Spectro-Temporal ECG Analysis for atrial fibrillation Detection. - Zheng Zhao 004; Simo Särkkä; Ali Bahrami Rad (MLSP, 2018)

Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method. - Rui Gao; Filip Tronarp; Zheng Zhao 004; Simo Särkkä (MLSP, 2019)

Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network. - Ali Bahrami Rad; Morteza Zabihi; Zheng Zhao 004; Moncef Gabbouj; Aggelos K. Katsaggelos; Simo Särkkä (CoRR, 2019)

State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations. - Zheng Zhao 004; Filip Tronarp; Roland Hostettler; Simo Särkkä (ICASSP, 2020)

Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters. - Ajinkya Gorad; Zheng Zhao 004; Simo Särkkä (MLSP, 2020)

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection. - Zheng Zhao 004; Simo Särkkä; Ali Bahrami Rad (J. Signal Process. Syst., 2020)

Gaussian Process Regression in Logarithmic Time. - Adrien Corenflos; Zheng Zhao 004; Simo Särkkä (CoRR, 2021)

Deep state-space Gaussian processes. - Zheng Zhao 004; Muhammad F. Emzir; Simo Särkkä (Stat. Comput., 2021)

Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering. - Zheng Zhao 004; Toni Karvonen; Roland Hostettler; Simo Särkkä (IEEE Trans. Autom. Control., 2021)

Temporal Gaussian Process Regression in Logarithmic Time. - Adrien Corenflos; Zheng Zhao 004; Simo Särkkä (FUSION, 2022)

Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. - Muhammad F. Emzir; Niki Andreas Lopi; Zheng Zhao 004; Syeda Sakira Hassan; Simo Särkkä (FUSION, 2022)

Non-Linear Gaussian Smoothing With Taylor Moment Expansion. - Zheng Zhao 004; Simo Särkkä (IEEE Signal Process. Lett., 2022)

Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review. - Sarang Thombre; Zheng Zhao 004; Henrik Ramm-Schmidt; José M. Vallet Garcia; Tuomo Malkamäki; Sergey Nikolskiy; Toni Hammarberg; Hiski Nuortie; Mohammad Zahidul H. Bhuiyan; Simo Särkkä; Ville V. Lehtola (IEEE Trans. Intell. Transp. Syst., 2022)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. - Marcos V. Conde; Manuel Kolmet; Tim Seizinger; Tom E. Bishop; Radu Timofte; Xiangyu Kong; Dafeng Zhang; Jinlong Wu; Fan Wang 005; Juewen Peng; Zhiyu Pan; Chengxin Liu; et al. (CVPR Workshops, 2023)

Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. - Ziwei Luo; Fredrik K. Gustafsson; Zheng Zhao 004; Jens Sjölund; Thomas B. Schön (CVPR Workshops, 2023)

NTIRE 2023 Image Shadow Removal Challenge Report. - Florin-Alexandru Vasluianu; Tim Seizinger; Radu Timofte; Shuhao Cui; Junshi Huang; Shuman Tian; Mingyuan Fan 002; Jiaqi Zhang; Li Zhu 003; Xiaoming Wei; Xiaolin Wei; Ziwei Luo; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Ming Cheng 002; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao 001; Xuhan Sheng; et al. (CVPR Workshops, 2023)

Image Restoration with Mean-Reverting Stochastic Differential Equations. - Ziwei Luo; Fredrik K. Gustafsson; Zheng Zhao 004; Jens Sjölund; Thomas B. Schön (ICML, 2023)

Controlling Vision-Language Models for Universal Image Restoration. - Ziwei Luo; Fredrik K. Gustafsson; Zheng Zhao 004; Jens Sjölund; Thomas B. Schön (CoRR, 2023)

Multidimensional projection filters via automatic differentiation and sparse-grid integration. - Muhammad F. Emzir; Zheng Zhao 004; Simo Särkkä (Signal Process., 2023)

Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals. - Zheng Zhao 004; Simo Särkkä; Jens Sjölund; Thomas B. Schön (IEEE Trans. Signal Process., 2023)

On Feynman-Kac training of partial Bayesian neural networks. - Zheng Zhao 004; Sebastian Mair 001; Thomas B. Schön; Jens Sjölund (AISTATS, 2024)

NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. - Jie Liang 007; Radu Timofte; Qiaosi Yi; Shuaizheng Liu; Lingchen Sun; Rongyuan Wu; Xindong Zhang; Hui Zeng 001; Lei Zhang 006; Yibin Huang; Shuai Liu 009; Yongqiang Li; et al. (CVPR Workshops, 2024)

Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. - Ziwei Luo; Fredrik K. Gustafsson; Zheng Zhao 004; Jens Sjölund; Thomas B. Schön (CVPR Workshops, 2024)

Controlling Vision-Language Models for Multi-Task Image Restoration. - Ziwei Luo; Fredrik K. Gustafsson; Zheng Zhao 004; Jens Sjölund; Thomas B. Schön (ICLR, 2024)

Conditional sampling within generative diffusion models. - Zheng Zhao 004; Ziwei Luo; Jens Sjölund; Thomas B. Schön (CoRR, 2024)

Taming Diffusion Models for Image Restoration: A Review. - Ziwei Luo; Fredrik K. Gustafsson; Zheng Zhao 004; Jens Sjölund; Thomas B. Schön (CoRR, 2024)

Gaussian-Based Parametric Bijections for Automatic Projection Filters. - Muhammad F. Emzir; Zheng Zhao 004; Lahouari Cheded; Simo Särkkä (IEEE Trans. Autom. Control., 2024)

Rao-Blackwellized Particle Filter Using Noise Adaptive Kalman Filter for Fully Mixing State-Space Models. - Tabish Badar; Simo Särkkä; Zheng Zhao 004; Arto Visala (IEEE Trans. Aerosp. Electron. Syst., 2024)

Conditioning diffusion models by explicit forward-backward bridging. - Adrien Corenflos; Zheng Zhao 004; Thomas B. Schön; Simo Särkkä; Jens Sjölund (AISTATS, 2025)