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2020 – today
- 2024
[j2]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: 103686 (2024)- [i17]Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad:
Neural Networks with Kernel-Weighted Corrective Residuals for Solving Partial Differential Equations. CoRR abs/2401.03492 (2024) - [i16]Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad:
Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers. CoRR abs/2403.15652 (2024) - [i15]Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora, Ramin Bostanabad:
Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes. CoRR abs/2408.03490 (2024) - [i14]Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad:
Unveiling Processing-Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments. CoRR abs/2409.00248 (2024) - [i13]Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Houman Owhadi, Ramin Bostanabad:
Operator Learning with Gaussian Processes. CoRR abs/2409.04538 (2024) - 2023
- [c1]Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran:
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. SC 2023: 80:1-80:15 - [i12]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 abs/2301.13271 (2023) - [i11]Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad:
Unsupervised Anomaly Detection via Nonlinear Manifold Learning. CoRR abs/2306.09441 (2023) - [i10]Arthur Feeney, Zitong Li, Ramin Bostanabad, Aparna Chandramowlishwaran:
Breaking Boundaries: Distributed Domain Decomposition with Scalable Physics-Informed Neural PDE Solvers. CoRR abs/2308.14258 (2023) - [i9]Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor, Ramin Bostanabad:
On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization. CoRR abs/2309.02771 (2023) - [i8]Jonathan Tammer Eweis-Labolle, Chuanning Zhao, Yoonjin Won, Ramin Bostanabad:
Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications. CoRR abs/2310.18505 (2023) - [i7]Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor, Carlos Mora, Ramin Bostanabad:
GP+: A Python Library for Kernel-based learning via Gaussian Processes. CoRR abs/2312.07694 (2023) - 2022
- [i6]Shiguang Deng, Diran Apelian, Ramin Bostanabad:
Concurrent Multiscale Damage Analysis with Adaptive Spatiotemporal Dimension Reduction. CoRR abs/2205.12149 (2022) - [i5]Shiguang Deng, Carlos Mora, Diran Apelian, Ramin Bostanabad:
Data-Driven Calibration of Multi-Fidelity Multiscale Fracture Models. CoRR abs/2205.12157 (2022) - 2021
- [i4]Nicholas Oune, Ramin Bostanabad:
Latent Map Gaussian Processes for Mixed Variable Metamodeling. CoRR abs/2102.03935 (2021) - [i3]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 abs/2104.10873 (2021) - [i2]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 abs/2108.03742 (2021) - [i1]Nicholas Oune, Jonathan Tammer Eweis-Labolle, Ramin Bostanabad:
Data Fusion with Latent Map Gaussian Processes. CoRR abs/2112.02206 (2021) - 2020
- [j1]Ramin Bostanabad:
Reconstruction of 3D Microstructures from 2D Images via Transfer Learning. Comput. Aided Des. 128: 102906 (2020)
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