Ioana Bica

Ioana Bica

University of Oxford

H-index: 16

Europe-United Kingdom

About Ioana Bica

Ioana Bica, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Machine Learning, Causal Inference, Representation Learning, Imitation Learning, Healthcare.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving fine-grained understanding in image-text pre-training

Neural algorithmic reasoning with causal regularisation

Dynamic outcomes-based clustering of disease trajectory in mechanically ventilated patients

CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

Causal inference methods for supporting, understanding, and improving decision-making

Data-iq: Characterizing subgroups with heterogeneous outcomes in tabular data

Transfer learning on heterogeneous feature spaces for treatment effects estimation

Ioana Bica Information

University

Position

PhD Student The Alan Turing Institute

Citations(all)

1606

Citations(since 2020)

1600

Cited By

290

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Ioana Bica Skills & Research Interests

Machine Learning

Causal Inference

Representation Learning

Imitation Learning

Healthcare

Top articles of Ioana Bica

Improving fine-grained understanding in image-text pre-training

arXiv preprint arXiv:2401.09865

2024/1/18

Ioana Bica
Ioana Bica

H-Index: 7

Neural algorithmic reasoning with causal regularisation

2023/7/3

Ioana Bica
Ioana Bica

H-Index: 7

Dynamic outcomes-based clustering of disease trajectory in mechanically ventilated patients

2023/2/13

CellVGAE: an unsupervised scRNA-seq analysis workflow with graph attention networks

Bioinformatics

2022/3/1

David Buterez
David Buterez

H-Index: 0

Ioana Bica
Ioana Bica

H-Index: 7

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

arXiv preprint arXiv:2201.05119

2022/1/13

Causal inference methods for supporting, understanding, and improving decision-making

2022

Ioana Bica
Ioana Bica

H-Index: 7

Data-iq: Characterizing subgroups with heterogeneous outcomes in tabular data

2022/10/24

Transfer learning on heterogeneous feature spaces for treatment effects estimation

Advances in Neural Information Processing Systems

2022/12/6

Pushing the limits of self-supervised learning: Can we outperform supervised learning without labels?

2022/9/29

Ioana Bica
Ioana Bica

H-Index: 7

DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction

arXiv preprint arXiv:2208.01373

2022/8/2

Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability

2022/6/16

Disentangled counterfactual recurrent networks for treatment effect inference over time

arXiv preprint arXiv:2112.03811

2021/12/7

Synctwin: Treatment effect estimation with longitudinal outcomes

Advances in Neural Information Processing Systems

2021/12/6

Invariant Causal Imitation Learning for Generalizable Policies

2021

Time-series generation by contrastive imitation

2021

Feature importance in multi-dimensional tissue-engineering datasets: Random forest assisted optimisation of experimental variables for collagen scaffolds

Applied Physics Reviews

2021/12/1

Malavika Nair
Malavika Nair

H-Index: 2

Ioana Bica
Ioana Bica

H-Index: 7

The medkit-learn (ing) environment: Medical decision modelling through simulation

Neural Information Processing Systems (NeurIPS) track on Datasets and Benchmarks

2021/6/8

Model-Attentive Ensemble Learning for Sequence Modeling

2021/2/23

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge

arXiv preprint arXiv:2102.06271

2021/2/11

Learning Matching Representations for Individualized Organ Transplantation Allocation

2021/3/18

See List of Professors in Ioana Bica University(University of Oxford)

Co-Authors

academic-engine