Lorincz, Andras

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Zoltan SzaboProfessor, LSEVerified email at lse.ac.uk
István SzitaSoftware engineer at GoogleVerified email at google.com
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zsolt PalotaiSenior Researcher, Eötvös Loránd UniversityVerified email at caesar.elte.hu
gabor szirtesRealeyes OUVerified email at realeyesit.com
Csaba SzepesvariDeepMind & University of AlbertaVerified email at cs.ualberta.ca
Laszlo A. JeniSystems Faculty in the Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Daniel SonntagDFKIVerified email at dfki.de
Zoltán Ádám MilacskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Gyorgy BuzsakiNYU Neuroscience InstituteVerified email at nyumc.org
Zoltán TősérCEO, Argus Cognitive, Inc.Verified email at arguscognitive.com
András SárkányEötvös Loránd UniversityVerified email at ik.elte.hu
Balázs PintérEötvös Loránd UniversityVerified email at elte.hu
Zoltan BozokiMTA-SZTE Research Group on Photoacoustic SpectroscopyVerified email at physx.u-szeged.hu
HERSCHEL A. RABITZ Professor, Experimental & TheoreticalVerified email at princeton.edu
Gyula VörösEötvös Loránd TudományegyetemVerified email at inf.elte.hu
Jeffrey CohnProfessor of Psychology, Psychiatry, and Intelligent Systems,University of PittsburghVerified email at pitt.edu
Áron FóthiELTE Eötvös Loránd UniversityVerified email at inf.elte.hu
Viktor VargaPhD student, Eotvos Lorand University, Faculty of Informatics, BudapestVerified email at inf.elte.hu
Gyöngyvér MolnárUniversity of SzegedVerified email at edpsy.u-szeged.hu

Lorincz, Andras

Eotvos Lorand University

Verified email at inf.elte.hu - Homepage

Artificial Intelligence Neuroscience Human-AI Collaboration


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning Tetris using the noisy cross-entropy method I Szita, A Lörincz Neural computation 18 (12), 2936-2941, 2006	305	2006
Physiological patterns in the hippocampo‐entorhinal cortex system JJ Chrobak, A Lörincz, G Buzsáki Hippocampus 10 (4), 457-465, 2000	274	2000
Parallel and adaptive signal processing Z Palotai, A Lörincz US Patent 8,055,095, 2011	139	2011
Two‐Phase Computational Model Training Long‐Term Memories in the Entorhinal‐Hippocampal Region A Lörincz, G Buzsáki Annals of the New York Academy of Sciences 911 (1), 83-111, 2000	135	2000
Inferior temporal neurons show greater sensitivity to nonaccidental than to metric shape differences R Vogels, I Biederman, M Bar, A Lorincz Journal of Cognitive Neuroscience 13 (4), 444-453, 2001	128	2001
The many faces of optimism: a unifying approach I Szita, A Lőrincz Proceedings of the 25th international conference on Machine learning, 1048-1055, 2008	107	2008
Learning to play using low-complexity rule-based policies: Illustrations through Ms. Pac-Man I Szita, A Lõrincz Journal of Artificial Intelligence Research 30, 659-684, 2007	94	2007
Module-based reinforcement learning: Experiments with a real robot Z Kalmár, C Szepesvári, A Lőrincz Autonomous Robots 5, 273-295, 1998	92	1998
Shot‐noise‐limited detection scheme for two‐beam laser spectroscopies L Andor, A Lörincz, J Siemion, DD Smith, SA Rice Review of scientific instruments 55 (1), 64-67, 1984	83	1984
Optimal control of quantum systems by chirped pulses B Amstrup, JD Doll, RA Sauerbrey, G Szabó, A Lorincz Physical Review A 48 (5), 3830, 1993	80	1993
Online group-structured dictionary learning Z Szabó, B Póczos, A Lőrincz Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011	77	2011
3D shape estimation in video sequences provides high precision evaluation of facial expressions LSA Jeni, A Lőrincz, T Nagy, Z Palotai, J Sebők, Z Szabó, D Takács Image and Vision Computing 30 (10), 785-795, 2012	72	2012
Rotational state dependence of pyrazine fluorescence: Initial decays for the vibrationless 1B3u state A Lorincz, DD Smith, F Novak, R Kosloff, DJ Tannor, SA Rice The Journal of chemical physics 82 (3), 1067-1072, 1985	71	1985
Reinforcement learning with echo state networks I Szita, V Gyenes, A Lőrincz Artificial Neural Networks–ICANN 2006: 16th International Conference, Athens …, 2006	67	2006
Emerging artificial societies through learning N Gilbert, M Den Besten, A Bontovics, BGW Craenen, F Divina Journal of Artificial Societies and Social Simulation 9 (2), 2006	66	2006
Undercomplete blind subspace deconvolution Z Szabó, B Póczos, A Lőrincz Journal of Machine Learning Research 8 (May), 1063-1095, 2007	65	2007
Design and characterization of a windowless resonant photoacoustic chamber equipped with resonance locking circuitry GZ Angeli, Z Bozóki, A Miklós, A Lörincz, A Thöny, MW Sigrist Review of scientific instruments 62 (3), 810-813, 1991	62	1991
Windowless resonant acoustic chamber for laser-photoacoustic applications A Miklós, A Lörincz Applied Physics B 48, 213-218, 1989	61	1989
Emotional Expression Classification using Time-Series Kernels A Lorincz, LA Jeni, Z Szabo, JF Cohn, T Kanade Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE …, 2013	60	2013
Genetic algorithm with migration on topology conserving maps for optimal control of quantum systems B Amstrup, GJ Toth, G Szabo, H Rabitz, A Lőrincz Journal of Physical Chemistry 99 (14), 5206-5213, 1995	60	1995

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