Roland C. Aydin
Orcid: 0000-0002-9542-9146
According to our database1,
Roland C. Aydin authored at least 22 papers
between 2020 and 2026.
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Bibliography
2026
LLM-driven design of physics-constrained constitutive models: two agents are better than one.
CoRR, May, 2026
In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts.
CoRR, March, 2026
Enhancing the quality of gauge images captured in smoke and haze scenes through deep learning.
CoRR, January, 2026
2025
Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials.
CoRR, December, 2025
From Model Training to Model Raising - A call to reform AI model training paradigms from post-hoc alignment to intrinsic, identity-based development.
CoRR, November, 2025
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis.
CoRR, January, 2025
Generative adversarial networks for creating realistic training data for machine learning-based segmentation of FIB tomography data.
Mach. Learn. Sci. Technol., 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
Fleet of Agents: Coordinated Problem Solving with Large Language Models using Genetic Particle Filtering.
CoRR, 2024
2021
Neural Networks, 2021
Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning.
J. Comput. Phys., 2021
A computational framework for modeling cell-matrix interactions in soft biological tissues.
CoRR, 2021
2020
Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020