Bianca Dumitrascu

According to our database, Bianca Dumitrascu authored at least 16 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization.

Weichi Yao, Bianca Dumitrascu, Bryan R. Goldsmith, Yixin Wang

CoRR, February, 2026

2025

Variational Learning of Disentangled Representations.

Yuli Slavutsky, Ozgur Beker, David M. Blei, Bianca Dumitrascu

CoRR, June, 2025

2023

Hypergraph factorization for multi-tissue gene expression imputation.

Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon, Pietro Liò

Nat. Mac. Intell., July, 2023

Hypergraph Factorisation Expression Quantitative Trait Loci.

Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Pietro Liò, Eric R. Gamazon

Dataset, May, 2023

Sequential Gaussian Processes for Online Learning of Nonstationary Functions.

Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt

IEEE Trans. Signal Process., 2023

Dimensionless machine learning: Imposing exact units equivariance.

Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu

J. Mach. Learn. Res., 2023

2022

MarkerMap: nonlinear marker selection for single-cell studies.

Nabeel Sarwar, Wilson Gregory, George A. Kevrekidis, Soledad Villar, Bianca Dumitrascu

CoRR, 2022

2021

Causal network inference from gene transcriptional time-series response to glucocorticoids.

Jonathan Lu, Bianca Dumitrascu, Ian C. McDowell, Brian Jo, Alejandro Barrera, Linda K. Hong, Sarah M. Leichter, Timothy E. Reddy, Barbara E. Engelhardt

PLoS Comput. Biol., 2021

Approximate Latent Force Model Inference.

Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió

CoRR, 2021

2020

Sparse multi-output Gaussian processes for online medical time series prediction.

Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt

BMC Medical Informatics Decis. Mak., 2020

Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes.

Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Expanding the computational biologist's toolkit: Experimental design and multi-modality in genomics

Bianca Dumitrascu

PhD thesis, 2019

Statistical tests for detecting variance effects in quantitative trait studies.

Bianca Dumitrascu, Gregory Darnell, Julien Ayroles, Barbara E. Engelhardt

Bioinform., 2019

End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations.

Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data.

Rebecca Elyanow, Bianca Dumitrascu, Barbara E. Engelhardt, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2019

2018

PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits.

Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018