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Arun Venkitaraman
Arun Venkitaraman
Senior Research Scientist, Sony AI
Verified email at sony.com
Title
Cited by
Cited by
Year
Predicting graph signals using kernel regression where the input signal is agnostic to a graph
A Venkitaraman, S Chatterjee, P Händel
IEEE Transactions on Signal and Information Processing over Networks 5 (4 …, 2019
472019
Gaussian processes over graphs
A Venkitaraman, S Chatterjee, P Handel
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
402020
Auditory-motivated Gammatone wavelet transform
A Venkitaraman, A Adiga, CS Seelamantula
Signal Processing 94, 608-619, 2014
352014
Fractional Hilbert transform extensions and associated analytic signal construction
A Venkitaraman, CS Seelamantula
Signal processing 94, 359-372, 2014
332014
A connectedness constraint for learning sparse graphs
M Sundin, A Venkitaraman, M Jansson, S Chatterjee
2017 25th European Signal Processing Conference (EUSIPCO), 151-155, 2017
182017
Greedy sparse learning over network
A Zaki, A Venkitaraman, S Chatterjee, LK Rasmussen
IEEE Transactions on Signal and Information Processing over Networks 4 (3 …, 2017
162017
Predictive analysis of COVID-19 time-series data from Johns Hopkins University
AM Javid, X Liang, A Venkitaraman, S Chatterjee
arXiv preprint arXiv:2005.05060, 2020
142020
On Hilbert transform, analytic signal, and modulation analysis for signals over graphs
A Venkitaraman, S Chatterjee, P Händel
Signal Processing 156, 106-115, 2019
142019
Post hoc explainability for time series classification: Toward a signal processing perspective
R Mochaourab, A Venkitaraman, I Samsten, P Papapetrou, CR Rojas
IEEE signal processing magazine 39 (4), 119-129, 2022
132022
On Hilbert transform of signals on graphs
A Venkitaraman, S Chatterjee, P Handel
Proc. Sampling Theory Appl, 2015
102015
A technique to compute smooth amplitude, phase, and frequency modulations from the analytic signal
A Venkitaraman, CS Seelamantula
IEEE Signal Processing Letters 19 (10), 623-626, 2012
102012
Task-similarity aware meta-learning through nonparametric kernel regression
A Venkitaraman, A Hansson, B Wahlberg
arXiv preprint arXiv:2006.07212, 2020
92020
On training and evaluation of neural network approaches for model predictive control
R Winqvist, A Venkitaraman, B Wahlberg
arXiv preprint arXiv:2005.04112, 2020
92020
Hilbert transform, analytic signal, and modulation analysis for graph signal processing
A Venkitaraman, S Chatterjee, P Händel
arXiv preprint arXiv:1611.05269, 2016
92016
A Meta-GNN approach to personalized seizure detection and classification
A Rahmani, A Venkitaraman, P Frossard
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
82023
Multi-kernel regression for graph signal processing
A Venkitaraman, S Chatterjee, P Händel
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
82018
Temporal envelope fit of transient audio signals
A Venkitaraman, CS Seelamantula
IEEE Signal Processing Letters 20 (12), 1191-1194, 2013
82013
Learning sparse graphs for prediction of multivariate data processes
A Venkitaraman, D Zachariah
IEEE Signal Processing Letters 26 (3), 495-499, 2019
62019
Supervised linear regression for graph learning from graph signals
A Venkitaraman, HP Maretic, S Chatterjee, P Frossard
arXiv preprint arXiv:1811.01586, 2018
62018
Motion-based segmentation of chest and abdomen region of neonates from videos
A Venkitaraman, VV Makkapati
2015 Eighth International Conference on Advances in Pattern Recognition …, 2015
62015
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