Linköping University

∙ Linköping , Sweden ∙ 0 followers

Linköping University (LiU) is known for innovative education, transnational research and close cooperation with industry and society.

Enhancing Lattice-based Motion Planning with Introspective Learning and Reasoning

Lattice-based motion planning is a hybrid planning method where a plan m...
05/15/2020 ∙ by Mattias Tiger, et al. ∙ 3 ∙ share

read it
Graphical model inference: Sequential Monte Carlo meets deterministic approximations

Approximate inference in probabilistic graphical models (PGMs) can be gr...
01/08/2019 ∙ by Fredrik Lindsten, et al. ∙ 2 ∙ share

read it
Single-frame Regularization for Temporally Stable CNNs

Convolutional neural networks (CNNs) can model complicated non-linear re...
02/27/2019 ∙ by Gabriel Eilertsen, et al. ∙ 2 ∙ share

read it
Benchmarking OpenCL, OpenACC, OpenMP, and CUDA: programming productivity, performance, and energy consumption

Many modern parallel computing systems are heterogeneous at their node l...
04/18/2017 ∙ by Suejb Memeti, et al. ∙ 0 ∙ share

read it
Unifying DAGs and UGs

We introduce a new class of graphical models that generalizes Lauritzen-...
08/29/2017 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
HDR image reconstruction from a single exposure using deep CNNs

Camera sensors can only capture a limited range of luminance simultaneou...
10/20/2017 ∙ by Gabriel Eilertsen, et al. ∙ 0 ∙ share

read it
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications

We present an overview and evaluation of a new, systematic approach for ...
10/17/2017 ∙ by Apostolia Tsirikoglou, et al. ∙ 0 ∙ share

read it
Causal Effect Identification in Acyclic Directed Mixed Graphs and Gated Models

We introduce a new family of graphical models that consists of graphs wi...
12/22/2016 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Representing Independence Models with Elementary Triplets

In an independence model, the triplets that represent conditional indepe...
12/04/2016 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
High-dimensional Filtering using Nested Sequential Monte Carlo

Sequential Monte Carlo (SMC) methods comprise one of the most successful...
12/29/2016 ∙ by Christian A. Naesseth, et al. ∙ 0 ∙ share

read it
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences

Traditionally, pose estimation is considered as a two step problem. Firs...
03/15/2017 ∙ by Henry Bradler, et al. ∙ 0 ∙ share

read it
Alternative Markov and Causal Properties for Acyclic Directed Mixed Graphs

We extend Andersson-Madigan-Perlman chain graphs by (i) relaxing the sem...
11/18/2015 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models

Data-efficient reinforcement learning (RL) in continuous state-action sp...
10/08/2015 ∙ by John-Alexander M. Assael, et al. ∙ 0 ∙ share

read it
DOLDA - a regularized supervised topic model for high-dimensional multi-class regression

Generating user interpretable multi-class predictions in data rich envir...
01/31/2016 ∙ by Måns Magnusson, et al. ∙ 0 ∙ share

read it
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables

Pseudo-marginal Metropolis-Hastings (pmMH) is a powerful method for Baye...
11/17/2015 ∙ by Johan Dahlin, et al. ∙ 0 ∙ share

read it
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family

In this paper, a Bayesian inference technique based on Taylor series app...
10/05/2015 ∙ by Tohid Ardeshiri, et al. ∙ 0 ∙ share

read it
Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation

In this paper we introduce an efficient method to unwrap multi-frequency...
08/18/2016 ∙ by Felix Järemo Lawin, et al. ∙ 0 ∙ share

read it
Error AMP Chain Graphs

Any regular Gaussian probability distribution that can be represented by...
06/28/2013 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

Discriminative Correlation Filters (DCF) have demonstrated excellent per...
08/12/2016 ∙ by Martin Danelljan, et al. ∙ 0 ∙ share

read it
Gaussian Mixture Reduction Using Reverse Kullback-Leibler Divergence

We propose a greedy mixture reduction algorithm which is capable of prun...
08/22/2015 ∙ by Tohid Ardeshiri, et al. ∙ 0 ∙ share

read it
Learning AMP Chain Graphs and some Marginal Models Thereof under Faithfulness: Extended Version

This paper deals with chain graphs under the Andersson-Madigan-Perlman (...
03/04/2013 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Approximate Counting of Graphical Models Via MCMC Revisited

In Peña (2007), MCMC sampling is applied to approximately calculate the ...
01/30/2013 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Quasi-Newton particle Metropolis-Hastings

Particle Metropolis-Hastings enables Bayesian parameter inference in gen...
02/12/2015 ∙ by Johan Dahlin, et al. ∙ 0 ∙ share

read it
Newton-based maximum likelihood estimation in nonlinear state space models

Maximum likelihood (ML) estimation using Newton's method in nonlinear st...
02/12/2015 ∙ by Manon Kok, et al. ∙ 0 ∙ share

read it
Marginalizing Gaussian Process Hyperparameters using Sequential Monte Carlo

Gaussian process regression is a popular method for non-parametric proba...
02/06/2015 ∙ by Andreas Svensson, et al. ∙ 0 ∙ share

read it
Parameterized Complexity and Kernel Bounds for Hard Planning Problems

The propositional planning problem is a notoriously difficult computatio...
11/02/2012 ∙ by Christer Bäckström, et al. ∙ 0 ∙ share

read it
Maximum Entropy Kernels for System Identification

A new nonparametric approach for system identification has been recently...
11/20/2014 ∙ by Francesca Paola Carli, et al. ∙ 0 ∙ share

read it
The Complexity of Planning Revisited - A Parameterized Analysis

The early classifications of the computational complexity of planning un...
08/13/2012 ∙ by Christer Baeckstroem, et al. ∙ 0 ∙ share

read it
Efficient Robust Mean Value Calculation of 1D Features

A robust mean value is often a good alternative to the standard mean val...
01/29/2016 ∙ by Erik Jonsson, et al. ∙ 0 ∙ share

read it
Learning AMP Chain Graphs under Faithfulness

This paper deals with chain graphs under the alternative Andersson-Madig...
04/24/2012 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Speeding Up MCMC by Efficient Data Subsampling

We propose Subsampling MCMC, a Markov Chain Monte Carlo (MCMC) framework...
04/16/2014 ∙ by Matias Quiroz, et al. ∙ 0 ∙ share

read it
Particle Gibbs with Ancestor Sampling

Particle Markov chain Monte Carlo (PMCMC) is a systematic way of combini...
01/03/2014 ∙ by Fredrik Lindsten, et al. ∙ 0 ∙ share

read it
Towards Optimal Learning of Chain Graphs

In this paper, we extend Meek's conjecture (Meek 1997) from directed and...
09/25/2011 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Every LWF and AMP chain graph originates from a set of causal models

This paper aims at justifying LWF and AMP chain graphs by showing that t...
12/10/2013 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Finding Consensus Bayesian Network Structures

Suppose that multiple experts (or learning algorithms) provide us with a...
01/10/2011 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC

State-space models are successfully used in many areas of science, engin...
06/12/2013 ∙ by Roger Frigola, et al. ∙ 0 ∙ share

read it
Reading Dependencies from Covariance Graphs

The covariance graph (aka bi-directed graph) of a probability distributi...
10/21/2010 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
Hybrid Rules with Well-Founded Semantics

A general framework is proposed for integration of rules and external fi...
06/20/2009 ∙ by W. Drabent, et al. ∙ 0 ∙ share

read it
Ancestor Sampling for Particle Gibbs

We present a novel method in the family of particle MCMC methods that we...
10/25/2012 ∙ by Fredrik Lindsten, et al. ∙ 0 ∙ share

read it
3D planar patch extraction from stereo using probabilistic region growing

This article presents a novel 3D planar patch extraction method using a ...
06/27/2014 ∙ by Vasileios Zografos, et al. ∙ 0 ∙ share

read it
Saccadic Eye Movements and the Generalized Pareto Distribution

We describe a statistical analysis of the eye tracker measurements in a ...
06/24/2014 ∙ by Reiner Lenz, et al. ∙ 0 ∙ share

read it
Faithfulness in Chain Graphs: The Gaussian Case

This paper deals with chain graphs under the classic Lauritzen-Wermuth-F...
08/13/2010 ∙ by Jose M. Peña, et al. ∙ 0 ∙ share

read it
A Unified Framework for Multi-Sensor HDR Video Reconstruction

One of the most successful approaches to modern high quality HDR-video c...
08/22/2013 ∙ by Joel Kronander, et al. ∙ 0 ∙ share

read it
Sparse motion segmentation using multiple six-point consistencies

We present a method for segmenting an arbitrary number of moving objects...
12/09/2010 ∙ by Vasileios Zografos, et al. ∙ 0 ∙ share

read it
Efficient computational noise in GLSL

We present GLSL implementations of Perlin noise and Perlin simplex noise...
04/06/2012 ∙ by Ian McEwan, et al. ∙ 0 ∙ share

read it
On the Complexity of CCG Parsing

We study the parsing complexity of Combinatory Categorial Grammar (CCG) ...
02/21/2017 ∙ by Marco Kuhlmann, et al. ∙ 0 ∙ share

read it
Folding Polyominoes into (Poly)Cubes

We study the problem of folding a polyomino P into a polycube Q, allowin...
12/26/2017 ∙ by Oswin Aichholzer, et al. ∙ 0 ∙ share

read it
Bayesian uncertainty quantification in linear models for diffusion MRI

Diffusion MRI (dMRI) is a valuable tool in the assessment of tissue micr...
11/16/2017 ∙ by Jens Sjölund, et al. ∙ 0 ∙ share

read it
Jamming Detection in Massive MIMO Systems

This paper considers the physical layer security of a pilot-based massiv...
11/28/2017 ∙ by Hossein Akhlaghpasand, et al. ∙ 0 ∙ share

read it
Performance Analysis of a Cooperative Wireless Network with Adaptive Relays: A Network-Level Study

In this work, we investigate the stability region, the throughput perfor...
10/12/2017 ∙ by Ioannis Dimitriou, et al. ∙ 0 ∙ share

read it

Linköping University

Featured Researchers