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Cooper Lorsung
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2020 – today
- 2024
- [j2]Cooper Lorsung
, Zijie Li
Physics informed token transformer for solving partial differential equations. Mach. Learn. Sci. Technol. 5(1): 15032 (2024) - [i9]Cooper Lorsung, Amir Barati Farimani:
PICL: Physics Informed Contrastive Learning for Partial Differential Equations. CoRR abs/2401.16327 (2024) - [i8]Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani:
Strategies for Pretraining Neural Operators. CoRR abs/2406.08473 (2024) - [i7]Cooper Lorsung, Amir Barati Farimani:
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text. CoRR abs/2410.01137 (2024) - 2023
- [i6]Zhonglin Cao
Neural Network Predicts Ion Concentration Profiles under Nanoconfinement. CoRR abs/2304.04896 (2023) - [i5]Cooper Lorsung, Zijie Li, Amir Barati Farimani:
Physics Informed Token Transformer. CoRR abs/2305.08757 (2023) - 2022
- [j1]Rishikesh Magar
AugLiChem: data augmentation library of chemical structures for machine learning. Mach. Learn. Sci. Technol. 3(4): 45015 (2022) - [i4]Cooper Lorsung, Amir Barati Farimani:
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics. CoRR abs/2212.01428 (2022) - 2021
- [i3]Cooper Lorsung:
Understanding Uncertainty in Bayesian Deep Learning. CoRR abs/2106.13055 (2021) - [i2]Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani:
AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. CoRR abs/2111.15112 (2021) - 2020
- [i1]Sujay Thakur, Cooper Lorsung, Yaniv Yacoby, Finale Doshi-Velez, Weiwei Pan:
Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks. CoRR abs/2006.11695 (2020)
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