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ORCIDJalil Taghia
Person information
- affiliation: Stanford University, School of Medicine, CA, USA
- affiliation: Technical University of Berlin, Neural Information Processing, Germany
- affiliation: Royal Institute of Technology, Stockholm, Sweden
- not to be confused with: Jalal Taghia
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2020 – today
- 2023
[j11]Arne Leijon, Petra von Gablenz, Inga Holube
, Jalil Taghia, Karolina Smeds:
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation. Frontiers Digit. Health 5 (2023)- [c18]Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson:
Domain Adaptation for Network Performance Modeling with and without Labeled Data. NOMS 2023: 1-9 - [i6]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. CoRR abs/2311.12566 (2023) - 2022
- [c17]Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. INFOCOM Workshops 2022: 1-2 - [c16]Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Policy-Induced Unsupervised Feature Selection: A Networking Case Study. INFOCOM 2022: 750-759 - [i5]Ian Marsh, Wolfgang John, Ali Balador, Federico Tonini, Jalil Taghia, Andreas Johnsson, Paolo Monti, Jonas Gustafsson, Pontus Sköldström, Johan Sjöberg, Jim Dowling:
Evolving 5G: ANIARA, an Edge-Cloud perspective. CoRR abs/2205.03098 (2022) - 2021
- [c15]Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Towards Source Selection in Transfer Learning for Cloud Performance Prediction. IM 2021: 599-603 - [c14]Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Source Selection in Transfer Learning for Improved Service Performance Predictions. Networking 2021: 1-9 - 2020
- [j10]Zhanyu Ma, Sunwoo Kim, Pascual Martínez-Gómez, Jalil Taghia, Yi-Zhe Song, Huiji Gao:
IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications. IEEE Access 8: 199882-199898 (2020) - [j9]Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2240-2254 (2020) - [c13]Selim Ickin, Konstantinos Vandikas, Farnaz Moradi, Jalil Taghia, Wenfeng Hu:
Ensemble-based Synthetic Data Synthesis for Federated QoE Modeling. NetSoft 2020: 72-76 - [i4]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR abs/2003.07201 (2020)
2010 – 2019
- 2019
- [c12]Jalil Taghia, Thomas B. Schön:
Conditionally Independent Multiresolution Gaussian Processes. AISTATS 2019: 964-973 - [i3]Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön:
Constructing the Matrix Multilayer Perceptron and its Application to the VAE. CoRR abs/1902.01182 (2019) - [i2]Zhanyu Ma, Jalil Taghia, Jun Guo:
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models. CoRR abs/1902.05068 (2019) - [i1]Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, Klaus Obermayer:
The NIGENS General Sound Events Database. CoRR abs/1902.08314 (2019) - 2018
- [j8]Zhanyu Ma, Jen-Tzung Chien, Zheng-Hua Tan, Yi-Zhe Song, Jalil Taghia, Ming Xiao:
Recent advances in machine learning for non-Gaussian data processing. Neurocomputing 278: 1-3 (2018) - 2017
- [j7]Jalil Taghia, Srikanth Ryali, Tianwen Chen, Kaustubh Supekar, Weidong Cai, Vinod Menon:
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI. NeuroImage 155: 271-290 (2017) - 2016
- [j6]Jalil Taghia, Arne Leijon:
Variational Inference for Watson Mixture Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1886-1900 (2016) - 2015
- [j5]Pravin Kumar Rana, Jalil Taghia, Zhanyu Ma, Markus Flierl:
Probabilistic Multiview Depth Image Enhancement Using Variational Inference. IEEE J. Sel. Top. Signal Process. 9(3): 435-448 (2015) - [j4]Zhanyu Ma, Jalil Taghia, W. Bastiaan Kleijn, Arne Leijon, Jun Guo:
Line spectral frequencies modeling by a mixture of von Mises-Fisher distributions. Signal Process. 114: 219-224 (2015) - 2014
- [b1]Jalil Taghia:
Bayesian Modeling of Directional Data with Acoustic and Other Applications. Royal Institute of Technology, Stockholm, Sweden, 2014 - [j3]Jalil Taghia, Zhanyu Ma, Arne Leijon:
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1701-1715 (2014) - [j2]Zhanyu Ma, Pravin Kumar Rana, Jalil Taghia, Markus Flierl, Arne Leijon:
Bayesian estimation of Dirichlet mixture model with variational inference. Pattern Recognit. 47(9): 3143-3157 (2014) - [j1]Jalil Taghia, Arne Leijon:
Separation of Unknown Number of Sources. IEEE Signal Process. Lett. 21(5): 625-629 (2014) - [c11]Pravin Kumar Rana, Jalil Taghia, Markus Flierl:
Statistical methods for inter-viewdepth enhancement. 3DTV-Conference 2014: 1-4 - 2013
- [c10]Pravin Kumar Rana, Zhanyu Ma, Jalil Taghia, Markus Flierl:
Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models. ICASSP 2013: 1528-1532 - [c9]Jalal Taghia, Rainer Martin, Jalil Taghia, Arne Leijon:
Dual-channel noise reduction based on a mixture of circular-symmetric complex Gaussians on unit hypersphere. ICASSP 2013: 7289-7293 - [c8]Jalil Taghia, Zhanyu Ma, Arne Leijon:
On von-mises fisher mixture model in text-independent speaker identification. INTERSPEECH 2013: 2499-2503 - 2012
- [c7]Jalal Taghia, Rainer Martin, Jalil Taghia, Arne Leijon:
An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals. ITG Conference on Speech Communication 2012: 1-4 - [c6]Hongmei Hu, Nasser Mohammadiha, Jalil Taghia, Arne Leijon, Mark E. Lutman, Shouyan Wang:
Sparsity level in a non-negative matrix factorization based speech strategy in cochlear implants. EUSIPCO 2012: 2432-2436 - [c5]Jalil Taghia, Nasser Mohammadiha, Arne Leijon:
A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources. ICASSP 2012: 253-256 - [c4]Pravin Kumar Rana, Jalil Taghia, Markus Flierl:
A Variational Bayesian Inference Framework for Multiview Depth Image Enhancement. ISM 2012: 183-190 - 2011
- [c3]Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Jinqiu Sang, Václav Bouse, Rainer Martin:
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments. ICASSP 2011: 4640-4643 - [c2]Jalil Taghia, Timo Gerkmann, Arne Leijon:
Blind source separation of nondisjoint sources in the time-frequency domain with model-based determination of source contribution. ISSPIT 2011: 276-280
2000 – 2009
- 2007
- [c1]Jalal Taghia, Jalil Taghia:
One-Channel Audio Source Separation of Convolutive Mixture. SCSS (1) 2007: 202-206
Coauthor Index
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last updated on 2023-11-30 22:47 CET by the dblp team
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