Publications

Most of my publications can be found on Google Scholar page and Researchgate page.

🌐 - Rashomon Set
🔄 - Explanation (Dis)agreement
⚛️ - AI for Science

Preprints

🌐Practical Attribution Guidance for Rashomon Sets
Sichao Li, Amanda Barnard, Quanling Deng

🔄🌐EXAGREE: Towards Explanation Agreement in Explainable Machine Learning
Sichao Li, Quanling Deng, Amanda Barnard\

Publications

🌐🔄⚛️Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical Sciences
Sichao Li, Xin Wang, Amanda Barnard
Machine Learning: Science and Technology, (2024)

🌐Exploring the cloud of feature interaction scores in a Rashomon set
Sichao Li, Rong Wang, Quanling Deng, Amanda Barnard
International Conference on Learning Representations (ICLR), (2024)

🌐⚛️Multi-target neural network predictions of MXenes as high-capacity energy storage materials in a Rashomon set
Sichao Li, Amanda Barnard
Cell Reports Physical Science, (2023)

🌐Variance tolerance factors for interpreting all neural networks
Sichao Li, Amanda Barnard
International Joint Conference on Neural Networks (IJCNN), (2023)

⚛️Inverse design of MXenes for high-capacity energy storage materials using multi-target machine learning
Sichao Li, Amanda Barnard
Chemistry of Materials, 34(11), 4964-4974, (2022)

⚛️Inverse Design of Nanoparticles Using Multi‐Target Machine Learning
Sichao Li, Amanda Barnard
Advanced Theory and Simulations, 5(2), 2100414, (2022)

⚛️Safety-by-design using forward and inverse multi-target machine learning
Sichao Li, Amanda Barnard
Chemosphere, 303, 135033, (2022)

🔄⚛️The impact of domain-driven and data-driven feature selection on the inverse design of nanoparticle catalysts
Sichao Li, Jessica Y.C. Ting, Amanda Barnard
Journal of Computational Science, 65, 101896, (2022)

⚛️Optimization-free inverse design of high-dimensional nanoparticle electrocatalysts using multi-target machine learning
Sichao Li, Jessica Y.C. Ting, Amanda Barnard
International Conference on Computational Science, 307-318, (2022)