3 citations · 13 across the 14 of their papers we have counts for
15 papers
Compress-and-Forward via Multilevel Coding and Trellis Coded Quantization
Heping Wan, Anders Host-Madsen, Aria Nosratinia
Compress-forward (CF) relays can improve communication rates even when the relay cannot decode the source signal. Efficient implementation of CF is a topic of contemporary interest…
Out-of-Distribution Detection using BiGAN and MDL
Mojtaba Abolfazli, Mohammad Zaeri Arimani, Anders Host-Madsen +2
We consider the following problem: we have a large dataset of normal data available. We are now given a new, possibly quite small, set of data, and we are to decide if these are no…
Graph Compression with Application to Model Selection
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang +1
Many multivariate data such as social and biological data exhibit complex dependencies that are best characterized by graphs. Unlike sequential data, graphs are, in general, unorde…
Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang +1
A classic application of description length is for model selection with the minimum description length (MDL) principle. The focus of this paper is to extend description length for…
Bounds for Learning Lossless Source Coding
Anders Host-Madsen
This paper asks a basic question: how much training is required to beat a universal source coder? Traditionally, there have been two types of source coders: fixed, optimum coders s…
Differential Description Length for Hyperparameter Selection in Machine Learning
Mojtaba Abolfazli, Anders Host-Madsen, June Zhang
This paper introduces a new method for model selection and more generally hyperparameter selection in machine learning. Minimum description length (MDL) is an established method fo…
Coding of Graphs with Application to Graph Anomaly Detection
Anders Host-Madsen, June Zhang
This paper has dual aims. First is to develop practical universal coding methods for unlabeled graphs. Second is to use these for graph anomaly detection. The paper develops two co…
Atypicality for Heart Rate Variability Using a Pattern-Tree Weighting Method
Elyas Sabeti, Anders Høst-Madsen
Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition. This paper proposes a novel method, c…
Data Discovery and Anomaly Detection Using Atypicality: Signal Processing Methods
Elyas Sabeti, Anders Høst-Madsen
The aim of atypicality is to extract small, rare, unusual and interesting pieces out of big data. This complements statistics about typical data to give insight into data. In order…
Data Discovery and Anomaly Detection Using Atypicality: Theory
Anders Høst-Madsen, Elyas Sabeti, Chad Walton
A central question in the era of 'big data' is what to do with the enormous amount of information. One possibility is to characterize it through statistics, e.g., averages, or clas…
Repair of Multiple Descriptions on Distributed Storage
Anders Host-Madsen, Heechoel Yang, Minchul Kim +1
In multiple descriptions on distributed storage, a source is stored in a shared fashion on multiple servers. When a subset of servers are contacted, the source should be estimated…
On the Minimum Energy of Sending Gaussian Multiterminal Sources over the Gaussian MAC
Nan Jiang, Yang Yang, Anders Høst-Madsen +1
In this work, we investigate the minimum energy of transmitting correlated sources over the Gaussian multiple-access channel (MAC). Compared to other works on joint source-channel…
The Wideband Slope of Interference Channels: The Small Bandwidth Case
Minqi Shen, Anders Høst-Madsen
This paper studies the low-SNR regime performance of a scalar complex K -user interference channel with Gaussian noise. The finite bandwidth case is considered, where the low-SNR r…
The Wideband Slope of Interference Channels: The Large Bandwidth Case
Minqi Shen, Anders Høst-Madsen
It is well known that minimum received energy per bit in the interference channel is -1.59dB as if there were no interference. Thus, the best way to mitigate interference is to ope…
Deterministic Capacity of MIMO Relay Networks
Anders Host-Madsen
The deterministic capacity of a relay network is the capacity of a network when relays are restricted to transmitting \emph{reliable} information, that is, (asymptotically) determi…