1 citations · 1 across the 4 of their papers we have counts for
5 papers
Calibrated Multivariate Distributional Regression with Pre-Rank Regularization
Aya Laajil, Elnura Zhalieva, Naomi Desobry +1
The goal of probabilistic prediction is to issue predictive distributions that are as informative as possible, subject to being calibrated. Despite substantial progress in the univ…
Enforcing Calibration in Multi-Output Probabilistic Regression with Pre-rank Regularization
Naomi Desobry, Elnura Zhalieva, Souhaib Ben Taieb
Probabilistic models must be well calibrated to support reliable decision-making. While calibration in single-output regression is well studied, defining and achieving multivariate…
Segmentation-Guided CT Synthesis with Pixel-Wise Conformal Uncertainty Bounds
David Vallmanya Poch, Yorick Estievenart, Elnura Zhalieva +3
Accurate dose calculations in proton therapy rely on high-quality CT images. While planning CTs (pCTs) serve as a reference for dosimetric planning, Cone Beam CT (CBCT) is used thr…
Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness
Abdelmajid Essofi, Ridwan Salahuddeen, Munachiso Nwadike +5
The training or fine-tuning of machine learning, vision, and language models is often implemented as a pipeline: a sequence of stages encompassing data preparation, model training…
Energy Pricing in P2P Energy Systems Using Reinforcement Learning
Nicolas Avila, Shahad Hardan, Elnura Zhalieva +2
The increase in renewable energy on the consumer side gives place to new dynamics in the energy grids. Participants in a microgrid can produce energy and trade it with their peers…