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (CVPR, 2011)

Nonparametric divergence estimators for independent subspace analysis. - Barnabás Póczos; Zoltán Szabó 001; Jeff G. Schneider (EUSIPCO, 2011)

Nonparametric independent process analysis. - Zoltán Szabó 001; Barnabás Póczos (EUSIPCO, 2011)

Collaborative Filtering via Group-Structured Dictionary Learning. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (LVA/ICA, 2012)

Automated Word Puzzle Generation via Topic Dictionaries - Balázs Pintér; Gyula Vörös; Zoltán Szabó 001; András Lörincz (CoRR, 2012)

Distributed high dimensional information theoretical image registration via random projections. - Zoltán Szabó 001; András Lörincz (Digit. Signal Process., 2012)

3D shape estimation in video sequences provides high precision evaluation of facial expressions. - László A. Jeni; András Lörincz; Tamás Nagy; Zsolt Palotai; Judit Sebok; Zoltán Szabó 001; Dániel Takács (Image Vis. Comput., 2012)

Separation theorem for independent subspace analysis and its consequences. - Zoltán Szabó 001; Barnabás Póczos; András Lörincz (Pattern Recognit., 2012)

Emotional Expression Classification Using Time-Series Kernels. - András Lörincz; László Attila Jeni; Zoltán Szabó 001; Jeffrey F. Cohn; Takeo Kanade (CVPR Workshops, 2013)

Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding. - Balázs Pintér; Gyula Vörös; Zoltán Szabó 001; András Lörincz (ICPRAM (Selected Papers), 2013)

Explaining Unintelligible Words by Means of their Context. - Balázs Pintér; Gyula Vörös; Zoltán Szabó 001; András Lörincz (ICPRAM, 2013)

Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity. - László A. Jeni; András Lörincz; Zoltán Szabó 001; Jeffrey F. Cohn; Takeo Kanade (ECCV (4), 2014)

Consistent, Two-Stage Sampled Distribution Regression via Mean Embedding. - Zoltán Szabó 001; Arthur Gretton; Barnabás Póczos; Bharath K. Sriperumbudur (CoRR, 2014)

Information theoretical estimators toolbox. - Zoltán Szabó 001 (J. Mach. Learn. Res., 2014)

Two-stage sampled learning theory on distributions. - Zoltán Szabó 001; Arthur Gretton; Barnabás Póczos; Bharath K. Sriperumbudur (AISTATS, 2015)

Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM). - Mijung Park; Wittawat Jitkrittum; Ahmad Qamar; Zoltán Szabó 001; Lars Buesing; Maneesh Sahani (NIPS, 2015)

Optimal Rates for Random Fourier Features. - Bharath K. Sriperumbudur; Zoltán Szabó 001 (NIPS, 2015)

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families. - Heiko Strathmann; Dino Sejdinovic; Samuel Livingstone; Zoltán Szabó 001; Arthur Gretton (NIPS, 2015)

Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. - Wittawat Jitkrittum; Arthur Gretton; Nicolas Heess; S. M. Ali Eslami; Balaji Lakshminarayanan; Dino Sejdinovic; Zoltán Szabó 001 (UAI, 2015)

Interpretable Distribution Features with Maximum Testing Power. - Wittawat Jitkrittum; Zoltán Szabó 001; Kacper P. Chwialkowski; Arthur Gretton (NIPS, 2016)

Learning Theory for Distribution Regression. - Zoltán Szabó 001; Bharath K. Sriperumbudur; Barnabás Póczos; Arthur Gretton (J. Mach. Learn. Res., 2016)

An Adaptive Test of Independence with Analytic Kernel Embeddings. - Wittawat Jitkrittum; Zoltán Szabó 001; Arthur Gretton (ICML, 2017)

A Linear-Time Kernel Goodness-of-Fit Test. - Wittawat Jitkrittum; Wenkai Xu; Zoltán Szabó 001; Kenji Fukumizu; Arthur Gretton (NIPS, 2017)

Characteristic and Universal Tensor Product Kernels. - Zoltán Szabó 001; Bharath K. Sriperumbudur (J. Mach. Learn. Res., 2017)

On Kernel Derivative Approximation with Random Fourier Features. - Zoltán Szabó 001; Bharath K. Sriperumbudur (AISTATS, 2019)

Hard Shape-Constrained Kernel Machines. - Pierre-Cyril Aubin-Frankowski; Zoltán Szabó 001 (NeurIPS, 2020)

Discussion of 'Multiscale Fisher's Independence Test for Multivariate Dependence'. - Antonin Schrab; Wittawat Jitkrittum; Zoltán Szabó 001; Dino Sejdinovic; Arthur Gretton (CoRR, 2022)

Handling Hard Affine SDP Shape Constraints in RKHSs. - Pierre-Cyril Aubin-Frankowski; Zoltán Szabó 001 (J. Mach. Learn. Res., 2022)

Nyström M-Hilbert-Schmidt independence criterion. - Florian Kalinke; Zoltán Szabó 001 (UAI, 2023)

The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels. - Florian Kalinke; Zoltán Szabó 001 (NeurIPS, 2024)

Nyström Kernel Stein Discrepancy. - Florian Kalinke; Zoltán Szabó 001; Bharath K. Sriperumbudur (AISTATS, 2025)

The Minimax Lower Bound of Kernel Stein Discrepancy Estimation. - Jose Cribeiro-Ramallo; Agnideep Aich; Florian Kalinke; Ashit Baran Aich; Zoltán Szabó 001 (CoRR, 2025)