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Ioana Bica
Ioana Bica
Research Scientist at DeepMind
Підтверджена електронна адреса в google.com
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Посилання
Рік
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
11952024
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
7412020
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
2202021
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
2012020
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
1362024
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
1252020
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
1222020
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
992022
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
722020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
D Jarrett*, I Bica*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
692020
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
502021
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
482020
Invariant Causal Imitation Learning for Generalizable Policies
I Bica*, D Jarrett*, M van der Schaar
Advances in Neural Information Processing Systems 34, 2021
452021
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
442021
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
382021
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
352022
Time-series generation by contrastive imitation
D Jarrett, I Bica, M van der Schaar
Advances in neural information processing systems 34, 28968-28982, 2021
352021
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
332022
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
292023
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
292021
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