Amirhossein Mollaali

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 4

Top Topics

Dynamical Systems

Learning Problems

Partially Observable

Top Venues

Publications

Christian Moya, Amirhossein Mollaali, Zecheng Zhang, Lu Lu, Guang Lin
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks. CoRR (2024)
Amirhossein Mollaali, Izzet Sahin, Iqrar Raza, Christian Moya, Guillermo Paniagua, Guang Lin
A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients. CoRR (2023)
Zhihao Kong, Amirhossein Mollaali, Christian Moya, Na Lu, Guang Lin
B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions. CoRR (2023)
Izzet Sahin, Christian Moya, Amirhossein Mollaali, Guang Lin, Guillermo Paniagua
Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles. CoRR (2023)