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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Dive into the research topics where Najmeh Abiri is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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)
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Variational auto-encoders with Student’s t-prior
Abiri, N. & Ohlsson, M., 2019, ESANN 2019 - Proceedings: The 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open Access
Projects
- 1 Finished
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Statistical inference with deep latent variable models
Abiri, N., Ohlsson, M., Peterson, C. & Edén, P.
2014/11/01 → 2019/10/31
Project: Dissertation
Activities
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AI Lund WS: AI & ML Technologies
Jonas Wisbrant (Organiser), Martin Karlsson (Speaker), Marcus Klang (Speaker), Najmeh Abiri (Speaker), Joakim Johnander (Speaker), Michael Green (Speaker), Erik Gärtner (Speaker) & Jonas Wisbrant (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
Katja de Vries (Organiser), Stefan Larsson (Organiser), Jonas Wisbrant (Organiser), Karl Åström (Organiser), Henning Petzka (Invited speaker), Najmeh Abiri (Invited speaker) & Håkan Jonsson (Invited speaker)
2019 Aug 27Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course