Следене
Ranjitha Prasad
Заглавие
Позовавания
Позовавания
Година
Joint approximately sparse channel estimation and data detection in OFDM systems using sparse Bayesian learning
R Prasad, CR Murthy, BD Rao
IEEE Transactions on Signal Processing 62 (14), 3591-3603, 2014
1592014
Joint channel estimation and data detection in MIMO-OFDM systems: A sparse Bayesian learning approach
R Prasad, CR Murthy, BD Rao
IEEE Transactions on signal processing 63 (20), 5369-5382, 2015
1432015
Cramér-Rao-type bounds for sparse Bayesian learning
R Prasad, CR Murthy
IEEE Transactions on Signal Processing 61 (3), 622-632, 2012
622012
Bayesian learning for joint sparse OFDM channel estimation and data detection
R Prasad, CR Murthy
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-6, 2010
372010
Factors predicting length of hospital stay in acute stroke patients admitted in a rural tertiary care hospital
A Saxena, R Prasad, K Verma, S Saxena
J Gerontol Geriatr Res S 5 (2), 2016
302016
Variational student: Learning compact and sparser networks in knowledge distillation framework
S Hegde, R Prasad, R Hebbalaguppe, V Kumar
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
Nested sparse Bayesian learning for block-sparse signals with intra-block correlation
R Prasad, CR Murthy, BD Rao
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
152014
CRESA: a deep learning approach to competing risks, recurrent event survival analysis
G Gupta, V Sunder, R Prasad, G Shroff
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019
142019
Camta: Causal attention model for multi-touch attribution
S Kumar, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff
2020 International Conference on Data Mining Workshops (ICDMW), 79-86, 2020
112020
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
GS Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig
Conference on Neural Information Processing Systems(NeurIPS 2019) - CausalML …, 2019
11*2019
Online recovery of temporally correlated sparse signals using multiple measurement vectors
G Joseph, CR Murthy, R Prasad, BD Rao
2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015
82015
Effect of parallel electric field on charged particle precipitation
R Prasad, RN Singh
Planetary and Space Science 29 (9), 915-924, 1981
81981
Select wisely and explain: Active learning and probabilistic local post-hoc explainability
A Saini, R Prasad
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 599-608, 2022
72022
Joint channel estimation and data detection in MIMO-OFDM systems using sparse Bayesian learning
R Prasad, CR Murthy
2014 Twentieth National Conference on Communications (NCC), 1-6, 2014
72014
Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems
R Prasad, BN Bharath, CR Murthy
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
62011
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks
SR Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad
ACML, 2021
5*2021
Multimbnn: Matched and balanced causal inference with neural networks
A Sharma, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff
arXiv preprint arXiv:2004.13446, 2020
52020
Locally Interpretable Model Agnostic Explanations using Gaussian Processes
A Saini, R Prasad
arXiv preprint ArXiv:2108.06907, 2021
32021
Sparse signal recovery in the presence of colored noise and rank-deficient noise covariance matrix: An sbl approach
V Vinjamuri, R Prasad, CR Murthy
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
32015
Over-the-air clustered wireless federated learning
A Madhan-Sohini, D Dominic, N Shah, R Prasad
2023 IEEE Globecom Workshops (GC Wkshps), 203-208, 2023
22023
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