Theodore P. Pavlic
Orcid: 0000-0002-7073-6932
According to our database1,
Theodore P. Pavlic
authored at least 37 papers
between 2009 and 2024.
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Bibliography
2024
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks.
CoRR, 2024
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability.
CoRR, 2023
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023
2022
CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries.
CoRR, 2022
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning.
CoRR, 2022
Beyond tracking: using deep learning to discover novel interactions in biological swarms.
Artif. Life Robotics, 2022
Multi-level instrumentation of bivouac thermoregulation: current methods and future directions.
Artif. Life Robotics, 2022
2021
Quorum sensing without deliberation: biological inspiration for externalizing computation to physical spaces in multi-robot systems.
Swarm Intell., 2021
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection.
CoRR, 2021
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks.
CoRR, 2021
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning.
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness.
CoRR, 2020
Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020
Learning local behavioral sequences to better infer non-local properties in real multi-robot systems.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020
2018
Bio-inspired Nest-Site Selection for Distributing Robots in Low-Communication Environments.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018
Proceedings of the 2018 Conference on Artificial Life, 2018
Proceedings of the Distributed Autonomous Robotic Systems, 2018
Trust-Based Information Propagation on Multi-robot Teams in Noisy Low-Communication Environments.
Proceedings of the Distributed Autonomous Robotic Systems, 2018
2017
Functional gradient descent optimization for automatic test case generation for vehicle controllers.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
Automated synthesis of scalable algorithms for inferring non-local properties to assist in multi-robot teaming.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Modeling Concurrency and Reconfiguration in Vehicular Systems: A $π$-calculus Approach.
CoRR, 2016
Utilizing S-TaLiRo as an automatic test generation framework for autonomous vehicles.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
Modeling concurrency and reconfiguration in vehicular systems: A π-calculus approach.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016
2014
IEEE Trans. Cybern., 2014
Design of ant-inspired stochastic control policies for collective transport by robotic swarms.
Swarm Intell., 2014
Using Physical Stigmergy in Decentralized Optimization under Multiple Non-separable Constraints: Formal Methods and an Intelligent Lighting Example.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
Self-Referencing Cellular Automata: A Model of the Evolution of Information Control in Biological Systems.
Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014
2013
Proceedings of the Handbook of Human Computation, 2013
An Enzyme-Inspired Approach to Stochastic Allocation of Robotic Swarms Around Boundaries.
Proceedings of the Robotics Research, 2013
Physical stigmergy for decentralized constrained optimization: an intelligent lighting example.
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems (with CPS Week 2013), 2013
A stochastic hybrid system model of collective transport in the desert ant aphaenogaster cockerelli.
Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013
2012
Proceedings of the 2012 IEEE/ACM Third International Conference on Cyber-Physical Systems, 2012
2011
2009