Laura Rieger

Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge

Laura Rieger, Chandan Singh, William J. Murdoch et al. · International Conference on Machine Learning · 2020 · 76 citations

Computing, Computer Science, Artificial Intelligence +11

Interpretations are useful: penalizing explanations to align neural networks with prior knowledge

Laura Rieger, Chandan Singh, William J. Murdoch et al. · arXiv (Cornell University) · 2019 · 37 citations · Full text

Computing, Computer Science, Artificial Intelligence +11

Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory

Laura Rieger, Eibar Flores, Kristian Frellesen Nielsen et al. · Digital Discovery · 2022 · 35 citations · Full text

Computing, Chemical Engineering, Aging +13

Understanding the patterns that neural networks learn from chemical spectra

Laura Rieger, Max L. Wilson, Tejs Vegge et al. · Digital Discovery · 2023 · 17 citations · Full text

Computing, Chemistry, Computer Science +17

Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations

Monika Vogler, Simon Krarup Steensen, Francisco F. Ramírez et al. · Advanced Energy Materials · 2024 · 15 citations · Full text

Engineering, Materials Engineering, Materials Science +17