| Climateset: A large-scale climate model dataset for machine learning J Kaltenborn, C Lange, V Ramesh, P Brouillard, Y Gurwicz, C Nagda, ... Advances in Neural Information Processing Systems 36, 21757-21792, 2023 | 6 | 2023 |
| Automatic classification and segmentation of Snow Micro Penetrometer profiles with machine learning algorithms J Kaltenborn, AR Macfarlane, V Clay, M Schneebeli EGUsphere 2022, 1-30, 2022 | 2 | 2022 |
| Machine Learning for Snow Stratigraphy Classification J Kaltenborn, V Clay, AR Macfarlane, M Schneebeli Tackling Climate Change with Machine Learning workshop at NeurIPS, 2021 | 2 | 2021 |
| Automatic snow type classification of snow micropenetrometer profiles with machine learning algorithms J Kaltenborn, AR Macfarlane, V Clay, M Schneebeli Geoscientific Model Development 16 (15), 4521-4550, 2023 | 1 | 2023 |
| Ice Lead Network Analysis J Kaltenborn, V Ramesh, T Wright EGU General Assembly Conference Abstracts, pp. EGU22–8945 880, 2022 | 1 | 2022 |
| Snowpack Stability Prediction with Machine Learning J Kaltenborn, T Di Pietro, D Rolnick, M Schneebeli EGU24, 2024 | | 2024 |
| Towards Causal Representations of Climate Model Data J Boussard, C Nagda, J Kaltenborn, CEE Lange, P Brouillard, Y Gurwicz, ... arXiv preprint arXiv:2312.02858, 2023 | | 2023 |
| A Comparison of Machine Learning Algorithms for the Segmentation and Classification of Snow Micro Penetrometer Profiles on Arctic Sea Ice J Kaltenborn, V Clay, AR Macfarlane, JM Lloyd King, M Schneebeli EGU General Assembly Conference Abstracts, EGU21-15637, 2021 | | 2021 |
| Back to the Future-A Deep Learning Framework for Bias Correction in CMIP6 Models M Alexandrovsky, M ben Ahmed, J Kaltenborn, J Lagemann, C Lange | | 2021 |
| Causal Representation Learning in Temporal Data via Single-Parent Decoding P Brouillard, S Lachapelle, J Kaltenborn, Y Gurwicz, D Sridhar, A Drouin, ... | | |
