Alexander Ororbia

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 58

Top Topics

Predictive Coding

Robotic Control

Top Venues

Publications

Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori
A Review of Neuroscience-Inspired Machine Learning. CoRR (2024)
Hitesh Vaidya, Travis Desell, Ankur Arjun Mali, Alexander Ororbia
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR (2024)
Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. Proc. ACM Comput. Graph. Interact. Tech. 7 (2) (2024)
Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR (2024)
Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. CoRR (2024)
Alexander Ororbia, Ankur Arjun Mali
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CogSci (2023)
Zimeng Lyu, Alexander Ororbia, Travis Desell
Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. 145 (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR (2023)
AbdElRahman A. ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell
Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR (2023)
Alexander Ororbia
Spiking neural predictive coding for continually learning from data streams. Neurocomputing 544 (2023)
Alexander Ororbia, Mary Alexandria Kelly
A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization. CoRR (2023)
Alexander Ororbia
Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process. CoRR (2023)
Alexander Ororbia, Ankur Arjun Mali
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA (2023)
Zimeng Lyu, Alexander Ororbia, Travis Desell
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR (2023)
Alexander Ororbia, Ankur Arjun Mali
The Predictive Forward-Forward Algorithm. CoRR (2023)
AbdElRahman A. ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. 147 (2023)
Alexander Ororbia, Ankur Arjun Mali
The Predictive Forward-Forward Algorithm. CogSci (2023)
Timothy Zee, Alexander Ororbia, Ankur Arjun Mali, Ifeoma Nwogu
A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. 2023 (2023)
Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR (2023)
Marcos Zampieri, Tharindu Ranasinghe, Diptanu Sarkar, Alexander Ororbia
Offensive language identification with multi-task learning. J. Intell. Inf. Syst. 60 (3) (2023)
Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR (2022)
Alexander Ororbia, Ankur Arjun Mali
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR (2022)
Camille Mince, Skye Rhomberg, Cecilia O. Alm, Reynold Bailey, Alexander Ororbia
Multimodal Modeling of Task-Mediated Confusion. NAACL-HLT (Student Research Workshop) (2022)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS (2022)
Alexander Ororbia, Matthew Alex Kelly
CogNGen: Building the Kernel for a Hyperdimensional Predictive Processing Cognitive Architecture. CogSci (2022)
Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan
Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC (2022)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR (2022)
Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander Ororbia
A Neural Active Inference Model of Perceptual-Motor Learning. CoRR (2022)
Alexander Ororbia, Matthew Alex Kelly
CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture. CoRR (2022)
Alexander Ororbia, Ankur Arjun Mali
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR (2022)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR (2021)
Alexander Ororbia, Ankur Arjun Mali
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI (2021)
Hitesh Vaidya, Travis Desell, Alexander Ororbia
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. CoRR (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI (2021)
Nikhil Kaushik, Reynold Bailey, Alexander Ororbia, Cecilia O. Alm
Eliciting Confusion in Online Conversational Tasks. ACII (Workshops and Demos) (2021)
Alexander Ororbia, Matthew A. Kelly
Towards a Predictive Processing Implementation of the Common Model of Cognition. CoRR (2021)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO (2020)
Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR (2020)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Alexander Ororbia, Daniel Kifer
The Neural Coding Framework for Learning Generative Models. CoRR (2020)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR (2020)
AbdElRahman A. ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
Continuous Ant-Based Neural Topology Search. CoRR (2020)
Alexander Ororbia, AbdElRahman A. ElSaid, Travis Desell
Investigating recurrent neural network memory structures using neuro-evolution. GECCO (2019)
Travis J. Desell, AbdElRahman A. ElSaid, Alexander Ororbia
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR (2019)
Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR (2019)
Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell
Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. CoRR (2019)
Alexander Ororbia
Spiking Neural Predictive Coding for Continual Learning from Data Streams. CoRR (2019)
Alexander Ororbia, Ankur Arjun Mali, Matthew A. Kelly, David Reitter
Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) (2019)
Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles
The Neural State Pushdown Automata. CoRR (2019)
Shikun Liu, C. Lee Giles, Alexander Ororbia
Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV (2018)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. CoRR (2018)
Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville
Piecewise Latent Variables for Neural Variational Text Processing. SPNLP@EMNLP (2017)
Xiao Yang, Dafang He, Wenyi Huang, Alexander Ororbia, Zihan Zhou, Daniel Kifer, C. Lee Giles
Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading. JCDL (2017)
Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles
Using Prerequisites to Extract Concept Maps fromTextbooks. CIKM (2016)
Xiao Yang, Dafang He, Wenyi Huang, Zihan Zhou, Alexander Ororbia, Dan Kifer, C. Lee Giles
Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading. CoRR (2016)
Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles
CiteSeerX: AI in a Digital Library Search Engine. AI Mag. 36 (3) (2015)
Zhaohui Wu, Jian Wu, Madian Khabsa, Kyle Williams, Hung-Hsuan Chen, Wenyi Huang, Suppawong Tuarob, Sagnik Ray Choudhury, Alexander Ororbia, Prasenjit Mitra, C. Lee Giles
Towards building a scholarly big data platform: Challenges, lessons and opportunities. JCDL (2014)
Jian Wu, Kyle Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles
CiteSeerX: AI in a Digital Library Search Engine. AAAI (2014)
Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles
Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. Feedback Computing (2014)