Theodore P. Pavlic

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 30

Top Topics

Control Policies

Cellular Automata

Concept Learning

Top Venues

Artif. Life Robotics

Publications

Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR (2024)
Jinyung Hong, Theodore P. Pavlic
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. CoRR (2024)
Jinyung Hong, Keun Hee Park, Theodore P. Pavlic
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. WACV (2024)
Jinyung Hong, Theodore P. Pavlic
Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability. CoRR (2023)
Jinyung Hong, Theodore P. Pavlic
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. UniReps (2023)
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
Beyond tracking: using deep learning to discover novel interactions in biological swarms. Artif. Life Robotics 27 (2) (2022)
Jinyung Hong, Theodore P. Pavlic
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning. CoRR (2022)
Sangeet Sankaramangalam Ulhas, Aditya Ravichander, Kathryn A. Johnson, Theodore P. Pavlic, Lance Gharavi, Spring Berman
CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries. CoRR (2022)
Kaitlin M. Baudier, Theodore P. Pavlic
Multi-level instrumentation of bivouac thermoregulation: current methods and future directions. Artif. Life Robotics 27 (2) (2022)
Jinyung Hong, Theodore P. Pavlic
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. CoRR (2021)
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. CoRR (2021)
Jinyung Hong, Theodore P. Pavlic
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. NeSy (2021)
Jinyung Hong, Theodore P. Pavlic
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. CoRR (2021)
Theodore P. Pavlic, Jake R. Hanson, Gabriele Valentini, Sara Imari Walker, Stephen C. Pratt
Quorum sensing without deliberation: biological inspiration for externalizing computation to physical spaces in multi-robot systems. Swarm Intell. 15 (1-2) (2021)
Jinyung Hong, Theodore P. Pavlic
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks. CoRR (2021)
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. AAAI (2021)
Taeyeong Choi, Sehyeok Kang, Theodore P. Pavlic
Learning local behavioral sequences to better infer non-local properties in real multi-robot systems. ICRA (2020)
Sehyeok Kang, Taeyeong Choi, Theodore P. Pavlic
How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams. ACSOS (2020)
Taeyeong Choi, Theodore P. Pavlic
Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems. MFI (2020)
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. CoRR (2020)
Jinyung Hong, Theodore P. Pavlic
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness. CoRR (2020)
Gabriele Valentini, Douglas G. Moore, Jake R. Hanson, Theodore P. Pavlic, Stephen C. Pratt, Sara Imari Walker
Transfer of Information in Collective Decisions by Artificial Agents. ALIFE (2018)
Kenneth Bowers, Laura Strickland, Gregory Cooke, Charles Pippin, Theodore P. Pavlic
Trust-Based Information Propagation on Multi-robot Teams in Noisy Low-Communication Environments. DARS (2018)
Laura Strickland, Kaitlin Baudier, Kenneth Bowers, Theodore P. Pavlic, Charles Pippin
Bio-inspired Role Allocation of Heterogeneous Teams in a Site Defense Task. DARS (2018)
Gregory Cooke, Eric Squires, Laura Strickland, Kenneth Bowers, Charles Pippin, Theodore P. Pavlic, Stephen C. Pratt
Bio-inspired Nest-Site Selection for Distributing Robots in Low-Communication Environments. PAAMS (Workshops) (2018)
Cumhur Erkan Tuncali, Shakiba Yaghoubi, Theodore P. Pavlic, Georgios Fainekos
Functional gradient descent optimization for automatic test case generation for vehicle controllers. CASE (2017)
Taeyeong Choi, Theodore P. Pavlic, Andréa W. Richa
Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming. CASE (2017)
Cumhur Erkan Tuncali, Theodore P. Pavlic, Georgios Fainekos
Utilizing S-TaLiRo as an automatic test generation framework for autonomous vehicles. ITSC (2016)
Joseph Campbell, Cumhur Erkan Tuncali, Peng Liu, Theodore P. Pavlic, Ümit Özgüner, Georgios Fainekos
Modeling concurrency and reconfiguration in vehicular systems: A π-calculus approach. CASE (2016)
Joseph Campbell, Cumhur Erkan Tuncali, Theodore P. Pavlic, Georgios Fainekos
Modeling Concurrency and Reconfiguration in Vehicular Systems: A $π$-calculus Approach. CoRR (2016)
Sean Wilson, Theodore P. Pavlic, Ganesh P. Kumar, Aurélie Buffin, Stephen C. Pratt, Spring Berman
Design of ant-inspired stochastic control policies for collective transport by robotic swarms. Swarm Intell. 8 (4) (2014)
Theodore P. Pavlic
Using Physical Stigmergy in Decentralized Optimization under Multiple Non-separable Constraints: Formal Methods and an Intelligent Lighting Example. IPDPS Workshops (2014)
Theodore P. Pavlic, Alyssa M. Adams, Paul C. W. Davies, Sara Imari Walker
Self-referencing cellular automata: A model of the evolution of information control in biological systems. CoRR (2014)
Theodore P. Pavlic, Alyssa M. Adams, Paul C. W. Davies, Sara Imari Walker
Self-Referencing Cellular Automata: A Model of the Evolution of Information Control in Biological Systems. ALIFE (2014)
Theodore P. Pavlic, Kevin M. Passino
Distributed and Cooperative Task Processing: Cournot Oligopolies on a Graph. IEEE Trans. Cybern. 44 (6) (2014)
Theodore P. Pavlic
Physical stigmergy for decentralized constrained optimization: an intelligent lighting example. ICCPS (2013)
Ganesh P. Kumar, Aurélie Buffin, Theodore P. Pavlic, Stephen Pratt, Spring Berman
A stochastic hybrid system model of collective transport in the desert ant aphaenogaster cockerelli. HSCC (2013)
Theodore P. Pavlic, Sean Wilson, Ganesh P. Kumar, Spring Berman
An Enzyme-Inspired Approach to Stochastic Allocation of Robotic Swarms Around Boundaries. ISRR (2013)
Theodore P. Pavlic, Sai Prathyusha Peddi, Paolo A. G. Sivilotti, Bruce W. Weide
Poster Abstract: Getting Out of the Way - Safety Verification without Compromise. ICCPS (2012)
Theodore P. Pavlic, Kevin M. Passino
Generalizing foraging theory for analysis and design. Int. J. Robotics Res. 30 (5) (2011)
Theodore P. Pavlic, Kevin M. Passino
Foraging theory for autonomous vehicle speed choice. Eng. Appl. Artif. Intell. 22 (3) (2009)