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ORCIDTheodore P. Pavlic
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2020 – today
- 2024
[c21]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: 4868-4879- [i13]Jinyung Hong, Theodore P. Pavlic:
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. CoRR abs/2401.02437 (2024) - [i12]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 abs/2403.14140 (2024) - 2023
- [c20]Jinyung Hong, Theodore P. Pavlic:
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks. UniReps 2023: 315-325 - [i11]Jinyung Hong, Theodore P. Pavlic:
Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability. CoRR abs/2305.15775 (2023) - 2022
- [j7]Kaitlin M. Baudier
, Theodore P. Pavlic:
Multi-level instrumentation of bivouac thermoregulation: current methods and future directions. Artif. Life Robotics 27(2): 308-315 (2022) - [j6]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): 393-400 (2022) - [i10]Jinyung Hong, Theodore P. Pavlic:
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning. CoRR abs/2204.04297 (2022) - [i9]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 abs/2210.00377 (2022) - 2021
- [j5]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): 171-203 (2021) - [c19]Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic:
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. AAAI 2021: 15286-15292 - [c18]Jinyung Hong, Theodore P. Pavlic:
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. NeSy 2021: 126-142 - [i8]Jinyung Hong, Theodore P. Pavlic:
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks. CoRR abs/2108.07554 (2021) - [i7]Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic:
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms. CoRR abs/2108.09394 (2021) - [i6]Jinyung Hong, Theodore P. Pavlic:
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning. CoRR abs/2109.06663 (2021) - [i5]Jinyung Hong, Theodore P. Pavlic:
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection. CoRR abs/2111.10686 (2021) - 2020
- [c17]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: 146-152 - [c16]Taeyeong Choi, Sehyeok Kang, Theodore P. Pavlic:
Learning local behavioral sequences to better infer non-local properties in real multi-robot systems. ICRA 2020: 2138-2144 - [c15]Taeyeong Choi, Theodore P. Pavlic:
Automatic Discovery of Motion Patterns that Improve Learning Rate in Communication-Limited Multi-Robot Systems. MFI 2020: 243-248 - [i4]Jinyung Hong, Theodore P. Pavlic:
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness. CoRR abs/2006.12392 (2020) - [i3]Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic:
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. CoRR abs/2009.08626 (2020)
2010 – 2019
- 2018
- [c14]Laura G. Strickland, Kaitlin Baudier, Kenneth Bowers, Theodore P. Pavlic, Charles Pippin:
Bio-inspired Role Allocation of Heterogeneous Teams in a Site Defense Task. DARS 2018: 139-151 - [c13]Kenneth Bowers, Laura G. Strickland, Gregory Cooke, Charles Pippin, Theodore P. Pavlic:
Trust-Based Information Propagation on Multi-robot Teams in Noisy Low-Communication Environments. DARS 2018: 239-250 - [c12]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: 641-648 - [c11]Gregory Cooke, Eric Squires, Laura G. 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: 517-524 - 2017
- [c10]Cumhur Erkan Tuncali, Shakiba Yaghoubi, Theodore P. Pavlic, Georgios Fainekos:
Functional gradient descent optimization for automatic test case generation for vehicle controllers. CASE 2017: 1059-1064 - [c9]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: 1522-1527 - 2016
- [c8]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: 523-530 - [c7]Cumhur Erkan Tuncali, Theodore P. Pavlic, Georgios Fainekos:
Utilizing S-TaLiRo as an automatic test generation framework for autonomous vehicles. ITSC 2016: 1470-1475 - [i2]Joseph Campbell, Cumhur Erkan Tuncali, Theodore P. Pavlic, Georgios Fainekos:
Modeling Concurrency and Reconfiguration in Vehicular Systems: A $π$-calculus Approach. CoRR abs/1604.02122 (2016) - 2014
- [j4]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): 303-327 (2014) - [j3]Theodore P. Pavlic, Kevin M. Passino:
Distributed and Cooperative Task Processing: Cournot Oligopolies on a Graph. IEEE Trans. Cybern. 44(6): 774-784 (2014) - [c6]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: 522-529 - [c5]Theodore P. Pavlic:
Using Physical Stigmergy in Decentralized Optimization under Multiple Non-separable Constraints: Formal Methods and an Intelligent Lighting Example. IPDPS Workshops 2014: 402-411 - [i1]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 abs/1405.4070 (2014) - 2013
- [c4]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: 119-124 - [c3]Theodore P. Pavlic:
Physical stigmergy for decentralized constrained optimization: an intelligent lighting example. ICCPS 2013: 258 - [c2]Theodore P. Pavlic, Sean Wilson, Ganesh P. Kumar, Spring Berman:
An Enzyme-Inspired Approach to Stochastic Allocation of Robotic Swarms Around Boundaries. ISRR 2013: 631-647 - [r1]Theodore P. Pavlic, Stephen C. Pratt:
Superorganismic Behavior via Human Computation. Handbook of Human Computation 2013: 911-960 - 2012
- [c1]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: 234 - 2011
- [j2]Theodore P. Pavlic, Kevin M. Passino:
Generalizing foraging theory for analysis and design. Int. J. Robotics Res. 30(5): 505-523 (2011)
2000 – 2009
- 2009
- [j1]Theodore P. Pavlic, Kevin M. Passino:
Foraging theory for autonomous vehicle speed choice. Eng. Appl. Artif. Intell. 22(3): 482-489 (2009)
Coauthor Index
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