no code implementations • 1 May 2024 • Xuechun Xu, Joakim Jaldén
Recent advancements in nanopore sequencing technology, particularly the R10 nanopore from Oxford Nanopore Technology, have necessitated the development of improved data processing methods to utilize their potential for more than 9-mer resolution fully.
1 code implementation • 19 May 2023 • Xuechun Xu, Joakim Jaldén
Inferring a state sequence from a sequence of measurements is a fundamental problem in bioinformatics and natural language processing.
no code implementations • 5 Sep 2022 • Yasaman Khorsandmanesh, Emil Björnson, Joakim Jaldén
We also propose a heuristic low-complexity approach to quantized precoding.
no code implementations • 11 Jun 2022 • Pol del Aguila Pla, Aleix Boquet-Pujadas, Joakim Jaldén
A logconcave likelihood is as important to proper statistical inference as a convex cost function is important to variational optimization.
no code implementations • 18 May 2022 • Lissy Pellaco, Joakim Jaldén
From a theoretical viewpoint, we establish its convergence to a stationary point of the WSR maximization problem.
1 code implementation • 28 Jan 2022 • Håkan Carlsson, Isaac Skog, Gustaf Hendeby, Joakim Jaldén
We present a comprehensive framework for fusing measurements from multiple and generally placed accelerometers and gyroscopes to perform inertial navigation.
no code implementations • 16 Oct 2020 • Vidit Saxena, Hugo Tullberg, Joakim Jaldén
In this context, we propose a latent learning model for link adaptation that exploits the correlation between data transmission parameters.
1 code implementation • 15 Jun 2020 • Lissy Pellaco, Mats Bengtsson, Joakim Jaldén
Motivated by the recent success of deep unfolding in the trade-off between complexity and performance, we propose the novel application of deep unfolding to the WMMSE algorithm for a MISO downlink channel.
1 code implementation • 20 Apr 2020 • Vidit Saxena, Joseph E. Gonzalez, Joakim Jaldén
We address multi-armed bandits (MAB) where the objective is to maximize the cumulative reward under a probabilistic linear constraint.
no code implementations • 28 Feb 2019 • Vidit Saxena, Joseph E. Gonzalez, Ion Stoica, Hugo Tullberg, Joakim Jaldén
We model rate selection as a stochastic multi-armed bandit (MAB) problem, where a finite set of transmission rates are modeled as independent bandit arms.
1 code implementation • 15 Oct 2018 • Pol del Aguila Pla, Vidit Saxena, Joakim Jaldén
Accurate cell detection and counting in the image-based ELISpot and FluoroSpot immunoassays is a challenging task.