Estimation of Systematic and Spatially Correlated Components of Random Signals from Repeated Measurements: Application to Contrast Enhanced Computer Tomography Measurements. - Janne M. J. Huttunen; Mikael J. Turunen; Juuso T. J. Honkanen; Juha Töyräs; Jukka S. Jurvelin (SIAM J. Sci. Comput., 2016)

Approximation error approach in spatiotemporally chaotic models with application to Kuramoto-Sivashinsky equation. - Janne M. J. Huttunen; Jari P. Kaipio; Heikki Haario (Comput. Stat. Data Anal., 2018)

Correction of Model Reduction Errors in Simulations. - Antti Lipponen; Janne M. J. Huttunen; Sami Romakkaniemi; Harri Kokkola; Ville Kolehmainen (SIAM J. Sci. Comput., 2018)

Mobile Brainwaves: On the Interchangeability of Simple Authentication Tasks with Low-Cost, Single-Electrode EEG Devices. - Eeva-Sofia Haukipuro; Ville Kolehmainen; Janne M. J. Huttunen; Sebastian Remander; Janne Salo; Tuomas Takko; Le Ngu Nguyen; Stephan Sigg; Rainhard Dieter Findling (IEICE Trans. Commun., 2019)

Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data. - Janne M. J. Huttunen; Leo Kärkkäinen; Harri Lindholm (PLoS Comput. Biol., 2019)

Deep Learning Based OFDM Physical-Layer Receiver for Extreme Mobility. - Jaakko Pihlajasalo; Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Taneli Riihonen; Jukka Talvitie; Mikko A. Uusitalo; Mikko Valkama (ACSCC, 2021)

DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations. - Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Vesa Starck (ICC, 2021)

HybridDeepRx: Deep Learning Receiver for High-EVM Signals. - Jaakko Pihlajasalo; Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Taneli Riihonen; Jukka Talvitie; Alberto Brihuega; Mikko A. Uusitalo; Mikko Valkama (PIMRC, 2021)

DeepRx: Fully Convolutional Deep Learning Receiver. - Mikko Honkala; Dani Korpi; Janne M. J. Huttunen (IEEE Trans. Wirel. Commun., 2021)

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. - Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Fayçal Ait Aoudia; Jakob Hoydis (CoRR, 2022)

Deep Learning-Based Pilotless Spatial Multiplexing. - Dani Korpi; Mikko Honkala; Janne M. J. Huttunen (ACSSC, 2023)

DeepTx: Deep Learning Beamforming With Channel Prediction. - Janne M. J. Huttunen; Dani Korpi; Mikko Honkala (IEEE Trans. Wirel. Commun., 2023)

Deep Learning OFDM Receivers for Improved Power Efficiency and Coverage. - Jaakko Pihlajasalo; Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Taneli Riihonen; Jukka Talvitie; Alberto Brihuega; Mikko A. Uusitalo; Mikko Valkama (IEEE Trans. Wirel. Commun., 2023)

Adapting to Reality: Over-the-Air Validation of AI - Based Receivers Trained with Simulated Channels. - Riku Luostari; Dani Korpi; Mikko Honkala; Janne M. J. Huttunen (WCNC, 2025)

Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer. - Zhenrong Liu; Janne M. J. Huttunen; Mikko Honkala (CoRR, 2025)