Reliable and Explainable Machine Learning Methods for Accelerated
Material Discovery

v1v2 (latest)

Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery

5 January 2019

Brian Gallagher

ArXiv (abs)PDF HTML

Papers citing "Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery"

12 / 12 papers shown

Title
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine Z. Deger Gülsen Taskin Kaya J. Wallace 41 3 0 11 Jan 2023
MEGAN: Multi-Explanation Graph Attention Network Jonas Teufel Luca Torresi Patrick Reiser Pascal Friederich 74 8 0 23 Nov 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 111 24 0 15 Nov 2022
On Explainability in AI-Solutions: A Cross-Domain Survey S. D. Antón Daniel Schneider Hans D. Schotten 65 2 0 11 Oct 2022
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling Lu Zhang Huaiqian You Yue Yu OffRL 80 7 0 04 Jun 2022
A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario Francisco Valente J. Henriques Simão Paredes Teresa Rocha Paulo de Carvalho João Morais OOD 52 23 0 15 Oct 2021
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors Liwei Wang Suraj Yerramilli Akshay Iyer D. Apley Ping Zhu Wei Chen 82 26 0 26 Jun 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 99 135 0 02 Apr 2021
Confidence Calibration for Domain Generalization under Covariate Shift Yunye Gong Xiaoyu Lin Yi Yao Thomas G. Dietterich Ajay Divakaran Melinda Gervasio 65 27 0 01 Apr 2021
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows Jize Zhang B. Kailkhura T. Y. Han OOD 50 14 0 02 Dec 2020
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 71 34 0 25 Nov 2020
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 120 677 0 21 May 2019