Research output per year
Research output per year
Personal profile
Research
My main topics of interest are in Variational inference, Bayesian inference, and deep learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
UKÄ subject classification
- Probability Theory and Statistics
Free keywords
- Computational biology
- Machine learning
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Input precision, output excellence: the importance of data quality control and method selection in disease risk mapping —authors’ reply
Farooq, Z., Rocklöv, J., Wallin, J., Abiri, N., Sewe, M. O., Sjödin, H. & Semenza, J. C., 2024 Jul, In: The Lancet Regional Health - Europe. 42, 100947.Research output: Contribution to journal › Debate/Note/Editorial › peer-review
Open Access -
Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers
Farooq, Z., Rocklöv, J., Wallin, J., Abiri, N., Sewe, M. O., Sjödin, H. & Semenza, J. C., 2022, In: The Lancet Regional Health - Europe. 17, 100370.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep learning for inverse problems in quantum mechanics
Lantz, V., Abiri, N., Carlsson, G. & Pistol, M. E., 2021 May 5, In: International Journal of Quantum Chemistry. 121, 9Research output: Contribution to journal › Article › peer-review
Open Access -
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Abiri, N., Linse, B., Edén, P. & Ohlsson, M., 2019 Nov 6, In: Neurocomputing. 365, p. 137-146 10 p.Research output: Contribution to journal › Article › peer-review
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Statistical inference with deep latent variable models
Abiri, N., 2019, Lund: Lund University, Faculty of Science.Research output: Thesis › Doctoral Thesis (compilation)
Projects
- 1 Finished
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Statistical inference with deep latent variable models
Abiri, N. (Researcher), Ohlsson, M. (Researcher), Peterson, C. (Researcher) & Edén, P. (Researcher)
2014/11/01 → 2019/10/31
Project: Dissertation
Activities
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AI Lund WS: AI & ML Technologies
Wisbrant, J. (Organiser), Karlsson, M. (Speaker), Klang, M. (Speaker), Abiri, N. (Speaker), Johnander, J. (Speaker), Green, M. (Speaker), Gärtner, E. (Speaker) & Wisbrant, J. (Chair)
2019 Aug 30Activity: Participating in or organising an event › Organisation of public lecture/debate/seminar
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The rise of creative machines - GAN Technology for Fake Data as Resource
de Vries, K. (Organiser), Larsson, S. (Organiser), Wisbrant, J. (Organiser), Åström, K. (Organiser), Petzka, H. (Invited speaker), Abiri, N. (Invited speaker) & Jonsson, H. (Invited speaker)
2019 Aug 27Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course