| 2026 | ETRA | Enhancing Eye Feature Estimation from Event Data Streams through Adaptive Inference State Space Modeling. | Viet Dung Nguyen, Mobina Ghorbaninejad, Chengyi Ma, Reynold Bailey, Gabriel J. Diaz, Alexander Fix, Ryan J. Suess, Alexander Ororbia |
| 2025 | ICRA | SR-AIF: Solving Sparse-Reward Robotic Tasks From Pixels with Active Inference and World Models. | Viet Dung Nguyen, Zhizhuo Yang, Christopher L. Buckley, Alexander Ororbia |
| 2025 | IJCNN | Minimally Supervised Regression using Topological Projections in Self-Organizing Maps. | Zimeng Lyu, Alexander Ororbia, Rui Li, Travis Desell |
| 2023 | ACL | Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. | Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan |
| 2023 | CogSci | The Predictive Forward-Forward Algorithm. | Alexander Ororbia, Ankur A. Mali |
| 2023 | CogSci | Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. | Alexander Ororbia, Ankur A. Mali |
| 2023 | ICRA | Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. | Alexander Ororbia, Ankur Mali |
| 2022 | CogSci | CogNGen: Building the Kernel for a Hyperdimensional Predictive Processing Cognitive Architecture. | Alexander Ororbia, M. Alex Kelly |
| 2022 | LREC | Improving Label Quality by Jointly Modeling Items and Annotators. | Tharindu Cyril Weerasooriya, Alexander Ororbia, Christopher Homan |
| 2022 | NAACL | Multimodal Modeling of Task-Mediated Confusion. | Camille Mince, Skye Rhomberg, Cecilia O. Alm, Reynold Bailey, Alexander Ororbia |
| 2021 | ACII | Eliciting Confusion in Online Conversational Tasks. | Nikhil Kaushik, Reynold Bailey, Alexander Ororbia, Cecilia O. Alm |
| 2020 | GECCO | Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. | AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell |
| 2019 | ACL | Like a Baby: Visually Situated Neural Language Acquisition. | Alexander Ororbia, Ankur Mali, Mary Alexandria Kelly, David Reitter |
| 2019 | GECCO | Investigating recurrent neural network memory structures using neuro-evolution. | Alexander Ororbia, AbdElRahman ElSaid, Travis Desell |
| 2017 | EMNLP | Piecewise Latent Variables for Neural Variational Text Processing. | Iulian Vlad Serban, Alexander Ororbia, Joelle Pineau, Aaron C. Courville |
| 2016 | CIKM | Using Prerequisites to Extract Concept Maps fromTextbooks. | Shuting Wang, Alexander Ororbia, Zhaohui Wu, Kyle Williams, Chen Liang, Bart Pursel, C. Lee Giles |
| 2014 | AAAI | CiteSeerX: AI in a Digital Library Search Engine. | Jian Wu, Kyle Mark Williams, Hung-Hsuan Chen, Madian Khabsa, Cornelia Caragea, Alexander Ororbia, Douglas Jordan, C. Lee Giles |