Amanda S. Barnard

37 papers A* 2A 3B 2Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Machine Learning Approach Towards Runtime Optimisation of Matrix Multiplication.
CoRR
Yufan Xia, Marco De La Pierre, Amanda S. Barnard, Giuseppe Maria Junior Barca
2026 J jnl
SIPHON: Silicon Photonic Computing-Based Chiplet Accelerator for Deep Learning.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Chengpeng Xia, Haibo Zhang, Yawen Chen, Amanda S. Barnard
2025 J jnl
BenchMake: Turn any scientific data set into a reproducible benchmark.
CoRR
Amanda S. Barnard
2025 J jnl
Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing.
J. Intell. Manuf.
Najmeh Samadiani, Amanda S. Barnard, Dayalan Gunasegaram, Najmeh Fayyazifar
2025 — ed.
Computational Science - ICCS 2025 Workshops - 25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part I
ICCS (Workshops 1)
Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang
2025 — ed.
Computational Science - ICCS 2025 Workshops - 25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part II
ICCS (Workshops 2)
Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang
2025 — ed.
Computational Science - ICCS 2025 Workshops - 25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part III
ICCS (Workshops 3)
Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang
2025 — ed.
Computational Science - ICCS 2025 Workshops - 25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part IV
ICCS (Workshops 4)
Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang
2025 — ed.
Computational Science - ICCS 2025 Workshops - 25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part V
ICCS (Workshops 5)
Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang
2025 — ed.
Computational Science - ICCS 2025 Workshops - 25th International Conference, Singapore, Singapore, July 7-9, 2025, Proceedings, Part VI
ICCS (Workshops 6)
Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang
2025 B conf
Contribution-Driven Personalization for Model Heterogeneous Federated Learning.
IJCNN
Jifeng Chen, Haibo Zhang, Amanda S. Barnard
2025 J jnl
Diverse explanations from data-driven and domain-driven perspectives in the physical sciences.
Mach. Learn. Sci. Technol.
Sichao Li, Xin Wang, Amanda S. Barnard
2025 A conf
FedShapleX: Shapley Value Driven Context-Aware Model-Heterogeneous Federated Learning.
ICDCS
Jifeng Chen, Haibo Zhang, Amanda S. Barnard
2025 A conf
ROCKET: An RNS-based Photonic Accelerator for High-Precision and Energy-Efficient DNN Training.
ICS
Hao Zhang, Haibo Zhang, Chengpeng Xia, Zhiyi Huang, Yawen Chen, Amanda S. Barnard
2024 J jnl
Classification of battery compounds using structure-free Mendeleev encodings.
J. Cheminformatics
Zixin Zhuang, Amanda S. Barnard
2024 J jnl
Diverse Explanations from Data-driven and Domain-driven Perspectives for Machine Learning Models.
CoRR
Sichao Li, Amanda S. Barnard
2024 J jnl
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning.
CoRR
Sichao Li, Quanling Deng, Amanda S. Barnard
2024 A* conf
Exploring the cloud of feature interaction scores in a Rashomon set.
ICLR
Sichao Li, Rong Wang, Quanling Deng, Amanda S. Barnard
2024 J jnl
Inverse prediction of Al alloy post-processing conditions using classification with guided oversampling.
Mach. Learn. Sci. Technol.
Amanda S. Barnard
2024 J jnl
Online meta-learned gradient norms for active learning in science and technology.
Mach. Learn. Sci. Technol.
Haiqi Dong, Amanda S. Barnard, Amanda J. Parker
2024 J jnl
Practical Attribution Guidance for Rashomon Sets.
CoRR
Sichao Li, Amanda S. Barnard, Quanling Deng
2024 J jnl
Property Prediction for Complex Compounds Using Structure-Free Mendeleev Encoding and Machine Learning.
J. Chem. Inf. Model.
Zixin Zhuang, Amanda S. Barnard
2023 A conf
A Machine Learning Approach Towards Runtime Optimisation of Matrix Multiplication.
IPDPS
Yufan Xia, Marco De La Pierre, Amanda S. Barnard, Giuseppe M. J. Barca
2023 J jnl
Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis.
J. Biomed. Informatics
Weitong Huang, Hanna Suominen, Tommy Liu, Gregory Rice, Carlos Salomon, Amanda S. Barnard
2023 J jnl
Exploring the cloud of feature interaction scores in a Rashomon set.
CoRR
Sichao Li, Rong Wang, Quanling Deng, Amanda S. Barnard
2023 A* conf
Shapley Based Residual Decomposition for Instance Analysis.
ICML
Tommy Liu, Amanda S. Barnard
2023 J jnl
Shapley Based Residual Decomposition for Instance Analysis.
CoRR
Tommy Liu, Amanda S. Barnard
2023 B conf
Variance Tolerance Factors For Interpreting All Neural Networks.
IJCNN
Sichao Li, Amanda S. Barnard
2022 J jnl
Federated data processing and learning for collaboration in the physical sciences.
Mach. Learn. Sci. Technol.
W. Huang, Amanda S. Barnard
2022 — conf
Optimization-Free Inverse Design of High-Dimensional Nanoparticle Electrocatalysts Using Multi-target Machine Learning.
ICCS (1)
Sichao Li, Jonathan Y. C. Ting, Amanda S. Barnard
2022 J jnl
The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts.
J. Comput. Sci.
Sichao Li, Jonathan Y. C. Ting, Amanda S. Barnard
2022 J jnl
Variance Tolerance Factors For Interpreting Neural Networks.
CoRR
Sichao Li, Amanda S. Barnard
2021 J jnl
Fast derivation of Shapley based feature importances through feature extraction methods for nanoinformatics.
Mach. Learn. Sci. Technol.
Tommy Liu, Amanda S. Barnard
2017 J jnl
Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction.
J. Chem. Inf. Model.
Baichuan Sun, Michael Fernández, Amanda S. Barnard
2017 J jnl
On reverse Monte Carlo constraints and model reproduction.
J. Comput. Chem.
George Opletal, Timothy C. Petersen, Amanda S. Barnard, Salvy P. Russo
2015 J jnl
Quantitative Structure-Property Relationship Modeling of Electronic Properties of Graphene Using Atomic Radial Distribution Function Scores.
J. Chem. Inf. Model.
Michael Fernández, Hongqing Shi, Amanda S. Barnard
2011 J jnl
Useful equations for modeling the relative stability of common nanoparticle morphologies.
Comput. Phys. Commun.
Amanda S. Barnard