Joachim Schaeffer
Orcid: 0000-0001-8767-4101
According to our database1,
Joachim Schaeffer
authored at least 14 papers
between 2022 and 2025.
Collaborative distances:
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Bibliography
2025
Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability.
CoRR, July, 2025
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.
Dataset, March, 2025
Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features.
Comput. Chem. Eng., 2025
2024
Lithium-Ion Battery Field Data: 28 LFP battery systems with 8 cells in series, up to 5 years of operation.
Dataset, September, 2024
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data.
Comput. Chem. Eng., January, 2024
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.
CoRR, 2024
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging.
CoRR, 2024
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes.
CoRR, 2024
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging.
CoRR, 2024
Proceedings of the American Control Conference, 2024
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries.
Proceedings of the American Control Conference, 2024
2023
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra.
CoRR, 2023
2022
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms.
Comput. Chem. Eng., 2022