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The neural coding framework for learning generative models

Nature communications, 2022-04, Vol.13 (1), p.2064-2064, Article 2064

2022

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Learning Simpler Language Models with the Differential State Framework

Neural computation, 2017-12, Vol.29 (12), p.3327-3352

2017

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An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks

Neural computation, 2018-09, Vol.30 (9), p.2568-2591

2018

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Unifying Adversarial Training Algorithms with Data Gradient Regularization

Neural computation, 2017-04, Vol.29 (4), p.867-887

2017

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Spiking neural predictive coding for continually learning from data streams

Neurocomputing (Amsterdam), 2023-08, Vol.544, p.126292, Article 126292

Ororbia, Alexander

2023

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A neural active inference model of perceptual-motor learning

Frontiers in computational neuroscience, 2023-02, Vol.17, p.1099593-1099593

2023

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Maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture

Artificial General Intelligence, p.321-331

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Online evolutionary neural architecture search for multivariate non-stationary time series forecasting

Applied soft computing, 2023-09, Vol.145 (C), p.110522, Article 110522

2023

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A Neural State Pushdown Automata

IEEE transactions on artificial intelligence, 2020-12, Vol.1 (3), p.193-205

2020

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Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

IEEE transaction on neural networks and learning systems, 2020-10, Vol.31 (10), p.4267-4278

2020

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Learning a Hierarchical Latent-Variable Model of 3D Shapes

2018 International Conference on 3D Vision (3DV), 2018, p.542-551

2018

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A Neural Temporal Model for Human Motion Prediction

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.12108-12117

2019

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Backpropagation-free 4D continuous ant-based neural topology search

Applied soft computing, 2023-11, Vol.147, p.110737, Article 110737

2023

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An active inference model of anticipation in locomotor interception

Journal of vision (Charlottesville, Va.), 2022-12, Vol.22 (14), p.4027

2022

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Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.474-483

2017

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An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems

2021 Data Compression Conference (DCC), 2021, p.356-356

2021

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Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems

Proceedings of the ACM on computer graphics and interactive techniques, 2024-05, Vol.7 (2), p.1-17, Article 25

2024

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CiteSeerX: AI in a Digital Library Search Engine

The AI magazine, 2015-09, Vol.36 (3), p.35-48

2015

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Continuous Ant-Based Neural Topology Search

Applications of Evolutionary Computation, p.291-306

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Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems

2023 IEEE International Conference on Robotics and Automation (ICRA), 2023, p.3015-3021

2023

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An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution

Applications of Evolutionary Computation, p.546-561

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Neuro-Evolutionary Transfer Learning Through Structural Adaptation

Applications of Evolutionary Computation, p.610-625

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Adversary Resistant Deep Neural Networks with an Application to Malware Detection

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017, p.1145-1153

2017

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Coordinated Local Learning Algorithms for Continuously Adaptive Neural Systems

Ororbia, Alexander G

2018

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Investigating recurrent neural network memory structures using neuro-evolution

Proceedings of the Genetic and Evolutionary Computation Conference, 2019, p.446-455

2019

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The neural coding framework for learning generative models

Learning Simpler Language Models with the Differential State Framework

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks

Unifying Adversarial Training Algorithms with Data Gradient Regularization

Spiking neural predictive coding for continually learning from data streams

A neural active inference model of perceptual-motor learning

Maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture

Online evolutionary neural architecture search for multivariate non-stationary time series forecasting

A Neural State Pushdown Automata

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Learning a Hierarchical Latent-Variable Model of 3D Shapes

A Neural Temporal Model for Human Motion Prediction

Backpropagation-free 4D continuous ant-based neural topology search

An active inference model of anticipation in locomotor interception

Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild

An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems

Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems

CiteSeerX: AI in a Digital Library Search Engine

Continuous Ant-Based Neural Topology Search

Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems

An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution

Neuro-Evolutionary Transfer Learning Through Structural Adaptation

Adversary Resistant Deep Neural Networks with an Application to Malware Detection

Coordinated Local Learning Algorithms for Continuously Adaptive Neural Systems

Investigating recurrent neural network memory structures using neuro-evolution

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