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ORCIDJulian Martinez
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- 2026
[i4]Kooktae Lee, Julian Martinez:
AI-Augmented Density-Driven Optimal Control (D2OC) for Decentralized Environmental Mapping. CoRR abs/2601.21126 (2026)- [i3]Julian Martinez, Kooktae Lee:
Computationally Efficient Density-Driven Optimal Control via Analytical KKT Reduction and Contractive MPC. CoRR abs/2603.18503 (2026) - [i2]Julian Martinez, Kooktae Lee:
Feedforward Density-Driven Optimal Control for Tracking Time-Varying Distributions with Guaranteed Stability. CoRR abs/2604.01509 (2026) - 2025
- [c1]Daniel Jimenez, Natalia Castano-Villegas, Isabella Llano, Julian Martinez, Laura Ortiz, Laura Velasquez, Jose Zea:
Pandora: an Ai Model for the Automatic Extraction of Clinical Unstructured Data and Clinical Risk Score Implementation. CAI 2025: 1682-1688 - [i1]Kooktae Lee, Julian Martinez:
Breaking Symmetry-Induced Degeneracy in Multi-Agent Ergodic Coverage via Stochastic Spectral Control. CoRR abs/2512.23158 (2025) - 2024
- [j2]Vincent Frey, Julian Martinez:
Interpersonal trust modelling through multi-agent Reinforcement Learning. Cogn. Syst. Res. 83: 101157 (2024) - [j1]Sarah K. Keadle
, Skylar Eglowski, Katie Ylarregui, Scott J. Strath, Julian Martinez, Alex Dekhtyar, Vadim Kagan:
Using Computer Vision to Annotate Video-Recoded Direct Observation of Physical Behavior. Sensors 24(7): 2359 (2024)
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