21 citations · 26 across the 8 of their papers we have counts for
8 papers
Multi-Generator Continual Learning for Robust Delay Prediction in 6G
Xiaoyu Lan, Jalil Taghia, Hannes Larsson +1
In future 6G networks, dependable networks will enable telecommunication services such as remote control of robots or vehicles with strict requirements on end-to-end network perfor…
Variational Elliptical Processes
Maria Bånkestad, Jens Sjölund, Jalil Taghia +1
We present elliptical processes, a family of non-parametric probabilistic models that subsume Gaussian processes and Student's t processes. This generalization includes a range of…
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…
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…
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…
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…
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…
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…