Theodore P. Pavlic

45 papers A* 2A 1C 4Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ant-inspired Walling Strategies for Scalable Swarm Separation: Reinforcement Learning Approaches Based on Finite State Machines. CoRR Shenbagaraj Kannapiran, Elena Oikonomou, Albert Chu, Spring Berman, Theodore P. Pavlic
2025	—	`conf`	Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations. UniReps Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
2024	J	`jnl`	Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings. CoRR Jinyung Hong, Yearim Kim, Keun Hee Park, Sangyu Han, Nojun Kwak, Theodore P. Pavlic
2024	A	`conf`	Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. WACV Jinyung Hong, Keun Hee Park, Theodore P. Pavlic
2024	J	`jnl`	Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
2024	J	`jnl`	Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. CoRR Jinyung Hong, Theodore P. Pavlic
2023	J	`jnl`	Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability. CoRR Jinyung Hong, Theodore P. Pavlic
2023	—	`conf`	Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. UniReps Jinyung Hong, Theodore P. Pavlic
2022	J	`jnl`	Beyond tracking: using deep learning to discover novel interactions in biological swarms. Artif. Life Robotics Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2022	J	`jnl`	CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries. CoRR Sangeet Sankaramangalam Ulhas, Aditya Ravichander, Kathryn A. Johnson, Theodore P. Pavlic, Lance Gharavi, Spring Berman
2022	J	`jnl`	Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning. CoRR Jinyung Hong, Theodore P. Pavlic
2022	J	`jnl`	Multi-level instrumentation of bivouac thermoregulation: current methods and future directions. Artif. Life Robotics Kaitlin M. Baudier, Theodore P. Pavlic
2021	C	`conf`	An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. NeSy Jinyung Hong, Theodore P. Pavlic
2021	J	`jnl`	An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. CoRR Jinyung Hong, Theodore P. Pavlic
2021	J	`jnl`	Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. CoRR Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2021	A*	`conf`	Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. AAAI Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2021	J	`jnl`	KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks. CoRR Jinyung Hong, Theodore P. Pavlic
2021	J	`jnl`	Quorum sensing without deliberation: biological inspiration for externalizing computation to physical spaces in multi-robot systems. Swarm Intell. Theodore P. Pavlic, Jake R. Hanson, Gabriele Valentini, Sara Imari Walker, Stephen C. Pratt
2021	J	`jnl`	Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. CoRR Jinyung Hong, Theodore P. Pavlic
2020	—	`conf`	Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems. MFI Taeyeong Choi, Theodore P. Pavlic
2020	—	`conf`	How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams. ACSOS Sehyeok Kang, Taeyeong Choi, Theodore P. Pavlic
2020	J	`jnl`	Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. CoRR Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
2020	A*	`conf`	Learning local behavioral sequences to better infer non-local properties in real multi-robot systems. ICRA Taeyeong Choi, Sehyeok Kang, Theodore P. Pavlic
2020	J	`jnl`	Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness. CoRR Jinyung Hong, Theodore P. Pavlic
2018	—	`conf`	Bio-inspired Nest-Site Selection for Distributing Robots in Low-Communication Environments. PAAMS (Workshops) Gregory Cooke, Eric Squires, Laura G. Strickland, Kenneth Bowers, Charles Pippin, Theodore P. Pavlic, Stephen C. Pratt
2018	—	`conf`	Bio-inspired Role Allocation of Heterogeneous Teams in a Site Defense Task. DARS Laura G. Strickland, Kaitlin Baudier, Kenneth Bowers, Theodore P. Pavlic, Charles Pippin
2018	C	`conf`	Transfer of Information in Collective Decisions by Artificial Agents. ALIFE Gabriele Valentini, Douglas G. Moore, Jake R. Hanson, Theodore P. Pavlic, Stephen C. Pratt, Sara Imari Walker
2018	—	`conf`	Trust-Based Information Propagation on Multi-robot Teams in Noisy Low-Communication Environments. DARS Kenneth Bowers, Laura G. Strickland, Gregory Cooke, Charles Pippin, Theodore P. Pavlic
2017	—	`conf`	Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming. CASE Taeyeong Choi, Theodore P. Pavlic, Andréa W. Richa
2017	—	`conf`	Functional gradient descent optimization for automatic test case generation for vehicle controllers. CASE Cumhur Erkan Tuncali, Shakiba Yaghoubi, Theodore P. Pavlic, Georgios Fainekos
2016	J	`jnl`	Modeling Concurrency and Reconfiguration in Vehicular Systems: A $π$-calculus Approach. CoRR Joseph Campbell, Cumhur Erkan Tuncali, Theodore P. Pavlic, Georgios Fainekos
2016	—	`conf`	Modeling concurrency and reconfiguration in vehicular systems: A π-calculus approach. CASE Joseph Campbell, Cumhur Erkan Tuncali, Peng Liu, Theodore P. Pavlic, Ümit Özgüner, Georgios Fainekos
2016	—	`conf`	Utilizing S-TaLiRo as an automatic test generation framework for autonomous vehicles. ITSC Cumhur Erkan Tuncali, Theodore P. Pavlic, Georgios Fainekos
2014	J	`jnl`	Design of ant-inspired stochastic control policies for collective transport by robotic swarms. Swarm Intell. Sean Wilson, Theodore P. Pavlic, Ganesh P. Kumar, Aurélie Buffin, Stephen C. Pratt, Spring Berman
2014	J	`jnl`	Distributed and Cooperative Task Processing: Cournot Oligopolies on a Graph. IEEE Trans. Cybern. Theodore P. Pavlic, Kevin M. Passino
2014	C	`conf`	Self-Referencing Cellular Automata: A Model of the Evolution of Information Control in Biological Systems. ALIFE Theodore P. Pavlic, Alyssa M. Adams, Paul C. W. Davies, Sara Imari Walker
2014	J	`jnl`	Self-referencing cellular automata: A model of the evolution of information control in biological systems. CoRR Theodore P. Pavlic, Alyssa M. Adams, Paul C. W. Davies, Sara Imari Walker
2014	—	`conf`	Using Physical Stigmergy in Decentralized Optimization under Multiple Non-separable Constraints: Formal Methods and an Intelligent Lighting Example. IPDPS Workshops Theodore P. Pavlic
2013	—	`conf`	A stochastic hybrid system model of collective transport in the desert ant aphaenogaster cockerelli. HSCC Ganesh P. Kumar, Aurélie Buffin, Theodore P. Pavlic, Stephen Pratt, Spring Berman
2013	C	`conf`	An Enzyme-Inspired Approach to Stochastic Allocation of Robotic Swarms Around Boundaries. ISRR Theodore P. Pavlic, Sean Wilson, Ganesh P. Kumar, Spring Berman
2013	—	`conf`	Physical stigmergy for decentralized constrained optimization: an intelligent lighting example. ICCPS Theodore P. Pavlic
2013	—	`ch.`	Superorganismic Behavior via Human Computation. Handbook of Human Computation Theodore P. Pavlic, Stephen C. Pratt
2012	—	`conf`	Poster Abstract: Getting Out of the Way - Safety Verification without Compromise. ICCPS Theodore P. Pavlic, Sai Prathyusha Peddi, Paolo A. G. Sivilotti, Bruce W. Weide
2011	J	`jnl`	Generalizing foraging theory for analysis and design. Int. J. Robotics Res. Theodore P. Pavlic, Kevin M. Passino
2009	J	`jnl`	Foraging theory for autonomous vehicle speed choice. Eng. Appl. Artif. Intell. Theodore P. Pavlic, Kevin M. Passino