Reconstruction of 3D Microstructures from 2D Images via Transfer Learning. - Ramin Bostanabad (Comput. Aided Des., 2020)

Latent Map Gaussian Processes for Mixed Variable Metamodeling. - Nicholas Oune; Ramin Bostanabad (CoRR, 2021)

Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models. - Hengjie Wang; Robert Planas; Aparna Chandramowlishwaran; Ramin Bostanabad (CoRR, 2021)

Reduced-Order Multiscale Modeling of Plastic Deformations in 3D Cast Metallic Alloys with Spatially Varying Microstructures. - Shiguang Deng; Carl Soderhjelm; Diran Apelian; Ramin Bostanabad (CoRR, 2021)

Data Fusion with Latent Map Gaussian Processes. - Nicholas Oune; Jonathan Tammer Eweis-Labolle; Ramin Bostanabad (CoRR, 2021)

Concurrent Multiscale Damage Analysis with Adaptive Spatiotemporal Dimension Reduction. - Shiguang Deng; Diran Apelian; Ramin Bostanabad (CoRR, 2022)

Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models. - Shiguang Deng; Carlos Mora; Diran Apelian; Ramin Bostanabad (CoRR, 2022)

Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. - Arthur Feeney; Zitong Li; Ramin Bostanabad; Aparna Chandramowlishwaran (SC, 2023)

Probabilistic Neural Data Fusion for Learning from an Arbitrary Number of Multi-fidelity Data Sets. - Carlos Mora; Jonathan Tammer Eweis-Labolle; Tyler Johnson; Likith Gadde; Ramin Bostanabad (CoRR, 2023)

On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization. - Zahra Zanjani Foumani; Amin Yousefpour; Mehdi Shishehbor; Ramin Bostanabad (CoRR, 2023)

Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications. - Jonathan Tammer Eweis-Labolle; Chuanning Zhao; Yoonjin Won; Ramin Bostanabad (CoRR, 2023)

GP+: A Python library for kernel-based learning via Gaussian processes. - Amin Yousefpour; Zahra Zanjani Foumani; Mehdi Shishehbor; Carlos Mora; Ramin Bostanabad (Adv. Eng. Softw., 2024)

Neural Networks with Kernel-Weighted Corrective Residuals for Solving Partial Differential Equations. - Carlos Mora; Amin Yousefpour; Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2024)

Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers. - Mehdi Shishehbor; Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2024)

Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes. - Amin Yousefpour; Shirin Hosseinmardi; Carlos Mora; Ramin Bostanabad (CoRR, 2024)

Unveiling Processing-Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments. - Mahsa Amiri; Zahra Zanjani Foumani; Penghui Cao; Lorenzo Valdevit; Ramin Bostanabad (CoRR, 2024)

Operator Learning with Gaussian Processes. - Carlos Mora; Amin Yousefpour; Shirin Hosseinmardi; Houman Owhadi; Ramin Bostanabad (CoRR, 2024)

Unsupervised Anomaly Detection via Nonlinear Manifold Learning. - Amin Yousefpour; Mehdi Shishehbor; Zahra Zanjani Foumani; Ramin Bostanabad (J. Comput. Inf. Sci. Eng., 2024)

Constrained multi-fidelity Bayesian optimization with automatic stop condition. - Zahra Zanjani Foumani; Ramin Bostanabad (CoRR, 2025)

SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes. - Nima Negarandeh; Carlos Mora; Ramin Bostanabad (CoRR, 2025)

Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization. - Amin Yousefpour; Shirin Hosseinmardi; Xiangyu Sun; Ramin Bostanabad (CoRR, 2025)

A preliminary data fusion study to assess the feasibility of Foundation Process-Property Models in Laser Powder Bed Fusion. - Oriol Vendrell-Gallart; Nima Negarandeh; Zahra Zanjani Foumani; Mahsa Amiri; Lorenzo Valdevit; Ramin Bostanabad (CoRR, 2025)

Should We Simultaneously Calibrate Multiple Computer Models? - Jonathan Tammer Eweis-Labolle; Tyler Johnson; Xiangyu Sun; Ramin Bostanabad (CoRR, 2025)

Learning Mappings in Mesh-based Simulations. - Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2025)

Compliance Minimization via Physics-Informed Gaussian Processes. - Xiangyu Sun; Amin Yousefpour; Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2025)