Picture for Niklas Wahlström

Niklas Wahlström

Repulsive Ensembles for Bayesian Inference in Physics-informed Neural Networks

Add code
May 22, 2025
Viaarxiv icon

Probabilistic matching of real and generated data statistics in generative adversarial networks

Add code
Jun 19, 2023
Figure 1 for Probabilistic matching of real and generated data statistics in generative adversarial networks
Figure 2 for Probabilistic matching of real and generated data statistics in generative adversarial networks
Figure 3 for Probabilistic matching of real and generated data statistics in generative adversarial networks
Figure 4 for Probabilistic matching of real and generated data statistics in generative adversarial networks
Viaarxiv icon

Invertible Kernel PCA with Random Fourier Features

Add code
Mar 09, 2023
Viaarxiv icon

Physics-informed neural networks with unknown measurement noise

Add code
Nov 28, 2022
Viaarxiv icon

Incorporating Sum Constraints into Multitask Gaussian Processes

Add code
Feb 03, 2022
Figure 1 for Incorporating Sum Constraints into Multitask Gaussian Processes
Figure 2 for Incorporating Sum Constraints into Multitask Gaussian Processes
Figure 3 for Incorporating Sum Constraints into Multitask Gaussian Processes
Figure 4 for Incorporating Sum Constraints into Multitask Gaussian Processes
Viaarxiv icon

Learning deep autoregressive models for hierarchical data

Add code
May 06, 2021
Figure 1 for Learning deep autoregressive models for hierarchical data
Figure 2 for Learning deep autoregressive models for hierarchical data
Figure 3 for Learning deep autoregressive models for hierarchical data
Figure 4 for Learning deep autoregressive models for hierarchical data
Viaarxiv icon

Deep State Space Models for Nonlinear System Identification

Add code
Mar 31, 2020
Figure 1 for Deep State Space Models for Nonlinear System Identification
Figure 2 for Deep State Space Models for Nonlinear System Identification
Figure 3 for Deep State Space Models for Nonlinear System Identification
Figure 4 for Deep State Space Models for Nonlinear System Identification
Viaarxiv icon

Deep Convolutional Networks in System Identification

Add code
Sep 04, 2019
Figure 1 for Deep Convolutional Networks in System Identification
Figure 2 for Deep Convolutional Networks in System Identification
Figure 3 for Deep Convolutional Networks in System Identification
Figure 4 for Deep Convolutional Networks in System Identification
Viaarxiv icon

Data-Driven Impulse Response Regularization via Deep Learning

Add code
Oct 11, 2018
Figure 1 for Data-Driven Impulse Response Regularization via Deep Learning
Figure 2 for Data-Driven Impulse Response Regularization via Deep Learning
Figure 3 for Data-Driven Impulse Response Regularization via Deep Learning
Figure 4 for Data-Driven Impulse Response Regularization via Deep Learning
Viaarxiv icon

Probabilistic approach to limited-data computed tomography reconstruction

Add code
Sep 11, 2018
Figure 1 for Probabilistic approach to limited-data computed tomography reconstruction
Figure 2 for Probabilistic approach to limited-data computed tomography reconstruction
Figure 3 for Probabilistic approach to limited-data computed tomography reconstruction
Figure 4 for Probabilistic approach to limited-data computed tomography reconstruction
Viaarxiv icon