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Career

· Postdoctoral Researcher, University of Warwick - Natural Language Processing Group2024–
· PhD Student, University of Warwick2023–
· Contributor, GitHub2019–

Publications (11)

TRU-NET: a deep learning approach to high resolution prediction of rainfall
Machine-mediated learning · 2020
80
cited
AIFS-CRPS: ensemble forecasting using a model trained with a loss function based on the continuous ranked probability score
npj Artificial Intelligence · 2024
48
cited
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Journal of machine learning research · 2021
40
cited
RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators
North American Chapter of the Association for Computational Linguistics · 2022
5
cited
Probabilistic Forecasting with Conditional Generative Networks via Scoring Rule Minimization
arXiv.org · 2021
4
cited
Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula
2023
3
cited
A generalized LLMs framework to support public health financing through probabilistic predictions and uncertainty quantification
Artif. Intell. Medicine · 2025
Budgetary Allocation and Health for All: Computational Methods for Population Well-being
Social Science Research Network · 2024
Choinomics & The South Korean Economy
2015
Oil Mania: The Winners & Losers
2014
Part 1: Training Sets & ASG Transforms
2017
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Rilwan Adewoyin | Researcher Profile | Sotabase | Sotabase