Alexander Ororbia

77 papers A* 4A 3B 4Journal 54Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on neuro-mimetic deep learning via predictive coding. Neural Networks Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2026	J	`jnl`	Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models. CoRR Hong Yang, Devroop Kar, Qi Yu, Travis Desell, Alexander Ororbia
2026	J	`jnl`	Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling. CoRR Viet Dung Nguyen, Mobina Ghorbaninejad, Chengyi Ma, Reynold Bailey, Gabriel J. Diaz, Alexander Fix, Ryan J. Suess, Alexander Ororbia
2026	J	`jnl`	Formulating Reinforcement Learning for Human-Robot Collaboration through Off-Policy Evaluation. CoRR Saurav Singh, Rodney Sanchez, Alexander Ororbia, Jamison Heard
2026	J	`jnl`	Predictive coding with spiking neural networks: A survey. Neural Networks Antony W. N'Dri, William Gebhardt, Céline Teulière, Fleur Zeldenrust, Rajesh P. N. Rao, Jochen Triesch, Alexander Ororbia
2025	J	`jnl`	Avoiding Death through Fear Intrinsic Conditioning. CoRR Rodney Sanchez, Ferat Sahin, Alexander Ororbia, Jamison Heard
2025	J	`jnl`	Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay. CoRR Pujan Thapa, Alexander Ororbia, Travis Desell
2025	J	`jnl`	Directly Learning Stock Trading Strategies Through Profit Guided Loss Functions. CoRR Devroop Kar, Zimeng Lyu, Sheeraja Rajakrishnan, Hao Zhang, Alexander Ororbia, Travis Desell, Daniel E. Krutz
2025	J	`jnl`	Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays. CoRR Marissa Dominijanni, Alexander Ororbia, Kenneth W. Regan
2025	J	`jnl`	Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning. CoRR Alexander Ororbia, Karl J. Friston, Rajesh P. N. Rao
2025	B	`conf`	Minimally Supervised Regression using Topological Projections in Self-Organizing Maps. IJCNN Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
2025	A*	`conf`	SR-AIF: Solving Sparse-Reward Robotic Tasks From Pixels with Active Inference and World Models. ICRA Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley, Alexander Ororbia
2024	J	`jnl`	A Review of Neuroscience-Inspired Machine Learning. CoRR Alexander Ororbia, Ankur Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori
2024	J	`jnl`	Contrastive Learning in Memristor-based Neuromorphic Systems. CoRR Cory E. Merkel, Alexander Ororbia
2024	J	`jnl`	Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. CoRR Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia
2024	J	`jnl`	Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems. Proc. ACM Comput. Graph. Interact. Tech. Viet Dung Nguyen, Reynold Bailey, Gabriel J. Diaz, Chengyi Ma, Alexander Fix, Alexander Ororbia
2024	J	`jnl`	Minimally Supervised Learning using Topological Projections in Self-Organizing Maps. CoRR Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell
2024	J	`jnl`	Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR Hitesh Vaidya, Travis Desell, Ankur Mali, Alexander Ororbia
2024	J	`jnl`	R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models. CoRR Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley, Alexander Ororbia
2024	J	`jnl`	Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks. CoRR Ankur Mali, Tommaso Salvatori, Alexander Ororbia
2023	J	`jnl`	A Neuro-Mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization. CoRR Alexander Ororbia, Mary Alexandria Kelly
2023	J	`jnl`	A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. Timothy Zee, Alexander Ororbia, Ankur Mali, Ifeoma Nwogu
2023	A*	`conf`	Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA Alexander Ororbia, Ankur Mali
2023	J	`jnl`	Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. AbdElRahman ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Brain-Inspired Computational Intelligence via Predictive Coding. CoRR Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2023	B	`conf`	Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CogSci Alexander Ororbia, Ankur A. Mali
2023	—	`conf`	Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. ACL (Findings) Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan
2023	J	`jnl`	Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process. CoRR Alexander Ororbia
2023	J	`jnl`	Offensive language identification with multi-task learning. J. Intell. Inf. Syst. Marcos Zampieri, Tharindu Ranasinghe, Diptanu Sarkar, Alexander Ororbia
2023	J	`jnl`	On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2023	J	`jnl`	On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2023	J	`jnl`	Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting. CoRR Zimeng Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Online evolutionary neural architecture search for multivariate non-stationary time series forecasting. Appl. Soft Comput. Zimeng Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Spiking neural predictive coding for continually learning from data streams. Neurocomputing Alexander Ororbia
2023	B	`conf`	The Predictive Forward-Forward Algorithm. CogSci Alexander Ororbia, Ankur A. Mali
2023	J	`jnl`	The Predictive Forward-Forward Algorithm. CoRR Alexander Ororbia, Ankur Mali
2022	J	`jnl`	A Neural Active Inference Model of Perceptual-Motor Learning. CoRR Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander Ororbia
2022	J	`jnl`	Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR Alexander Ororbia, Ankur Mali
2022	J	`jnl`	An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2022	B	`conf`	CogNGen: Building the Kernel for a Hyperdimensional Predictive Processing Cognitive Architecture. CogSci Alexander Ororbia, M. Alex Kelly
2022	J	`jnl`	CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture. CoRR Alexander Ororbia, M. Alex Kelly
2022	J	`jnl`	Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR Alexander Ororbia, Ankur Mali
2022	—	`conf`	Improving Label Quality by Jointly Modeling Items and Annotators. NLPerspectives@LREC Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan
2022	A*	`conf`	Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer
2022	—	`conf`	Multimodal Modeling of Task-Mediated Confusion. NAACL-HLT (Student Research Workshop) Camille Mince, Skye Rhomberg, Cecilia O. Alm, Reynold Bailey, Alexander Ororbia
2022	J	`jnl`	Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	J	`jnl`	Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR Alexander Ororbia, Ankur Mali
2021	—	`conf`	Eliciting Confusion in Online Conversational Tasks. ACII (Workshops and Demos) Nikhil Kaushik, Reynold Bailey, Alexander Ororbia, Cecilia O. Alm
2021	—	`conf`	Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	—	`conf`	Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	J	`jnl`	Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
2021	J	`jnl`	Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay. CoRR Hitesh Vaidya, Travis Desell, Alexander Ororbia
2021	J	`jnl`	Towards a Predictive Processing Implementation of the Common Model of Cognition. CoRR Alexander Ororbia, M. Alex Kelly
2020	J	`jnl`	Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer
2020	J	`jnl`	Continuous Ant-Based Neural Topology Search. CoRR AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
2020	A	`conf`	Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
2020	J	`jnl`	Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR Ankur Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles
2020	J	`jnl`	Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR Alexander Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles
2020	J	`jnl`	The Neural Coding Framework for Learning Generative Models. CoRR Alexander Ororbia, Daniel Kifer
2019	J	`jnl`	An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia
2019	J	`jnl`	Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution. CoRR Alexander Ororbia, Ahmed Ahmed Elsaid, Travis Desell
2019	A	`conf`	Investigating recurrent neural network memory structures using neuro-evolution. GECCO Alexander Ororbia, AbdElRahman ElSaid, Travis Desell
2019	J	`jnl`	Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR Alexander Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles
2019	—	`conf`	Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) Alexander Ororbia, Ankur Mali, Mary Alexandria Kelly, David Reitter
2019	J	`jnl`	Spiking Neural Predictive Coding for Continual Learning from Data Streams. CoRR Alexander Ororbia
2019	J	`jnl`	The Neural State Pushdown Automata. CoRR Ankur Mali, Alexander Ororbia, C. Lee Giles
2018	—	`conf`	Learning a Hierarchical Latent-Variable Model of 3D Shapes. 3DV Shikun Liu, C. Lee Giles, Alexander Ororbia
2018	J	`jnl`	Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. CoRR Alexander Ororbia, Ankur Mali, C. Lee Giles, Daniel Kifer
2017	—	`conf`	Piecewise Latent Variables for Neural Variational Text Processing. SPNLP@EMNLP Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville
2017	—	`conf`	Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading. JCDL Xiao Yang, Dafang He, Wenyi Huang, Alexander Ororbia, Zihan Zhou, Daniel Kifer, C. Lee Giles
2016	J	`jnl`	Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading. CoRR Xiao Yang, Dafang He, Wenyi Huang, Zihan Zhou, Alexander Ororbia, Dan Kifer, C. Lee Giles
2016	A	`conf`	Using Prerequisites to Extract Concept Maps fromTextbooks. CIKM Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles
2015	J	`jnl`	CiteSeerX: AI in a Digital Library Search Engine. AI Mag. Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Suppawong Tuarob, Alexander Ororbia, Douglas Jordan, Prasenjit Mitra, C. Lee Giles
2014	A*	`conf`	CiteSeerX: AI in a Digital Library Search Engine. AAAI Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles
2014	—	`conf`	Towards building a scholarly big data platform: Challenges, lessons and opportunities. JCDL 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
2014	—	`conf`	Utility-Based Control Feedback in a Digital Library Search Engine: Cases in CiteSeerX. Feedback Computing Jian Wu, Alexander Ororbia, Kyle Williams, Madian Khabsa, Zhaohui Wu, C. Lee Giles