activity
20182023
most citedConstructing the Matrix Multilayer Perceptron and its Application to the VAE

4 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.NI2022

Evolving 5G: ANIARA, an Edge-Cloud perspective

Ian Marsh, Wolfgang John, Ali Balador +8

Emerging use-cases like smart manufacturing and smart cities pose challenges in terms of latency, which cannot be satisfied by traditional centralized networks. Edge networks, whic…

stat.ME2020

The Elliptical Processes: a Family of Fat-tailed Stochastic Processes

Maria Bånkestad, Jens Sjölund, Jalil Taghia +1

We present the elliptical processes -- a family of non-parametric probabilistic models that subsumes the Gaussian process and the Student-t process. This generalization includes a…

stat.ML20194 cited

Constructing the Matrix Multilayer Perceptron and its Application to the VAE

Jalil Taghia, Maria Bånkestad, Fredrik Lindsten +1

Like most learning algorithms, the multilayer perceptrons (MLP) is designed to learn a vector of parameters from data. However, in certain scenarios we are interested in learning s…

cs.SD2019

The NIGENS General Sound Events Database

Ivo Trowitzsch, Jalil Taghia, Youssef Kashef +1

Computational auditory scene analysis is gaining interest in the last years. Trailing behind the more mature field of speech recognition, it is particularly general sound event det…

stat.ML2019

On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models

Zhanyu Ma, Jalil Taghia, Jun Guo

Variational inference (VI) is a widely used framework in Bayesian estimation. For most of the non-Gaussian statistical models, it is infeasible to find an analytically tractable so…

stat.ML2018

Conditionally Independent Multiresolution Gaussian Processes

Jalil Taghia, Thomas B. Schön

The multiresolution Gaussian process (GP) has gained increasing attention as a viable approach towards improving the quality of approximations in GPs that scale well to large-scale…