Research output per year
Research output per year
Personal profile
Education/Academic qualification
Doctoral degree, Engineering and Technology, Indian Institute of Technology Madras
Award Date: 21 Apr 2020
Doctoral degree, Engineering and Technology, Indian Institute of Technology Madras
Award Date: 20 Apr 2020
Bachelor's degree, Engineering and Technology, University of Kerala
Award Date: 1 Apr 2012
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Dive into the research topics where Vishnu Raj 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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HAPNEST : efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
Wharrie, S., Yang, Z., Raj, V., Monti, R., Gupta, R., Wang, Y., Martin, A., O'Connor, L. J., Kaski, S., Marttinen, P., Palamara, P. F., Lippert, C. & Ganna, A., 2 Sept 2023, In: Bioinformatics (Oxford, England). 39, 9, p. 1-10 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
Raj, V., Cui, T., Heinonen, M. & Marttinen, P., 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J-W. (eds.). JMLR, p. 6741-6763 (Proceedings of Machine Learning Research; vol. 206).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile3 Downloads (Pure) -
HAPNEST: an efficient tool for generating large-scale genetics datasets from limited training data
Wharrie, S., Yang, Z., Raj, V., Monti, R., Gupta, R., Wang, Y., Martin, A., O'Connor, L. J., Kaski, S., Marttinen, P., Palamara, P. F., Lippert, C. & Ganna, A., 2022.Research output: Contribution to conference › Abstract › Scientific › peer-review
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HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes
INTERVENE Consortium, 22 Dec 2022, (Submitted) In: bioRxiv.Research output: Contribution to journal › Article › Scientific
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-: Finnish Center for Artificial Intelligence
Marttinen, P., Raj, V. & Gröhn, T.
01/01/2023 → 31/12/2024
Project: Academy of Finland: Other research funding
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-: INTERVENE/Marttinen
Marttinen, P., Moen, H. & Raj, V.
01/01/2021 → 31/12/2025
Project: EU: Framework programmes funding
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DATALIT: Data Literacy for Responsible Decision-Making
Marttinen, P., Ji, S., Gröhn, T., Honkamaa, J., Kumar, Y., Pöllänen, A., Tiwari, P., Raj, V. & Ojala, F.
01/10/2020 → 30/09/2023
Project: Academy of Finland: Strategic research funding
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FCAI: Finnish Center for Artificial Intelligence (FCAI)
Marttinen, P., Raj, V. & Gröhn, T.
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding