Publications

(2026). cAPM: Continual AI-Assisted Pace-Mapping with Active Learning.
(2026). Gradient-based active learning for intelligent discovery of colloidal phase diagrams. Royal Society of Chemistry.
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(2025). ROSE: RADICAL Orchestrator for Surrogate Exploration. In SC Workshops ‘25: Proceedings of the SC ‘25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis.
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(2025). Meta-learning based Active Learning Approach for Computer-Assisted Pace-Mapping. In CinC.
(2025). AI-Assisted Pace-Mapping using Continual-Learning Methods in Bayesian Optimization. In CinC.
(2024). On the interdependence between data selection and architecture optimization in deep active learning. TMLR.
(2024). Feasibility study on active learning of smart surrogates for scientific simulations.
(2023). Active learning based Cardiac Tissue Parameter Estimation for Personalized model exploiting predictive uncertainty. In CinC.
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(2021). Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning. Frontiers in Physiology.
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(2020). Semi-supervised Medical Image Classification with Global Latent Mixing. In MICCAI.