| 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 | 308 | 2022 |
| A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements R Lopez, A Nazaret, M Langevin, J Samaran, J Regier, MI Jordan, ... arXiv preprint arXiv:1905.02269, 2019 | 90 | 2019 |
| A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. arXiv.(2019) R Lopez, A Nazaret, M Langevin, J Samaran, J Regier, MI Jordan, ... arXiv preprint arXiv:1905.02269, 1905 | 12 | 1905 |
| Stochastic flows and geometric optimization on the orthogonal group K Choromanski, D Cheikhi, J Davis, V Likhosherstov, A Nazaret, ... International Conference on Machine Learning, 1918-1928, 2020 | 6 | 2020 |
| Variational inference for infinitely deep neural networks A Nazaret, D Blei International Conference on Machine Learning, 16447-16461, 2022 | 5 | 2022 |
| Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor–immune hubs S He, Y Jin, A Nazaret, L Shi, X Chen, S Rampersaud, BS Dhillon, ... Nature Biotechnology, 1-13, 2024 | 4* | 2024 |
| Modeling personalized heart rate response to exercise and environmental factors with wearables data A Nazaret, S Tonekaboni, G Darnell, SY Ren, G Sapiro, AC Miller NPJ Digital Medicine 6 (1), 207, 2023 | 4* | 2023 |
| Stable differentiable causal discovery A Nazaret, J Hong, E Azizi, D Blei arXiv preprint arXiv:2311.10263, 2023 | 3 | 2023 |
| A large-scale observational study of the causal effects of a behavioral health nudge A Nazaret, G Sapiro Science Advances 9 (38), eadi1752, 2023 | 3 | 2023 |
| The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data M Chevalley, J Sackett-Sanders, Y Roohani, P Notin, A Bakulin, ... arXiv preprint arXiv:2308.15395, 2023 | 3 | 2023 |
| Deep generative model deciphers derailed trajectories in acute myeloid leukemia A Nazaret, JL Fan, VP Lavallee, AE Cornish, V Kiseliovas, I Masilionis, ... bioRxiv, 2023 | 2 | 2023 |
| On the Misspecification of Linear Assumptions in Synthetic Controls AOR Nazaret, C Shi, D Blei International Conference on Artificial Intelligence and Statistics, 3790-3798, 2024 | 1 | 2024 |
| Extremely Greedy Equivalence Search A Nazaret, D Blei The 40th Conference on Uncertainty in Artificial Intelligence, 0 | 1 | |
| Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees N Beltran-Velez, AA Grande, A Nazaret, A Kucukelbir, D Blei arXiv preprint arXiv:2406.07658, 2024 | | 2024 |
| Physiological predictions using machine learning A Miller, G Darnell, GR Sapiro, SS Tonekaboni, Y Ren, A Nazaret US Patent App. 18/076,367, 2024 | | 2024 |
| Hypothesis Testing the Circuit Hypothesis in LLMs C Shi, N Beltran-Velez, A Nazaret, C Zheng, A Garriga-Alonso, A Jesson, ... ICML 2024 Workshop on Mechanistic Interpretability, 0 | | |
| BetterBoost-Inference of Gene Regulatory Networks with Perturbation Data A Nazaret, J Hong | | |
| Probabilistic basis decomposition for characterizing temporal dynamics of gene expression A Nazaret, JL Fan, D Pe’er, E Azizi gene expression 1 (2), 3, 0 | | |
