‪Rini Gladstone‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	201	201
h-index	4	4
i10-index	3	3

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20212022202320244 52 86 59

Co-authors

Hadi MeidaniUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Mohammad Amin NabianSenior Software Engineer, AI-HPC, NVIDIAVerified email at nvidia.com
Ahmad ZareeiMeta - AI for AR/VRVerified email at fb.com
Marta D'EliaPrincipal Scientist, Pasteur Labs | Adjunct Professor, StanfordVerified email at stanford.edu
Vahid KeshavarzzadehGeneral MotorsVerified email at gm.com

Rini Gladstone

Rini Gladstone

PhD Candidate, University of Illinois Urbana-Champaign

Verified email at illinois.edu - Homepage

Uncertainty Quantification Deep Learning Design Optimization


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Efficient training of physics‐informed neural networks via importance sampling MA Nabian, RJ Gladstone, H Meidani Computer‐Aided Civil and Infrastructure Engineering 36 (8), 962-977, 2021	164	2021
Mesh-based GNN surrogates for time-independent PDEs RJ Gladstone, H Rahmani, V Suryakumar, H Meidani, M D’Elia, A Zareei Scientific Reports 14 (1), 3394, 2024	18*	2024
Robust topology optimization using variational autoencoders RJ Gladstone, MA Nabian, V Keshavarzzadeh, H Meidani arXiv preprint arXiv:2107.10661, 2021	10	2021
FO-Pinns: A first-order formulation for physics informed neural networks RJ Gladstone, MA Nabian, H Meidani arXiv preprint arXiv:2210.14320, 2022	9	2022
Advanced Traveler Information Systems: Qualitative Level of Display of Congestion under Indian Conditions S Vikas, P Tejaswi, JG Rini

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