Alexander Ororbia

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Learning Simpler Language Models with the Differential State Framework

David Reitter, Tomas Mikolov, Alexander Ororbia, 2017, Neural Computation.

Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data pdf

Joshua Snoke, Alexander Ororbia, Fridolin Linder, 2016, ArXiv.

An Empirical Evaluation of Recurrent Neural Network Rule Extraction pdf

C. Lee Giles, Xinyu Xing, Alexander Ororbia, 2017, ArXiv.

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading pdf

Wenyi Huang, Zihan Zhou, Xiao Yang, 2016, ArXiv.

The neural coding framework for learning generative models pdf

Daniel Kifer, Alexander Ororbia, Daniel Kifer, 2020, Nature communications.

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

C. L. Giles, Daniel Kifer, Alexander Ororbia, 2019, 1905.10696.

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

C. L. Giles, Daniel Kifer, Alexander Ororbia, 2019, NeurIPS.

Maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture

Alexander Ororbia, M. Kelly, 2022, AGI.

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

Alexander Ororbia, A. Mali, 2022, ArXiv.

A Robust Backpropagation-Free Framework for Images

Alexander Ororbia, Ifeoma Nwogu, A. Mali, 2022, ArXiv.

Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images

Alexander Ororbia, A. Mali, 2022, ArXiv.

A neural active inference model of perceptual-motor learning

Reynold J. Bailey, Alexander Ororbia, B. Fajen, 2022, Frontiers in Computational Neuroscience.

The Predictive Forward-Forward Algorithm

Alexander Ororbia, A. Mali, 2023, ArXiv.

The neural coding framework for learning generative models

Daniel Kifer, Alexander Ororbia, 2020, Nature Communications.

Spiking Neural Predictive Coding for Continual Learning from Data Streams pdf

Alexander Ororbia, Alexander Ororbia, 2019, Neurocomputing.

Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2019, ArXiv.

Biologically Motivated Algorithms for Propagating Local Target Representations pdf

Alexander Ororbia, Ankur Mali, Alexander Ororbia, 2018, AAAI.

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, ArXiv.

Conducting Credit Assignment by Aligning Local Representations pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, 1803.01834.

Learning to Adapt by Minimizing Discrepancy pdf

David Reitter, C. Lee Giles, Patrick Haffner, 2017, ArXiv.

An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks

Xue Liu, C. Lee Giles, Xinyu Xing, 2017, Neural Computation.

Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks

C. L. Giles, Daniel Kifer, Jane Chandlee, 2021, ICGI.

The Neural State Pushdown Automata pdf

C. Lee Giles, Alexander Ororbia, Ankur Mali, 2019, ArXiv.

Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack pdf

Daniel Kifer, C. L. Giles, C. Lee Giles, 2020, ICGI.

Backprop-Free Reinforcement Learning with Active Neural Generative Coding pdf

Alexander Ororbia, Ankur Mali, Alexander Ororbia, 2021, AAAI.

Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution

Travis Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia, 2020, Deep Neural Evolution.

Continual Competitive Memory: A Neural System for Online Task-Free Lifelong Learning pdf

Alexander G. Ororbia, Alexander Ororbia, 2021, ArXiv.

Using Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users.

Joshua Snoke, Alexander G. Ororbia, Fridolin Linder, 2016 .

Learning a Hierarchical Latent-Variable Model of 3D Shapes

C. Lee Giles, Alexander Ororbia, Shikun Liu, 2017, 2018 International Conference on 3D Vision (3DV).

Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes pdf

C. Lee Giles, Alexander Ororbia, Shikun Liu, 2017, ArXiv.

A Neural Temporal Model for Human Motion Prediction

C. Lee Giles, Alexander Ororbia, Ankur Mali, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Defending Against Adversarial Samples Without Security through Obscurity

Wenbo Guo, Xue Liu, Lin Lin, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Learning Adversary-Resistant Deep Neural Networks pdf

Wenbo Guo, Xue Liu, C. Lee Giles, 2016, ArXiv.

Investigating recurrent neural network memory structures using neuro-evolution

Travis Desell, Alexander Ororbia, AbdElRahman ElSaid, 2019, GECCO.

CiteSeerX: AI in a Digital Library Search Engine

Cornelia Caragea, Prasenjit Mitra, Hung-Hsuan Chen, 2014, AI Mag..

Like a Baby: Visually Situated Neural Language Acquisition

David Reitter, Alexander G. Ororbia, Ankur Mali, 2018, ACL.

Visually Grounded, Situated Learning in Neural Models pdf

David Reitter, Alexander Ororbia, Ankur Mali, 2018, ArXiv.

A Comparative Study of Rule Extraction for Recurrent Neural Networks

Xue Liu, C. Lee Giles, Xinyu Xing, 2018, 1801.05420.

WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans

Marcos Zampieri, Alexander Ororbia, Tharindu Ranasinghe, 2021, SEMEVAL.

Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder

C. Lee Giles, Daniel Kifer, Alexander Ororbia, 2022, 2022 Data Compression Conference (DCC).

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units pdf

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2021, AAAI.

Adversary Resistant Deep Neural Networks with an Application to Malware Detection

Wenbo Guo, Xue Liu, C. Lee Giles, 2016, KDD.

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2016, ArXiv.

Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment pdf

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2020, ArXiv.

Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment.

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2020 .

Piecewise Latent Variables for Neural Variational Text Processing

Joelle Pineau, Aaron C. Courville, Alexander Ororbia, 2016, EMNLP.

Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting

Travis J. Desell, Alexander Ororbia, Zimeng Lyu, 2023, Applied Soft Computing.

Learned Neural Iterative Decoding for Lossy Image Compression Systems

Jian Wu, C. Lee Giles, David J. Miller, 2018, 2019 Data Compression Conference (DCC).

Learned Iterative Decoding for Lossy Image Compression Systems pdf

Jian Wu, C. Lee Giles, David J. Miller, 2018, ArXiv.

The Predictive Forward-Forward Algorithm

Alexander Ororbia, A. Mali, 2023, CogSci.

Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process

Alexander Ororbia, 2023, ArXiv.

Improving Label Quality by Jointly Modeling Items and Annotators pdf

Alexander G. Ororbia, Tharindu Cyril Weerasooriya, Christopher M. Homan, 2021, NLPerspectives@LREC.

FBERT: A Neural Transformer for Identifying Offensive Content pdf

Alexander Ororbia, Marcos Zampieri, Tharindu Ranasinghe, 2021, EMNLP.

Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images

Alexander Ororbia, A. Mali, 2022, ArXiv.

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

C. L. Giles, Alexander Ororbia, Ankur Mali, 2021, 2021 Data Compression Conference (DCC).

Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks

Wenbo Guo, Xue Liu, Gang Xiong, 2016, 1610.01934.

An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution

AbdElRahman ElSaid, Alexander G. Ororbia, Travis J. Desell, 2020, EvoApplications.

An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution pdf

Alexander G. Ororbia, Travis J. Desell, AbdElRahman A. ElSaid, 2019, ArXiv.

Learning Simpler Language Models with the Delta Recurrent Neural Network Framework pdf

David Reitter, Tomas Mikolov, Alexander Ororbia, 2017, ArXiv.

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

Zihan Zhou, Xiao Yang, Daniel Kifer, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity pdf

Xue Liu, C. Lee Giles, Xinyu Xing, 2018, ArXiv.

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search

Travis J. Desell, K. Ricanek, Alexander Ororbia, 2023, ArXiv.

Continuous Ant-Based Neural Topology Search pdf

Travis Desell, Alexander Ororbia, AbdElRahman ElSaid, 2020, EvoApplications.

CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture

Alexander Ororbia, M. Kelly, 2022, ArXiv.

Big Scholarly Data in CiteSeerX: Information Extraction from the Web

Madian Khabsa, C. Lee Giles, Alexander Ororbia, 2015, WWW.

Towards building a scholarly big data platform: Challenges, lessons and opportunities

Wenyi Huang, Zhaohui Wu, Hung-Hsuan Chen, 2014, IEEE/ACM Joint Conference on Digital Libraries.

CiteSeerX : Intelligent Information Extraction and Knowledge Creation from Web-Based Data

C. Lee Giles, Jian Wu, Alexander G. Ororbia, 2014 .

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search

Travis J. Desell, K. Ricanek, Alexander Ororbia, 2023, 2305.06715.

Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks

AbdElRahman ElSaid, Alexander G. Ororbia, Travis J. Desell, 2020, EvoApplications.

The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks pdf

Alexander G. Ororbia, Travis J. Desell, AbdElRahman A. ElSaid, 2019, ArXiv.

Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization

David Reitter, C. Lee Giles, Alexander Ororbia, 2015, ECML/PKDD.

Learning a Deep Hybrid Model for Semi-Supervised Text Classification

David Reitter, C. Lee Giles, Alexander Ororbia, 2015, EMNLP.

Using Prerequisites to Extract Concept Maps fromTextbooks

Zhaohui Wu, C. Lee Giles, Shuting Wang, 2016, CIKM.

Brain-Inspired Computational Intelligence via Predictive Coding

Rajesh P. N. Rao, Thomas Lukasiewicz, C. Buckley, 2023, ArXiv.

Backpropagation-Free Deep Learning with Recursive Local Representation Alignment

C. L. Giles, Daniel Kifer, Alexander Ororbia, 2023, AAAI.

Towards a Predictive Processing Implementation of the Common Model of Cognition pdf

Alexander Ororbia, Matthew A. Kelly, Alexander Ororbia, 2021, ArXiv.

ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries pdf

Hung-Hsuan Chen, C. Lee Giles, Alexander Ororbia, 2015, ArXiv.

Event Ordering with a Generalized Model for Sieve Prediction Ranking

Nathanael Chambers, David Reitter, Alexander Ororbia, 2017, IJCNLP.

WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans pdf

Marcos Zampieri, Tharindu Ranasinghe, Diptanu Sarkar, 2021, International Workshop on Semantic Evaluation.

Privacy Protection for Natural Language Records: Neural Generative Models for Releasing Synthetic Twitter Data

Joshua Snoke, Alexander G. Ororbia, Fridolin Linder, 2016 .

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

C. Lee Giles, Daniel Kifer, Alexander Ororbia, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Alexander Ororbia, A. Mali, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

L G ] 1 4 N ov 2 01 8 1 An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks

C. Lee Giles, Alexander Ororbia, Qinglong Wang, 2018 .

On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks

Daniel Kifer, Alexander Ororbia, A. Mali, 2023, ArXiv.

On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine

Daniel Kifer, Alexander Ororbia, A. Mali, 2023, ArXiv.

Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural Systems

Alexander Ororbia, 2023, 2303.18187.

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps

Travis J. Desell, Alexander Ororbia, Hitesh U. Vaidya, 2024, 2402.12465.

Unifying Adversarial Training Algorithms with Data Gradient Regularization

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2017, Neural Computation.