‪Rini Gladstone‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	261	260
h-index	4	4
i10-index	4	4

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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'EliaAdjunct 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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	217	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	23*	2024
FO-Pinns: A first-order formulation for physics informed neural networks RJ Gladstone, MA Nabian, H Meidani arXiv preprint arXiv:2210.14320, 2022	11	2022
ROBUST TOPOLOGY OPTIMIZATION USING MULTI-FIDELITY VARIATIONAL AUTOENCODERS RJ Gladstone, MA Nabian, V Keshavarzzadeh, H Meidani Journal of Machine Learning for Modeling and Computing 5 (4), 2024	10*	2024
Advanced Traveler Information Systems: Qualitative Level of Display of Congestion under Indian Conditions S Vikas, P Tejaswi, JG Rini

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