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Amirhossein Mollaali

Identifiers

  • name variant Amirhossein Mollaali 0.60 · backfill

Papers (7)

  1. Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning cs.LG · 2025 · author #1
  2. Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators cs.LG · 2024 · author #1
  3. Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks cs.LG · 2024 · author #2
  4. B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions cs.LG · 2023 · author #2
  5. A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients cs.LG · 2023 · author #1
  6. Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles physics.flu-dyn · 2023 · author #3
  7. On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators cs.LG · 2023 · author #2

Mentions

  • 2504.15240 #1 · arxiv_oai · confidence 0.70 Amirhossein Mollaali
  • 2410.24162 #1 · arxiv_oai · confidence 0.70 Amirhossein Mollaali
  • 2402.15406 #2 · arxiv_oai · confidence 0.70 Amirhossein Mollaali
  • 2311.16519 #2 · arxiv_oai · confidence 0.70 Amirhossein Mollaali
  • 2311.03639 #1 · arxiv_oai · confidence 0.70 Amirhossein Mollaali
  • 2306.00810 #3 · arxiv_oai · confidence 0.70 Amirhossein Mollaali
  • 2301.12538 #2 · arxiv_oai · confidence 0.70 Amirhossein Mollaali

Frequent Coauthors