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ORCIDJussi Leinonen
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2020 – today
- 2024
[c4]Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki:
Estimating treatment effects from single-arm trials via latent-variable modeling. AISTATS 2024: 2926-2934- [i10]Jussi Leinonen, Boris Bonev, Thorsten Kurth, Yair Cohen:
Modulated Adaptive Fourier Neural Operators for Temporal Interpolation of Weather Forecasts. CoRR abs/2410.18904 (2024) - [i9]Alberto Carpentieri, Jussi Leinonen, Jeff Adie, Boris Bonev, Doris Folini, Farah Hariri:
Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale. CoRR abs/2411.08843 (2024) - 2023
- [i8]Jussi Leinonen, Ulrich Hamann, Daniele Nerini, Urs Germann, Gabriele Franch:
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification. CoRR abs/2304.12891 (2023) - [i7]Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki:
Estimating treatment effects from single-arm trials via latent-variable modeling. CoRR abs/2311.03002 (2023) - 2022
- [i6]Jussi Leinonen, Ulrich Hamann, Urs Germann:
Seamless lightning nowcasting with recurrent-convolutional deep learning. CoRR abs/2203.10114 (2022) - [i5]Jussi Leinonen, Ulrich Hamann, Ioannis V. Sideris, Urs Germann:
Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model. CoRR abs/2211.01001 (2022) - 2021
- [j3]Jussi Leinonen
, Daniele Nerini, Alexis Berne:
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields With a Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 59(9): 7211-7223 (2021) - [c3]Jussi Leinonen:
Improvements to short-term weather prediction with recurrent-convolutional networks. IEEE BigData 2021: 5764-5769 - [c2]Jussi Leinonen:
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast Challenge. CIKM Workshops 2021 - [i4]Jussi Leinonen:
Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge. CoRR abs/2111.02121 (2021) - [i3]Jussi Leinonen:
Improvements to short-term weather prediction with recurrent-convolutional networks. CoRR abs/2111.06240 (2021) - 2020
- [i2]Jussi Leinonen, Daniele Nerini, Alexis Berne:
Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network. CoRR abs/2005.10374 (2020)
2010 – 2019
- 2019
- [i1]Oguzhan Gencoglu, Mark J. van Gils, Esin Guldogan, Chamin Morikawa, Mehmet Süzen, Mathias Gruber, Jussi Leinonen, Heikki Huttunen:
HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning. CoRR abs/1904.07633 (2019) - 2015
- [j2]Annakaisa von Lerber, Dmitri Moisseev, Jussi Leinonen, Jarmo Koistinen, Martti T. Hallikainen:
Modeling Radar Attenuation by a Low Melting Layer With Optimized Model Parameters at C-Band. IEEE Trans. Geosci. Remote. Sens. 53(2): 724-737 (2015) - 2011
- [j1]Jussi Leinonen, Dmitri Moisseev, V. Chandrasekar, Jarkko Koskinen:
Mapping Radar Reflectivity Values of Snowfall Between Frequency Bands. IEEE Trans. Geosci. Remote. Sens. 49(8): 3047-3058 (2011) - [c1]Annakaisa von Lerber, Dmitri Moisseev, Jussi Leinonen, Jani Tyynela, V. Chandrasekar, Martti T. Hallikainen:
Modeling melting layer radar observations at GPM frequencies; comparison to measurements. IGARSS 2011: 2507-2510
Coauthor Index
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