| A Framework for Evaluating Approximation Methods for Gaussian Process Regression. K Chalupka, CKI Williams, I Murray Journal of Machine Learning Research 14 (1), 2013 | 216 | 2013 |
| Visual Causal Feature Learning K Chalupka, P Perona, F Eberhardt Proceedings of the Thirty-First Conference on Uncertainty in Artificial …, 2015 | 164 | 2015 |
| Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications B Brattoli, J Tighe, F Zhdanov, P Perona, K Chalupka CVPR 2020, 2020 | 156 | 2020 |
| Causal feature learning: an overview K Chalupka, F Eberhardt, P Perona Behaviormetrika 44, 137-164, 2017 | 88 | 2017 |
| Multi-Level Cause-Effect Systems K Chalupka, P Perona, F Eberhardt 19th International Conference on Artificial Intelligence and Statistics …, 2016 | 62 | 2016 |
| Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data K Chalupka, T Bischoff, P Perona, F Eberhardt Proceedings of the Thirty-Second Conference on Uncertainty in Artificial …, 2016 | 44 | 2016 |
| Fast conditional independence test for vector variables with large sample sizes K Chalupka, P Perona, F Eberhardt arXiv preprint arXiv:1804.02747, 2018 | 34 | 2018 |
| Causal regularization MT Bahadori, K Chalupka, E Choi, R Chen, WF Stewart, J Sun arXiv preprint arXiv:1702.02604, 2017 | 31 | 2017 |
| Adjusting confidence thresholds based on review and ML outputs F Zhdanov, SV Joshi, P Sharma, AV Shinkorenko, W Barkley, S Stefani, ... US Patent 11,501,210, 2022 | 13 | 2022 |
| Estimating causal direction and confounding of two discrete variables K Chalupka, F Eberhardt, P Perona arXiv preprint arXiv:1611.01504, 2016 | 11 | 2016 |
| Generalized regressive motion: a visual cue to collision K Chalupka, M Dickinson, P Perona Bioinspiration & Biomimetics 11 (4), 2016 | 11 | 2016 |
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
