| Non-Parametric Calibration for Classification J Wenger, H Kjellström, R Triebel International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 | 138 | 2020 |
| Physics-informed Gaussian Process Regression Generalizes Linear PDE Solvers M Pförtner, I Steinwart, P Hennig, J Wenger arXiv preprint arXiv:2212.12474, 2022 | 60 | 2022 |
| Preconditioning for Scalable Gaussian Process Hyperparameter Optimization J Wenger, G Pleiss, P Hennig, JP Cunningham, JR Gardner International Conference on Machine Learning (ICML), 2022 | 51* | 2022 |
| Posterior and Computational Uncertainty in Gaussian Processes J Wenger, G Pleiss, M Pförtner, P Hennig, JP Cunningham Advances in Neural Information Processing Systems (NeurIPS), 2022 | 35 | 2022 |
| ProbNum: Probabilistic Numerics in Python J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ... arXiv preprint arXiv:2112.02100, 2021 | 22 | 2021 |
| Probabilistic Linear Solvers for Machine Learning J Wenger, P Hennig Advances in Neural Information Processing Systems (NeurIPS), 2020 | 20 | 2020 |
| Large-Scale Gaussian Processes via Alternating Projection K Wu, J Wenger, H Jones, G Pleiss, JR Gardner International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 12 | 2024 |
| On the Disconnect Between Theory and Practice of Neural Networks: Limits of the Neural Tangent Kernel Perspective J Wenger, F Dangel, A Kristiadi arXiv preprint arXiv:2310.00137, 2023 | 12* | 2023 |
| Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference J Wenger, K Wu, P Hennig, JR Gardner, G Pleiss, JP Cunningham Advances in Neural Information Processing Systems (NeurIPS), 2024 | 10 | 2024 |
| Accelerating Non-Conjugate Gaussian Processes By Trading Off Computation For Uncertainty L Tatzel, J Wenger, F Schneider, P Hennig Transactions on Machine Learning Research (TMLR), 2025 | 4* | 2025 |
| Computation-Aware Kalman Filtering and Smoothing M Pförtner, J Wenger, J Cockayne, P Hennig International Conference on Artificial Intelligence and Statistics (AISTATS), 2025 | 3 | 2025 |
| Probabilistic Numerical Linear Algebra for Machine Learning J Wenger Universität Tübingen, 2023 | 1 | 2023 |
| Variational Deep Learning via Implicit Regularization J Wenger, B Coker, J Marusic, JP Cunningham NeurIPS Workshop on Structured Probabilistic Inference & Generative Modeling …, 2025 | | 2025 |
Philipp HennigUniversity of Tübingen, Tübingen AI CenterVerified email at uni-tuebingen.de
