A biologically inspired working memory framework for robots. - Joshua L. Phillips; David C. Noelle (RO-MAN, 2005)

Validating Clustering of Molecular Dynamics Simulations Using Polymer Models. - Joshua L. Phillips; Michael E. Colvin; Shawn D. Newsam (BMC Bioinform., 2011)

Validation of computational approaches for studying disordered and unfolded protein dynamics using polymer models. - Joshua L. Phillips (2012)

Computational Modeling of pH-dependent gp120-CD4 Interactions in Founder and Chronic HIV Strains. - Jonathan Howton; Joshua L. Phillips (BCB, 2017)

High-throughput structural modeling of the HIV transmission bottleneck. - Scott P. Morton; Julie B. Phillips; Joshua L. Phillips (BIBM, 2017)

Working Memory Concept Encoding Using Holographic Reduced Representations. - Grayson M. Dubois; Joshua L. Phillips (MAICS, 2017)

Sub-Class Differences of PH-Dependent HIV GP120-CD4 Interactions. - Scott P. Morton; Jonathan Howton; Joshua L. Phillips (BCB, 2018)

Dimensionality Estimation of Protein Dynamics Using Polymer Models. - Joshua L. Phillips; Michael E. Colvin; Shawn D. Newsam (BCB, 2018)

Hybrid Spectral/Subspace Clustering of Molecular Dynamics Simulations. - Ivan Syzonenko; Joshua L. Phillips (BCB, 2018)

Multilayer Context Reasoning in a Neurobiologically Inspired Working Memory Model for Cognitive Robots. - Arthur Williams; Joshua L. Phillips (CogSci, 2018)

Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems. - Nibraas Khan; Joshua L. Phillips (CoRR, 2019)

Transfer Reinforcement Learning Using Output-Gated Working Memory. - Arthur Williams; Joshua L. Phillips (AAAI, 2020)

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 (ICTAI, 2020)

Accelerated Protein Folding Using Greedy-Proximal A. - Ivan Syzonenko; Joshua L. Phillips (J. Chem. Inf. Model., 2020)

Language agnostic model: detecting islamophobic content on social media. - Heena Khan; Joshua L. Phillips (ACM Southeast Conference, 2021)

Benefits of combining dimensional attention and working memory for partially observable reinforcement learning problems. - Ngozi Omatu; Joshua L. Phillips (ACM Southeast Conference, 2021)

Computational Electrostatics Predict Variations in SARS-CoV-2 Spike and Human ACE2 Interactions. - Scott P. Morton; Joshua L. Phillips (BIBM, 2021)

pH Dependent Binding Energies of Broadly Neutralizing Antibodies. - Scott P. Morton; Joshua L. Phillips (BIBM, 2021)

A Neurobiologically-inspired Deep Learning Framework for Autonomous Context Learning. - David W. Ludwig II; Lucas W. Remedios; Joshua L. Phillips (ICTAI, 2021)

Attention Is Not Enough. - Joshua Miller; Shawheen Naderi; Chaning Mullinax; Joshua L. Phillips (CogSci, 2022)

STrXL: Approximating Permutation Invariance/Equivariance to Model Arbitrary Cardinality Sets. - Kendra Givens; David Ludwig 002; Joshua L. Phillips (FLAIRS, 2024)

Contrastive Point Cloud Pretraining for Enhanced Transformers. - Divyashree Shivalingappa Koti; Joshua L. Phillips; Frederick S. Cottle (ICTAI, 2024)

Conditional Forecasting of Bitcoin Prices Using Exogenous Variables. - Adel Mahfooz; Joshua L. Phillips (IEEE Access, 2024)

DNAGAST: Generative Adversarial Set Transformers for High-throughput Sequencing. - David W. Ludwig II; Joshua L. Phillips (FLAIRS, 2025)