Joachim Schaeffer

According to our database, Joachim Schaeffer authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Attack Selection Reduces Safety in Concentrated AI Control Settings against Trusted Monitoring.

Joachim Schaeffer, Arjun Khandelwal, Tyler Tracy

CoRR, February, 2026

2025

Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability.

Luca Baroni, Galvin Khara, Joachim Schaeffer, Marat Subkhankulov, Stefan Heimersheim

CoRR, July, 2025

Diagnostic-free onboard battery health assessment.

Yunhong Che, Vivek N. Lam, Jinwook Rhyu, Joachim Schaeffer, Minsu Kim, Martin Z. Bazant, William C. Chueh, Richard D. Braatz

CoRR, March, 2025

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.

Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz

Dataset, March, 2025

Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features.

Joachim Schaeffer, Jinwook Rhyu, Robin Droop, Rolf Findeisen, Richard D. Braatz

Comput. Chem. Eng., 2025

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging.

Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen

Proceedings of the 2025 American Control Conference, 2025

2024

Lithium-Ion Battery Field Data: 28 LFP battery systems with 8 cells in series, up to 5 years of operation.

Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen

Dataset, September, 2024

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data.

Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz

Comput. Chem. Eng., January, 2024

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.

Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz

CoRR, 2024

Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes.

Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen

CoRR, 2024

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging.

Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen

CoRR, 2024

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More.

Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz

Proceedings of the American Control Conference, 2024

Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries.

Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz

Proceedings of the American Control Conference, 2024

2023

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra.

Joachim Schaeffer, Paul Gasper, Esteban García Tamayo, Raymond Gasper, Masaki Adachi, Juan Pablo Gaviria-Cardona, Simon Montoya-Bedoya, Anoushka Bhutani, Andrew Schiek, Rhys Goodall, Rolf Findeisen, Richard D. Braatz, Simon Engelke

CoRR, 2023

2022

Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms.

Joachim Schaeffer, Richard D. Braatz

Comput. Chem. Eng., 2022