András Lörincz

András Lörincz, István Varga, Tamás Tettamanti, 2015, 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

Separation theorem for independent subspace analysis and its consequences

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2012, Pattern Recognit..

Kalman-filtering using local interactions

Barnabás Póczos, András Lörincz, A. Lörincz, 2003, ArXiv.

Cost Component Analysis

Barnabás Póczos, András Lörincz, B. Póczos, 2003, Int. J. Neural Syst..

Auto-regressive independent process analysis without combinatorial efforts

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2010, Pattern Analysis and Applications.

Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs pdf

András Lörincz, István Szita, I. Szita, 2006, ArXiv.

Genetic Algorithm with Migration on Topology Conserving Maps

András Lörincz, Gábor J. Tóth, 1993 .

Automated Word Puzzle Generation via Topic Dictionaries pdf

András Lörincz, Zoltán Szabó, Gyula Vörös, 2012, ICML 2012.

Cross-Entropy Optimization for Independent Process Analysis

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2006, ICA.

Modular Reinforcement Learning: A Case Study in a Robot Domain

András Lörincz, Csaba Szepesvári, Zsolt Kalmár, 2000, Acta Cybern..

Independent Subspace Analysis Using k-Nearest Neighborhood Distances

Barnabás Póczos, András Lörincz, A. Lörincz, 2005, ICANN.

Value prediction in hls allocation problems using intellectual properties

András Lörincz, Zsolt Palotai, T. Kandár, 2002, Appl. Artif. Intell..

Anonymity and accountability in self-organizing electronic communities

András Lörincz, Csilla Farkas, Gábor Ziegler, 2002, WPES '02.

Emerging Artificial Societies Through Learning

Ben Paechter, Matthijs den Besten, Federico Divina, 2006, J. Artif. Soc. Soc. Simul..

Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops

András Lörincz, Csaba Szepesvári, György Hévízi, 2001, Int. J. Neural Syst..

Winner-Take-All Network Utilising Pseudoinverse Reconstruction Subnets Demonstrates Robustness on the Handprinted Character Recognition Problem

András Lörincz, Gyula Kovács, J. Körmendy-Rácz, 1999, Neural Computing & Applications.

Self-organized formation of a set of scaling filters and their neighbouring connections

András Lörincz, László Balázs, Tamás Rozgonyi, 2004, Biological Cybernetics.

Absolute Human Pose Estimation with Depth Prediction Network

András Lörincz, Márton Véges, András Lörincz, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

LNCS 4131 - Critical Echo State Networks

András Lörincz, Marton Albert Hajnal, 2006 .

Group k-Sparse Temporal Convolutional Neural Networks: Unsupervised Pretraining for Video Classification

Barnabás Póczos, András Lörincz, Zoltán Ádám Milacski, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Forming independent components via temporal locking of reconstruction architectures: a functional model of the hippocampus

András Lörincz, A. Lörincz, 1998, Biological Cybernetics.

Efficient Sparse Coding in Early Sensory Processing: Lessons from Signal Recovery

András Lörincz, Zsolt Palotai, Gábor Szirtes, 2012, PLoS Comput. Biol..

Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding

András Lörincz, Zoltán Szabó, Gyula Vörös, 2013, ICPRAM.

The many faces of optimism - Extended version pdf

András Lörincz, István Szita, 2008, ArXiv.

D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks pdf

Barnabás Póczos, András Lörincz, A. Lörincz, 2008, ArXiv.

Generative network explains category formation in Alzheimer patients

György Kovács, András Lörincz, Peter Aszalos, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Integration of Artificial Neural Networks and Dynamic Concepts to an Adaptive and Self-Organizing Agent

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1993 .

Distributed high dimensional information theoretical image registration via random projections pdf

András Lörincz, Zoltán Szabó, Z. Szabó, 2012, Digit. Signal Process..

Event-learning and robust policy heuristics

András Lörincz, István Szita, Imre Pólik, 2003, Cognitive Systems Research.

Undercomplete Blind Subspace Deconvolution

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2007, J. Mach. Learn. Res..

European Conference on Complex Systems 2007. Editorial.

Dirk Helbing, András Lörincz, Jürgen Jost, 2008, Theory in biosciences = Theorie in den Biowissenschaften.

VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing

Barnabás Póczos, András Lörincz, Zoltán Ádám Milacski, 2020, ICML.

InfoMax Bayesian Learning of the Furuta Pendulum

András Lörincz, László A. Jeni, György Flórea, 2008, Acta Cybern..

Model Based Augmentation and Testing of an Annotated Hand Pose Dataset

Vincent Lepetit, Daniel Sonntag, András Lörincz, 2016, KI.

The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification

András Lörincz, Zoltan Toser, Z. Tősér, 2015, AGI.

An integrated architecture for motion-control and path-planning

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1998, J. Field Robotics.

Here and now: How time segments may become events in the hippocampus

András Lörincz, Gábor Szirtes, G. Szirtes, 2009, Neural Networks.

Factored Value Iteration Converges pdf

András Lörincz, István Szita, 2008, Acta Cybern..

Selection in Scale-Free Small World

András Lörincz, Csilla Farkas, Zsolt Palotai, 2005, CEEMAS.

Estimating Cartesian Compression via Deep Learning

András Lörincz, Zoltán Tosér, Zoltán Ádám Milacski, 2016, AGI.

Collaborative Filtering via Group-Structured Dictionary Learning

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2012, LVA/ICA.

Cognitive Deep Machine Can Train Itself pdf

András Lörincz, Zoltán Tosér, Zoltán Ádám Milacski, 2016, ArXiv.

Neural network formalization of the Hungarian party-state system

András Lörincz, M. Csanádi, A. Lörincz, 1992 .

Topology Learning Solved by Extended Objects: A Neural Network Model

András Lörincz, Csaba Szepesvári, László Balázs, 1994, Neural Computation.

Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1993, Adapt. Behav..

A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation

András Lörincz, M. Oláh, P. Masa, 1997, ICANN.

Topology Learning Solved by Extended Objects: A Neural Network Model

András Lörincz, Csaba Szepesvári, 1993 .

On eco-foraging systems

Erzsébet Csuhaj-Varjú, András Lörincz, Katalin Anna Lázár, 2010 .

Robust hierarchical image representation using non-negative matrix factorization with sparse code shrinkage preprocessing

András Lörincz, Botond Szatmáry, Gábor Szirtes, 2003 .

Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction

András Lörincz, A. Lörincz, 1997, ICANN.

The many faces of optimism: a unifying approach

András Lörincz, István Szita, I. Szita, 2008, ICML '08.

Peer-to-Peer Networks: A Language Theoretic Approach

Erzsébet Csuhaj-Varjú, András Lörincz, Katalin Anna Lázár, 2008, Comput. Informatics.

Non-combinatorial estimation of independent autoregressive sources

Barnabás Póczos, András Lörincz, B. Póczos, 2006, Neurocomputing.

Post Nonlinear Independent Subspace Analysis

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2007, ICANN.

PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities

András Lörincz, István Szita, I. Szita, 2006, Neurocomputing.

Decision Making Agent Searching for Markov Models in Near-Deterministic World pdf

András Lörincz, Gabor Matuz, 2011, ArXiv.

Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation

András Lörincz, Tibor Fomin, Stephane Tavitian, 1996, ICANN.

Online group-structured dictionary learning

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2011, CVPR 2011.

Autoregressive model of the hippocampal representation of events

András Lörincz, Gábor Szirtes, A. Lörincz, 2009, 2009 International Joint Conference on Neural Networks.

Static and Dynamic State Feedback Control Model of Basal Ganglia-Thalamocortical Loops

András Lörincz, András Lörincz, 1997, Int. J. Neural Syst..

Event-learning with a non-Markovian controller

András Lörincz, Bálint Takács, Istvan Szita, 2002 .

LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos

Daniel Sonntag, András Lörincz, Takumi Toyama, 2014, 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI).

Module-Based Reinforcement Learning: Experiments with a Real Robot

András Lörincz, Csaba Szepesvári, Zsolt Kalmár, 1998, Auton. Robots.

Module Based Reinforcement Learning: An Application to a Real Robot

András Lörincz, Csaba Szepesvári, Zsolt Kalmár, 1997, EWLR.

Hebbian Constraint on the Resolution of the Homunculus Fallacy Leads to a Network that Searches for Hidden Cause-Effect Relationships

András Lörincz, 2009 .

3D shape estimation in video sequences provides high precision evaluation of facial expressions

András Lörincz, Zoltán Szabó, László A. Jeni, 2012, Image Vis. Comput..

Kalman filter control in the reinforcement learning framework

András Lörincz, István Szita, I. Szita, 2003, ArXiv.

Co-learning and the Development of Communication

András Lörincz, Viktor Gyenes, 2007, ICANN.

Analysis and compensation of oscillations in digitally controlled PFC converter

András Lörincz, Peter Stumpf, István Nagy, 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

Overview of the CPS for Smart Factories Project: Deep Learning, Knowledge Acquisition, Anomaly Detection and Intelligent User Interfaces

Daniel Sonntag, Sonja Zillner, Patrick van der Smagt, 2017 .

Searching for Plannable Domains can Speed up Reinforcement Learning

András Lörincz, Bálint Takács, István Szita, 2002, ArXiv.

Explaining Unintelligible Words by Means of their Context

András Lörincz, Zoltán Szabó, Gyula Vörös, 2013, ICPRAM.

Editorial

Dirk Helbing, András Lörincz, Jürgen Jost, 1959, Theory in biosciences.

Genetic algorithm with alphabet optimization

András Lörincz, Gábor J. Tóth, Szabolcs Kovács, 1995, Biological Cybernetics.

Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition

András Lörincz, Áron Fóthi, Viktor Varga, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks

András Lörincz, Bálint Takács, Gábor Szirtes, 2000, NCPW.

Attentional filtering in neocortical areas: a top-down model

András Lörincz, 2005, Neurocomputing.

Improving recognition accuracy on structured documents by learning structural patterns

András Lörincz, György Hévízi, T. Marcinkovics, 2004, Pattern Analysis and Applications.

Erratum

András Lörincz, István Szita, 2007, Neural Computation.

MDPs: Learning in Varying Environments

András Lörincz, Bálint Takács, István Szita, 2003, J. Mach. Learn. Res..

Independent Component Analysis of Temporal Sequences Subject to Constraints by Lateral Geniculate Nucleus Inputs Yields All the Three Major Cell Types of the Primary Visual Cortex

András Lörincz, Botond Szatmáry, A. Lörincz, 2001, Journal of Computational Neuroscience.

E and robust policy heuristics

Vasant Honavar, András Lörincz, Imre Pólik, 2003 .

Towards a unified model of cortical computation II: From control architecture to a model of consciousness

András Lörincz, 1997 .

Revolution in Health and Wellbeing

András Lörincz, 2015, KI - Künstliche Intelligenz.

Maintain and Improve Mental Health by Smart Virtual Reality Serious Games

Daniel Sonntag, András Lörincz, Zoltán Tosér, 2015, MindCare.

Approximate geometry representations and sensory fusion

András Lörincz, Csaba Szepesvári, Csaba Szepesvari, 1996, Neurocomputing.

Robust Detection of Anomalies via Sparse Methods

Patrick van der Smagt, András Lörincz, Zoltán Ádám Milacski, 2015, ICONIP.

Reinforcement Learning with Echo State Networks

András Lörincz, Viktor Gyenes, István Szita, 2006, ICANN.

Learning the States: A Brain Inspired Neural Model

András Lörincz, András Lörincz, 2011, AGI.

Independent component analysis of temporal sequences forms place cells

András Lörincz, György Buzsáki, Bálint Takács, 2001, Neurocomputing.

Optimistic initialization and greediness lead to polynomial time learning in factored MDPs pdf

András Lörincz, István Szita, I. Szita, 2009, ICML '09.

Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences

András Lörincz, Ata Kabán, Botond Szatmáry, 2001, Neurocomputing.

Relating Priming and Repetition Suppression

András Lörincz, Rufin Vogels, Irving Biederman, 2002, Int. J. Neural Syst..

Spike-based cross-entropy method for reconstruction

András Lörincz, Zsolt Palotai, Gábor Szirtes, 2008, Neurocomputing.

ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks

András Lörincz, Zoltán Szabó, Z. Szabó, 2006, Acta Cybern..

AGI Architecture Measures Human Parameters and

András Lörincz, Daniel Takacs, 2011 .

Emotional Expression Classification Using Time-Series Kernels

Takeo Kanade, András Lörincz, Jeffrey F. Cohn, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

Critical Echo State Networks

András Lörincz, Márton Albert Hajnal, András Lörincz, 2006, ICANN.

Assisting Robotic Personal Agent and Cooperating Alternative Input Devices for Severely Disabled Children

András Lörincz, György Hévízi, B. Geröfi, 2005, CEEMAS.

Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man

András Lörincz, István Szita, I. Szita, 2007, J. Artif. Intell. Res..

Towards reasoning based representations: Deep Consistence Seeking Machine

András Lörincz, Zoltán Ádám Milacski, Zoltan Toser, 2018, Cognitive Systems Research.

Centralized reward system gives rise to fast and efficient work sharing for intelligent Internet agents lacking direct communication

András Lörincz, Zsolt Palotai, Sándor Mandusitz, 2003, ArXiv.

Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis

Daniel Sonntag, András Lörincz, Gyula Vörös, 2014, AAAI Fall Symposia.

On-body multi-input indoor localization for dynamic emergency scenarios: fusion of magnetic tracking and optical character recognition with mixed-reality display

Daniel Sonntag, András Lörincz, Takumi Toyama, 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

A framework for anonymous but accountable self-organizing communities

András Lörincz, Csilla Farkas, Gábor Ziegler, 2006, Inf. Softw. Technol..

Independent Process Analysis Without a Priori Dimensional Information

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2007, ICA.

Reinforcement Learning Integrated with a Non-Markovian Controller

András Lörincz, Bálint Takács, István Szita, 2002, ECAI.

Sparse and silent coding in neural circuits

András Lörincz, Zsolt Palotai, Gábor Szirtes, 2010, Neurocomputing.

Dynamically formed Clusters of Agents in Eco-Grammar Systems

Erzsébet Csuhaj-Varjú, András Lörincz, György Vaszil, 2009, Int. J. Found. Comput. Sci..

Hippocampal Formation Breaks Combinatorial Explosion for Reinforcement Learning: A Conjecture

András Lörincz, 2008, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.

Deep Learning for Facial Action Unit Detection Under Large Head Poses

András Lörincz, Jeffrey F. Cohn, László A. Jeni, 2016, ECCV Workshops.

Value Prediction in Engineering Applications

Tibor Cinkler, András Lörincz, Zsolt Palotai, 2001, IEA/AIE.

Learning Tetris Using the Noisy Cross-Entropy Method

András Lörincz, István Szita, I. Szita, 2006, Neural Computation.

High quality facial expression recognition in video streams using shape related information only

András Lörincz, László A. Jeni, Dániel Takács, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Undercomplete Blind Subspace Deconvolution Via Linear Prediction

Barnabás Póczos, András Lörincz, Zoltán Szabó, 2007, ECML.

Ockham's Razor at Work: Modeling of the ``Homunculus''

Barnabás Póczos, András Lörincz, Bálint Takács, 2002 .

Independent subspace analysis using geodesic spanning trees

Barnabás Póczos, András Lörincz, B. Póczos, 2005, ICML.

Reinforcement Learning with Linear Function Approximation and LQ control Converges

András Lörincz, István Szita, I. Szita, 2003, ArXiv.

Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa

András Lörincz, Ákos Bontovics, Balázs Pintér, 2009, ALA.

Online variants of the cross-entropy method pdf

András Lörincz, István Szita, I. Szita, 2008, ArXiv.

Self-Organizing Multi-Resolution Grid for Motion Planning and Control

András Lörincz, Csaba Szepesvári, Tamás Rozgonyi, 1996, Int. J. Neural Syst..

Controlled Complete ARMA Independent Process Analysis

András Lörincz, Zoltán Szabó, Z. Szabó, 2009, 2009 International Joint Conference on Neural Networks.

Intelligent High-Performance Crawlers Used to Reveal Topic-Specific Structure of WWW

András Lörincz, Attila Meretei, István Kókai, 2002, Int. J. Found. Comput. Sci..

Independent Subspace Analysis on Innovations

Barnabás Póczos, András Lörincz, Bálint Takács, 2005, ECML.

Intelligent encoding and economical communication in the visual stream

András Lörincz, 2004, ArXiv.

Applying Policy Iteration for Training Recurrent Neural Networks

András Lörincz, István Szita, 2004, ArXiv.

Neurocontroller using dynamic state feedback for compensatory control

András Lörincz, Csaba Szepesvári, Szabolcs Cimmer, 1997, Neural Networks.

Module-Based Reinforcement Learning: Experiments with a Real Robot

András Lörincz, Csaba Szepesvári, Zsolt Kalmár, 1998, Machine Learning.

Controlled hierarchical filtering: Model of neocortical sensory processing

András Lörincz, András Lörincz, 2003, ArXiv.

Computational model of the entorhinal-hippocampal region derived from a single principle

András Lörincz, György Buzsáki, G. Buzsáki, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

3D Human Pose Estimation with Siamese Equivariant Embedding

András Lörincz, Márton Véges, Viktor Varga, 2018, Neurocomputing.

The Mystery of Structure and Function of Sensory Processing Areas of the Neocortex: A Resolution

András Lörincz, Botond Szatmáry, Gábor Szirtes, 2002, Journal of Computational Neuroscience.

Temporal plannability by variance of the episode length

András Lörincz, Bálint Takács, István Szita, 2003, ArXiv.

Neural Kalman filter

Barnabás Póczos, András Lörincz, Gábor Szirtes, 2005, Neurocomputing.

Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles

András Lörincz, Zoltán Szabó, Z. Szabó, 2009, ICA.

Fast adapting value estimation-based hybrid architecture for searching the world-wide web

András Lörincz, István Kókai, A. Lörincz, 2002, Appl. Soft Comput..

Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms

Barnabás Póczos, András Lörincz, Julian Eggert, 2002, ECAI.

Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People

András Lörincz, Márton Véges, András Lörincz, 2020, ICONIP.

Simple conditions for forming triangular grids

András Lörincz, Bálint Takács, B. Takács, 2007, Neurocomputing.

AGI Architecture Measures Human Parameters and Optimizes Human Performance

András Lörincz, Dániel Takács, András Lörincz, 2011, AGI.

Computer study of the evolution of 'news foragers' on the Internet

András Lörincz, Zsolt Palotai, Sándor Mandusitz, 2006, Swarm Intelligence in Data Mining.

Fine-tuning deep CNN models on specific MS COCO categories pdf

Daniel Sonntag, András Lörincz, Michael Barz, 2017, ArXiv.

Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'

András Lörincz, Zoltán Szabó, Z. Szabó, 2007, Acta Cybern..

Enhancing Crowdsourced Applications via Incorporated Practice Sessions

András Lörincz, Kinga Bettina Faragó, Zoltán Ádám Milacski, 2015, GamifIR@ECIR.

L1 regularization is better than L2 for learning and predicting chaotic systems

András Lörincz, Zoltán Szabó, Z. Szabó, 2004, ArXiv.

Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses

András Lörincz, Viktor Gyenes, Bálint Gábor, 2005, PKDD.

Complex Independent Process Analysis

András Lörincz, Zoltán Szabó, Z. Szabó, 2009, Acta Cybern..