Niklas Wahlström

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Venues

CoRR

IEEE Signal Process. Lett.

L4DC

CDC

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Philipp Pilar, Niklas Wahlström
Physics-informed neural networks with unknown measurement noise. L4DC (2024)
Philipp Pilar, Niklas Wahlström
Probabilistic matching of real and generated data statistics in generative adversarial networks. CoRR (2023)
Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
Invertible Kernel PCA with Random Fourier Features. CoRR (2023)
Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
Invertible Kernel PCA With Random Fourier Features. IEEE Signal Process. Lett. 30 (2023)
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
Incorporating Sum Constraints into Multitask Gaussian Processes. CoRR (2022)
Philipp Pilar, Niklas Wahlström
Physics-informed neural networks with unknown measurement noise. CoRR (2022)
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström
Incorporating Sum Constraints into Multitask Gaussian Processes. Trans. Mach. Learn. Res. 2022 (2022)
Daniel Gedon, Antônio H. Ribeiro, Niklas Wahlström, Thomas B. Schön
First Steps Towards Self-Supervised Pretraining of the 12-Lead ECG. CinC (2021)
Carl R. Andersson, Niklas Wahlström, Thomas B. Schön
Learning deep autoregressive models for hierarchical data. CoRR (2021)
Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung
Deep State Space Models for Nonlinear System Identification. CoRR (2020)
Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
Deep Convolutional Networks in System Identification. CoRR (2019)
Carl R. Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
Deep Convolutional Networks in System Identification. CDC (2019)
Zenith Purisha, Carl Jidling, Niklas Wahlström, Simo Särkkä, Thomas B. Schön
Probabilistic approach to limited-data computed tomography reconstruction. CoRR (2018)
Carl R. Andersson, Niklas Wahlström, Thomas B. Schön
Data-Driven Impulse Response Regularization via Deep Learning. CoRR (2018)
Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön
Linearly constrained Gaussian processes. NIPS (2017)
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
From Pixels to Torques: Policy Learning with Deep Dynamical Models. CoRR (2015)
Arno Solin, Manon Kok, Niklas Wahlström, Thomas B. Schön, Simo Särkkä
Modeling and interpolation of the ambient magnetic field by Gaussian processes. CoRR (2015)
John-Alexander M. Assael, Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models. CoRR (2015)
Niklas Wahlström, Thomas B. Schön, Marc Peter Deisenroth
Learning deep dynamical models from image pixels. CoRR (2014)

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Publication Activity (10 Years)

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Niklas Wahlström