Bica, Ioana

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

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

Buterez, D., Bica, I., Tariq, I., Andrés-Terré, H., & Liò, P. (2022) · Bioinformatics

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 44

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

Tomasev, N., Bica, I., McWilliams, B., Buesing, L., Pascanu, R., Blundell, C., & Mitrovic, J. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 22

PaliGemma: A versatile 3B VLM for transfer

Beyer, L., Steiner, A., Pinto, A. S., Kolesnikov, A., Wang, X., Salz, D., Neumann, M., Alabdulmohsin, I., Tschannen, M., Bugliarello, E., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 17

Strictly Batch Imitation Learning by Energy-based Distribution Matching

Jarrett, D., Bica, I., & van der Schaar, M. (2020) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 17

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

Bica, I., Ilić, A., Bauer, M., Erdogan, G., Bošnjak, M., Kaplanis, C., Gritsenko, A. A., Minderer, M., Blundell, C., Pascanu, R., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 4