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 | 431 | 2022 |
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 | 14 | 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 |
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 | 7 | 2023 |
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 | 3 | 2023 |
Towards representation learning for weighting problems in design-based causal inference O Clivio, A Feller, C Holmes arXiv preprint arXiv:2409.16407, 2024 | 2 | 2024 |
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 | 2 | 2024 |
Towards Principled Representation Learning to Improve Overlap in Treatment Effect Estimation O Clivio, D Bruns-Smith, A Feller, CC Holmes 9th Causal Inference Workshop at UAI 2024, 2024 | 1 | 2024 |
Towards representation learning for general weighting problems in causal inference O Clivio, A Feller, CC Holmes Causal Representation Learning Workshop at NeurIPS 2023, 0 | 1 | |
Cell-Type Annotation Priors for scRNA-seq O Clivio, D Wulsin, E Kiner, N Solomon, L Voloch, J Regier | | |