| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 1031 | 2024 |
| Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study P Baqui*, I Bica*, V Marra, A Ercole, M van Der Schaar The Lancet Global Health 8 (8), e1018-e1026, 2020 | 758 | 2020 |
| From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges I Bica, AM Alaa, C Lambert, M Van Der Schaar Clinical Pharmacology & Therapeutics 109 (1), 87-100, 2021 | 224 | 2021 |
| Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations I Bica, AM Alaa, J Jordon, M van der Schaar International Conference on Learning Representations (ICLR), 2020 | 201 | 2020 |
| Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks I Bica*, J Jordon*, M van der Schaar Neural Information Processing Systems (NeurIPS), 2020 | 124 | 2020 |
| Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders I Bica, AM Alaa, M van der Schaar International Conference on Machine Learning (ICML), 2020 | 120 | 2020 |
| Paligemma: A versatile 3b vlm for transfer L Beyer, A Steiner, AS Pinto, A Kolesnikov, X Wang, D Salz, M Neumann, ... arXiv preprint arXiv:2407.07726, 2024 | 117 | 2024 |
| Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? N Tomasev*, I Bica*, B McWilliams*, L Buesing, R Pascanu, C Blundell, ... arXiv preprint arXiv:2201.05119, 2022 | 100 | 2022 |
| Machine learning for clinical trials in the era of COVID-19 WR Zame, I Bica, C Shen, A Curth, HS Lee, S Bailey, J Weatherall, ... Statistics in biopharmaceutical research 12 (4), 506-517, 2020 | 70 | 2020 |
| Strictly Batch Imitation Learning by Energy-based Distribution Matching D Jarrett*, I Bica*, M van der Schaar Neural Information Processing Systems (NeurIPS), 2020 | 67 | 2020 |
| Clairvoyance: A Pipeline Toolkit for Medical Time Series D Jarrett*, J Yoon*, I Bica, Z Qian, A Ercole, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 51 | 2021 |
| Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors P Baqui, V Marra, AM Alaa, I Bica, A Ercole, M van der Schaar medarxiv, 2021 | 48 | 2021 |
| OrganITE: Optimal transplant donor organ offering using an individual treatment effect J Berrevoets, J Jordon, I Bica, A Gimson, M van der Schaar Neural Information Processing Systems (NeurIPS), 2020 | 47 | 2020 |
| Invariant Causal Imitation Learning for Generalizable Policies I Bica*, D Jarrett*, M van der Schaar Advances in Neural Information Processing Systems 34, 2021 | 43 | 2021 |
| Learning "What-if" Explanations for Sequential Decision-Making I Bica, D Jarrett, A Hüyük, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 38 | 2021 |
| CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks D Buterez, I Bica, I Tariq, H Andrés-Terré, P Liò Bioinformatics 38 (5), 1277-1286, 2022 | 35 | 2022 |
| Data-iq: Characterizing subgroups with heterogeneous outcomes in tabular data N Seedat, J Crabbé, I Bica, M van der Schaar Advances in Neural Information Processing Systems 35, 23660-23674, 2022 | 34 | 2022 |
| Time-series generation by contrastive imitation D Jarrett, I Bica, M van der Schaar Advances in neural information processing systems 34, 28968-28982, 2021 | 34 | 2021 |
| Synctwin: Treatment effect estimation with longitudinal outcomes Z Qian, Y Zhang, I Bica, A Wood, M van der Schaar Advances in Neural Information Processing Systems 34, 3178-3190, 2021 | 29 | 2021 |
| Neural algorithmic reasoning with causal regularisation B Bevilacqua, K Nikiforou, B Ibarz, I Bica, M Paganini, C Blundell, ... International Conference on Machine Learning, 2272-2288, 2023 | 28 | 2023 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteE-mailová adresa ověřena na: ee.ucla.edu