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Arun Venkitaraman
Arun Venkitaraman
Post-doctoral researcher, Signal Processing Laboratory LTS4, School of Electrical Engineering, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Auditory-motivated Gammatone wavelet transform
A Venkitaraman, A Adiga, CS Seelamantula
Signal Processing 94, 608-619, 2014
342014
Fractional Hilbert transform extensions and associated analytic signal construction
A Venkitaraman, CS Seelamantula
Signal processing 94, 359-372, 2014
322014
Gaussian processes over graphs
A Venkitaraman, S Chatterjee, P Handel
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
262020
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
222019
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
152017
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
152017
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
132020
On Hilbert transform, analytic signal, and modulation analysis for signals over graphs
A Venkitaraman, S Chatterjee, P Händel
Signal Processing 156, 106-115, 2019
132019
On Hilbert transform of signals on graphs
A Venkitaraman, S Chatterjee, P Handel
Proc. Sampling Theory Appl, 2015
112015
Kernel regression for signals over graphs
A Venkitaraman, S Chatterjee, P Händel
ArXiv e-prints, 2017
102017
Task-similarity aware meta-learning through nonparametric kernel regression
A Venkitaraman, A Hansson, B Wahlberg
arXiv preprint arXiv:2006.07212, 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 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
92012
On training and evaluation of neural network approaches for model predictive control
R Winqvist, A Venkitaraman, B Wahlberg
arXiv preprint arXiv:2005.04112, 2020
62020
Multi-kernel regression for graph signal processing
A Venkitaraman, S Chatterjee, P Händel
2018 IEEE International Conference on Acoustics, Speech and Signal …, 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
Binaural signal processing motivated generalized analytic signal construction and AM-FM demodulation
A Venkitaraman, CS Seelamantula
IEEE/ACM transactions on audio, speech, and language processing 22 (6), 1023 …, 2014
62014
Temporal envelope fit of transient audio signals
A Venkitaraman, CS Seelamantula
IEEE Signal Processing Letters 20 (12), 1191-1194, 2013
62013
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
52022
Recursive prediction of graph signals with incoming nodes
A Venkitaraman, S Chatterjee, B Wahlberg
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
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