| Active invariant causal prediction: Experiment selection through stability JL Gamella, C Heinze-Deml Advances in Neural Information Processing Systems (NeurIPS) 34, 2020, 2020 | 35 | 2020 |
| Perturbations and causality in gaussian latent variable models A Taeb, JL Gamella, C Heinze-Deml, P Bühlmann arXiv preprint arXiv:2101.06950v3, 2021 | 5 | 2021 |
| Characterization and greedy learning of Gaussian structural causal models under unknown interventions JL Gamella, A Taeb, C Heinze-Deml, P Bühlmann arXiv preprint arXiv:2211.14897, 2022 | 2 | 2022 |
| The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology JL Gamella, J Peters, P Bühlmann arXiv preprint arXiv:2404.11341, 2024 | | 2024 |
| Learning and scoring Gaussian latent variable causal models with unknown additive interventions A Taeb, JL Gamella, C Heinze-Deml, P Bühlmann arXiv preprint arXiv:2101.06950, 2021 | | 2021 |
Christina Heinze-DemlApple AI/ML Researchapple.com의 이메일 확인됨
