| 2026 | FlAIRS | S3FC - Scalable Sparse Spectral Fusion Clustering for Multi-Manifold Data. | Matthew T. Radice, Joshua L. Phillips |
| 2025 | FlAIRS | DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing. | David W. Ludwig II, Joshua L. Phillips |
| 2024 | FlAIRS | STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets. | Kendra Givens, David Ludwig, Joshua L. Phillips |
| 2024 | ICTAI | Contrastive Point Cloud Pretraining for Enhanced Transformers. | Divyashree Shivalingappa Koti, Joshua L. Phillips, Frederick S. Cottle |
| 2022 | CogSci | Attention Is Not Enough. | Joshua Miller, Shawheen Naderi, Chaning Mullinax, Joshua L. Phillips |
| 2021 | ICTAI | A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. | David W. Ludwig II, Lucas W. Remedios, Joshua L. Phillips |
| 2020 | AAAI | Transfer Reinforcement Learning Using Output-Gated Working Memory. | Arthur Williams, Joshua L. Phillips |
| 2020 | ICTAI | Combined Model for Sensory-Based and Feedback-Based Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer Learning. | Nibraas Khan, Joshua L. Phillips |
| 2018 | CogSci | Multilayer Context Reasoning in a Neurobiologically Inspired Working Memory Model for Cognitive Robots. | Arthur Williams, Joshua L. Phillips |
| 2005 | RO-MAN | A biologically inspired working memory framework for robots. | Joshua L. Phillips, David C. Noelle |