| 2026 | WACV | Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings. | Jinyung Hong, Yearim Kim, Keun Hee Park, Sangyu Han, Nojun Kwak, Theodore P. Pavlic |
| 2026 | WACV | Stabilizing Intrinsic Explanations: A Geometric Perspective on Concept Leakage. | Keun Hee Park, Jinyung Hong, Theodore P. Pavlic, Pavan Turaga |
| 2024 | WACV | Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. | Jinyung Hong, Keun Hee Park, Theodore P. Pavlic |
| 2021 | AAAI | Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. | Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic |
| 2021 | NeSy | An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. | Jinyung Hong, Theodore P. Pavlic |
| 2020 | ICRA | Learning local behavioral sequences to better infer non-local properties in real multi-robot systems. | Taeyeong Choi, Sehyeok Kang, Theodore P. Pavlic |
| 2018 | PAAMS | Bio-inspired Nest-Site Selection for Distributing Robots in Low-Communication Environments. | Gregory Cooke, Eric Squires, Laura G. Strickland, Kenneth Bowers, Charles Pippin, Theodore P. Pavlic, Stephen C. Pratt |
| 2014 | ALIFE | Self-Referencing Cellular Automata: A Model of the Evolution of Information Control in Biological Systems. | Theodore P. Pavlic, Alyssa M. Adams, Paul C. W. Davies, Sara Imari Walker |
| 2013 | ISRR | An Enzyme-Inspired Approach to Stochastic Allocation of Robotic Swarms Around Boundaries. | Theodore P. Pavlic, Sean Wilson, Ganesh P. Kumar, Spring Berman |