| A Python library for probabilistic analysis of single-cell omics data A Gayoso, R Lopez, G Xing, P Boyeau, V Valiollah Pour Amiri, J Hong, ... Nature biotechnology 40 (2), 163-166, 2022 | 302 | 2022 |
| Detecting zero-inflated genes in single-cell transcriptomics data O Clivio, R Lopez, J Regier, A Gayoso, MI Jordan, N Yosef bioRxiv, 794875, 2019 | 11 | 2019 |
| Neural score matching for high-dimensional causal inference O Clivio, F Falck, B Lehmann, G Deligiannidis, C Holmes International Conference on Artificial Intelligence and Statistics, 7076-7110, 2022 | 10 | 2022 |
| A critical review of Causal Inference benchmarks for Large Language Models L Yang, O Clivio, V Shirvaikar, F Falck AAAI 2024 Workshop on''Are Large Language Models Simply Causal Parrots?'', 2023 | 2 | 2023 |
| A Critical Review of Causal Reasoning Benchmarks for Large Language Models L Yang, V Shirvaikar, O Clivio, F Falck AAAI 2024 Workshop on''Are Large Language Models Simply Causal Parrots?'', 2024 | | 2024 |
| PWSHAP: a path-wise explanation model for targeted variables L Ter-Minassian, O Clivio, K Diazordaz, RJ Evans, CC Holmes International Conference on Machine Learning, 34054-34089, 2023 | | 2023 |
| Towards Representation Learning for Weighting Problems in Design-Based Causal Inference O Clivio, A Feller, CC Holmes The 40th Conference on Uncertainty in Artificial Intelligence, 0 | | |
| Towards representation learning for general weighting problems in causal inference O Clivio, A Feller, CC Holmes Causal Representation Learning Workshop at NeurIPS 2023, 0 | | |
| Cell-Type Annotation Priors for scRNA-seq O Clivio, D Wulsin, E Kiner, N Solomon, L Voloch, J Regier | | |
