Alexander G. Ororbia II

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 49

Top Topics

Distributed Representations

Credit Assignment

Biologically Motivated

Lossy Image Compression

Top Venues

EvoApplications

Publications

Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz
Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. GECCO Companion (2024)
Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander G. Ororbia II
A neural active inference model of perceptual-motor learning. Frontiers Comput. Neurosci. 17 (2023)
Hong Yang, William Gebhardt, Alexander G. Ororbia II, Travis Desell
Predicted Embedding Power Regression for Large-Scale Out-of-Distribution Detection. CoRR (2023)
Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI (2023)
Alexander G. Ororbia II
Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment. CoRR (2023)
Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. DCC (2022)
Timothy Zee, Alexander G. Ororbia II, Ankur Arjun Mali, Ifeoma Nwogu
A Robust Backpropagation-Free Framework for Images. CoRR (2022)
Alexander G. Ororbia II, Matthew Alex Kelly
Maze Learning Using a Hyperdimensional Predictive Processing Cognitive Architecture. AGI (2022)
Alexander G. Ororbia II, Ankur Arjun Mali
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. AAAI (2022)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell
Continuous Ant-Based Neural Topology Search. EvoApplications (2021)
Tharindu Cyril Weerasooriya, Alexander G. Ororbia II, Christopher M. Homan
Improving Label Quality by Jointly Modeling Items and Annotators. CoRR (2021)
Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI (2021)
Ankur Arjun Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. DCC (2021)
AbdElRahman A. ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1 (3) (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC (2020)
AbdElRahman A. ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR (2020)
AbdElRahman A. ElSaid, Alexander G. Ororbia II, Travis J. Desell
Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications (2020)
Travis Desell, AbdElRahman A. ElSaid, Alexander G. Ororbia II
An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, Clyde Lee Giles
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. CoRR (2019)
AbdElRahman A. ElSaid, Alexander G. Ororbia II, Travis J. Desell
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR (2019)
Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
A Neural Temporal Model for Human Motion Prediction. CVPR (2019)
Sujit Pramod Khanna, Alexander G. Ororbia II
A Hybrid Algorithm for Metaheuristic Optimization. CoRR (2019)
Alexander G. Ororbia II, Ankur Arjun Mali
Biologically Motivated Algorithms for Propagating Local Target Representations. AAAI (2019)
Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles
Learned Neural Iterative Decoding for Lossy Image Compression Systems. DCC (2019)
Michael J. Mior, Alexander G. Ororbia II
Column2Vec: Structural Understanding via Distributed Representations of Database Schemas. CoRR (2019)
Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Conducting Credit Assignment by Aligning Local Representations. CoRR (2018)
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity. CoRR (2018)
Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing
Defending Against Adversarial Samples Without Security through Obscurity. ICDM (2018)
Alexander G. Ororbia II, Ankur Arjun Mali
Biologically Motivated Algorithms for Propagating Local Target Representations. CoRR (2018)
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Comput. 30 (9) (2018)
Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, David J. Miller, C. Lee Giles
Learned Iterative Decoding for Lossy Image Compression Systems. CoRR (2018)
Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter
Visually Grounded, Situated Learning in Neural Models. CoRR (2018)
Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
A Neural Temporal Model for Human Motion Prediction. CoRR (2018)
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD (2017)
Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. CVPR (2017)
Bill McDowell, Nathanael Chambers, Alexander G. Ororbia II, David Reitter
Event Ordering with a Generalized Model for Sieve Prediction Ranking. IJCNLP(1) (2017)
Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville
Piecewise Latent Variables for Neural Variational Text Processing. EMNLP (2017)
Alexander G. Ororbia II, Tomás Mikolov, David Reitter
Learning Simpler Language Models with the Delta Recurrent Neural Network Framework. CoRR (2017)
Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
An Empirical Evaluation of Recurrent Neural Network Rule Extraction. CoRR (2017)
Alexander G. Ororbia II, Tomás Mikolov, David Reitter
Learning Simpler Language Models with the Differential State Framework. Neural Comput. 29 (12) (2017)
Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Unifying Adversarial Training Algorithms with Data Gradient Regularization. Neural Comput. 29 (4) (2017)
Shikun Liu, Alexander G. Ororbia II, C. Lee Giles
Learning a Hierarchical Latent-Variable Model of Voxelized 3D Shapes. CoRR (2017)
Alexander G. Ororbia II, Patrick Haffner, David Reitter, C. Lee Giles
Learning to Adapt by Minimizing Discrepancy. CoRR (2017)
Alexander G. Ororbia II, Fridolin Linder, Joshua Snoke
Privacy Protection for Natural Language: Neural Generative Models for Synthetic Text Data. CoRR (2016)
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu
Learning Adversary-Resistant Deep Neural Networks. CoRR (2016)
Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville
Multi-modal Variational Encoder-Decoders. CoRR (2016)
Alexander G. Ororbia II, C. Lee Giles, Daniel Kifer
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization. CoRR (2016)
Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR (2016)
Alexander G. Ororbia II, Yang Xu, Vito D'Orazio, David Reitter
Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information. SBP (2015)
Alexander G. Ororbia II, David Reitter, Jian Wu, C. Lee Giles
Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization. ECML/PKDD (1) (2015)
Alexander G. Ororbia II, C. Lee Giles, David Reitter
Learning a Deep Hybrid Model for Semi-Supervised Text Classification. EMNLP (2015)
Hung-Hsuan Chen, Alexander G. Ororbia II, C. Lee Giles
ExpertSeer: a Keyphrase Based Expert Recommender for Digital Libraries. CoRR (2015)
Alexander G. Ororbia II, C. Lee Giles, David Reitter
Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders. CoRR (2015)
Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles
Big Scholarly Data in CiteSeerX: Information Extraction from the Web. WWW (Companion Volume) (2015)