Ramin Bostanabad

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Gaussian Processes

Top Venues

Comput. Aided Des.

Adv. Eng. Softw.

Publications

Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad
Neural Networks with Kernel-Weighted Corrective Residuals for Solving Partial Differential Equations. CoRR (2024)
Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad
Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers. CoRR (2024)
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor, Carlos Mora, Ramin Bostanabad
GP+: A Python library for kernel-based learning via Gaussian processes. Adv. Eng. Softw. 195 (2024)
Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad
Unsupervised Anomaly Detection via Nonlinear Manifold Learning. CoRR (2023)
Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. SC (2023)
Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. CoRR (2023)
Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad
On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization. CoRR (2023)
Carlos Mora, Jonathan Tammer Eweis-Labolle, Tyler Johnson, Likith Gadde, Ramin Bostanabad
Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets. CoRR (2023)
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor, Carlos Mora, Ramin Bostanabad
GP+: A Python Library for Kernel-based learning via Gaussian Processes. CoRR (2023)
Jonathan Tammer Eweis-Labolle, Chuanning Zhao, Yoonjin Won, Ramin Bostanabad
Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications. CoRR (2023)
Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad
Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models. CoRR (2022)
Shiguang Deng, Diran Apelian, Ramin Bostanabad
Concurrent Multiscale Damage Analysis with Adaptive Spatiotemporal Dimension Reduction. CoRR (2022)
Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad
Data Fusion with Latent Map Gaussian Processes. CoRR (2021)
Nicholas Oune, Ramin Bostanabad
Latent Map Gaussian Processes for Mixed Variable Metamodeling. CoRR (2021)
Shiguang Deng, Carl Soderhjelm, Diran Apelian, Ramin Bostanabad
Reduced-Order Multiscale Modeling of Plastic Deformations in 3D Cast Metallic Alloys with Spatially Varying Microstructures. CoRR (2021)
Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad
Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models. CoRR (2021)
Ramin Bostanabad
Reconstruction of 3D Microstructures from 2D Images via Transfer Learning. Comput. Aided Des. 128 (2020)