Lehel Csató

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 13

Top Topics

Distortion Correction

Gaussian Process

Top Venues

Publications

Anikó Kopacz, Lehel Csató, Camelia Chira
Evaluating cooperative-competitive dynamics with deep Q-learning. Neurocomputing 550 (2023)
Tamás Kaszta, Hanna-Georgina Lieb, Lehel Csató
Wavelet-Based Prototype Networks. SISY (2023)
Csanád Sándor, Szabolcs Pável, Lehel Csató
Neural Network Pruning based on Filter Importance Values Approximated with Monte Carlo Gradient Estimation. VISIGRAPP (5: VISAPP) (2022)
Anikó Kopacz, Ágnes Mester, Sándor Kolumbán, Lehel Csató
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem. CoRR (2022)
Anikó Kopacz, Lehel Csató, Camelia Chira
Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments. SOCO (2022)
Isah Charles Saidu, Lehel Csató
Active Learning with Bayesian UNet for Efficient Semantic Image Segmentation. J. Imaging 7 (2) (2021)
Csanád Sándor, Szabolcs Pável, Lehel Csató
Pruning CNN's with linear filter ensembles. CoRR (2020)
Csanád Sándor, Szabolcs Pável, Lehel Csató
Pruning CNN's with Linear Filter Ensembles. ECAI (2020)
Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató
Single View Distortion Correction using Semantic Guidance. CoRR (2019)
Szabolcs Pável, Csanád Sándor, Lehel Csató
Distortion Estimation Through Explicit Modeling of the Refractive Surface. CoRR (2019)
Szabolcs Pável, Csanád Sándor, Lehel Csató
Distortion Estimation Through Explicit Modeling of the Refractive Surface. ICANN (3) (2019)
Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató
Single View Distortion Correction using Semantic Guidance. IJCNN (2019)
Catalin F. Perticas, Bipin Indurkhya, Razvan V. Florian, Lehel Csató
Finding Patterns in Visualizations of Programs. PPIG (2017)
Zalán Bodó, Lehel Csató
Augmented hashing for semi-supervised scenarios. ESANN (2014)
Botond Bocsi, Hunor Jakab, Lehel Csató
Simulation-Extrapolation Gaussian Processes for Input Noise Modeling. SYNASC (2014)
Botond Attila Bócsi, Lehel Csató, Jan Peters
Indirect robot model learning for tracking control. Adv. Robotics 28 (9) (2014)
Zalán Bodó, Lehel Csató
Linear spectral hashing. Neurocomputing 141 (2014)
Hunor Sandor Jakab, Lehel Csató
Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning. ICANN (2013)
Zalán Bodó, Lehel Csató
Linear spectral hashing. ESANN (2013)
Botond Attila Bócsi, Lehel Csató
Hessian Corrected Input Noise Models. ICANN (2013)
Botond Bocsi, Lehel Csató, Jan Peters
Alignment-based transfer learning for robot models. IJCNN (2013)
Hunor Jakab, Lehel Csató
Manifold-based non-parametric learning of action-value functions. ESANN (2012)
Hunor Jakab, Lehel Csató
Reinforcement learning with guided policy search using Gaussian processes. IJCNN (2012)
Zalán Bodó, Lehel Csató
Improving kernel locality-sensitive hashing using pre-images and bounds. IJCNN (2012)
Botond Bocsi, Philipp Hennig, Lehel Csató, Jan Peters
Learning tracking control with forward models. ICRA (2012)
Zalán Bodó, Zsolt Minier, Lehel Csató
Active Learning with Clustering. Active Learning and Experimental Design @ AISTATS (2011)
Remi Louis Barillec, Ben Ingram, Dan Cornford, Lehel Csató
Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Comput. Geosci. 37 (3) (2011)
Botond Bocsi, Duy Nguyen-Tuong, Lehel Csató, Bernhard Schölkopf, Jan Peters
Learning inverse kinematics with structured prediction. IROS (2011)
Hunor Jakab, Lehel Csató
Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms. ICANN (2) (2011)
Zalán Bodó, Lehel Csató
Hierarchical and Reweighting Cluster Kernels for Semi-Supervised Learning. Int. J. Comput. Commun. Control 5 (4) (2010)
Botond Bocsi, Lehel Csató
Dirichlet process-based component detection in state-space models. ESANN (2009)
Beáta Reiz, Lehel Csató
Bayesian Network Classifier for Medical Data Analysis. Int. J. Comput. Commun. Control 4 (1) (2009)
Beáta Reiz, Lehel Csató, Dan Dumitrescu
Prufer Number Encoding for Genetic Bayesian Network Structure Learning Algorithm. SYNASC (2008)
Zsolt Minier, Lehel Csató
Kernel PCA based clustering for inducing features in text categorization. ESANN (2007)
Zsolt Minier, Zalán Bodó, Lehel Csató
Wikipedia-Based Kernels for Text Categorization. SYNASC (2007)
Lehel Csató, Manfred Opper, Ole Winther
Tractable inference for probabilistic data models. Complex. 8 (4) (2003)
Lehel Csató, Manfred Opper
Sparse On-Line Gaussian Processes. Neural Comput. 14 (3) (2002)
Lehel Csató, Dan Cornford, Manfred Opper
Online Approximations for Wind-Field Models. ICANN (2001)
Lehel Csató, Manfred Opper, Ole Winther
TAP Gibbs Free Energy, Belief Propagation and Sparsity. NIPS (2001)
Lehel Csató, Manfred Opper
Sparse Representation for Gaussian Process Models. NIPS (2000)
Lehel Csató, Ernest Fokoué, Manfred Opper, Bernhard Schottky, Ole Winther
Efficient Approaches to Gaussian Process Classification. NIPS (1999)