Joachim Schaeffer

19 papers C 3Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attack Selection Reduces Safety in Concentrated AI Control Settings against Trusted Monitoring.
CoRR
Joachim Schaeffer, Arjun Khandelwal, Tyler Tracy
2025 J jnl
Diagnostic-free onboard battery health assessment.
CoRR
Yunhong Che, Vivek N. Lam, Jinwook Rhyu, Joachim Schaeffer, Minsu Kim, Martin Z. Bazant, William C. Chueh, Richard D. Braatz
2025 J jnl
Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features.
Comput. Chem. Eng.
Joachim Schaeffer, Jinwook Rhyu, Robin Droop, Rolf Findeisen, Richard D. Braatz
2025 C conf
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging.
ACC
Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen
2025 J jnl
Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability.
CoRR
Luca Baroni, Galvin Khara, Joachim Schaeffer, Marat Subkhankulov, Stefan Heimersheim
2024 C conf
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries.
ACC
Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz
2024 J jnl
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries.
CoRR
Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz
2024 C conf
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More.
ACC
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz
2024 J jnl
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More.
CoRR
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz
2024 J jnl
Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features.
CoRR
Joachim Schaeffer, Jinwook Rhyu, Robin Droop, Rolf Findeisen, Richard D. Braatz
2024 J jnl
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data.
Comput. Chem. Eng.
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
2024 J jnl
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging.
CoRR
Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen
2024 J jnl
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes.
CoRR
Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen
2024 J jnl
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging.
CoRR
Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen
2024 J jnl
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.
CoRR
Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz
2023 J jnl
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data.
CoRR
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
2023 J jnl
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra.
CoRR
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
2022 J jnl
Latent Variable Method Demonstrator - Software for Understanding Multivariate Data Analytics Algorithms.
CoRR
Joachim Schaeffer, Richard D. Braatz
2022 J jnl
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms.
Comput. Chem. Eng.
Joachim Schaeffer, Richard D. Braatz