Articles with public access mandates - Dror BaronLearn more
Not available anywhere: 1
Generative Adversarial Network Based Adaptive Transmitter Modeling
P Kashyap, PP Ravichandiran, D Baron, CW Wong, T Wu, PD Franzon
2023 IEEE 73rd Electronic Components and Technology Conference (ECTC), 2183-2187, 2023
Mandates: US National Science Foundation
Available somewhere: 26
Contact tracing enhances the efficiency of COVID-19 group testing
R Goenka, SJ Cao, CW Wong, A Rajwade, D Baron
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandates: US National Science Foundation, Department of Science & Technology, India
Approximate message passing algorithm with universal denoising and Gaussian mixture learning
Y Ma, J Zhu, D Baron
IEEE Transactions on Signal Processing 64 (21), 5611-5622, 2016
Mandates: US National Science Foundation
Gradient obfuscation gives a false sense of security in federated learning
K Yue, R Jin, CW Wong, D Baron, H Dai
32nd USENIX Security Symposium (USENIX Security 23), 6381-6398, 2023
Mandates: US National Science Foundation
An approximate message passing framework for side information
A Ma, Y Zhou, C Rush, D Baron, D Needell
IEEE Transactions on Signal Processing 67 (7), 1875-1888, 2019
Mandates: US National Science Foundation
Performance limits for noisy multimeasurement vector problems
J Zhu, D Baron, F Krzakala
IEEE Transactions on Signal Processing 65 (9), 2444-2454, 2016
Mandates: US National Science Foundation, European Commission
Channel estimation in mmWave hybrid MIMO system via off-grid Dirichlet kernels
CK Anjinappa, Y Zhou, Y Yapici, D Baron, I Guvenc
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Mandates: US National Science Foundation
Analysis of approximate message passing with non-separable denoisers and Markov random field priors
Y Ma, C Rush, D Baron
IEEE Transactions on Information Theory 65 (11), 7367-7389, 2019
Mandates: US National Science Foundation
Analysis of approximate message passing with a class of non-separable denoisers
Y Ma, C Rush, D Baron
2017 IEEE International Symposium on Information Theory (ISIT), 231-235, 2017
Mandates: US National Science Foundation
Multi-processor approximate message passing using lossy compression
P Han, J Zhu, R Niu, D Baron
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Mandates: US National Science Foundation
Performance trade-offs in multi-processor approximate message passing
J Zhu, A Beirami, D Baron
2016 IEEE International Symposium on Information Theory (ISIT), 680-684, 2016
Mandates: US National Science Foundation
An analysis of state evolution for approximate message passing with side information
H Liu, C Rush, D Baron
2019 IEEE International Symposium on Information Theory (ISIT), 2069-2073, 2019
Mandates: US National Science Foundation
Performance limits with additive error metrics in noisy multimeasurement vector problems
J Zhu, D Baron
IEEE Transactions on Signal Processing 66 (20), 5338-5348, 2018
Mandates: US National Science Foundation
An overview of multi-processor approximate message passing
J Zhu, R Pilgrim, D Baron
2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017
Mandates: US National Science Foundation
RxGAN: Modeling high-speed receiver through generative adversarial networks
P Kashyap, A Gajjar, Y Choi, CW Wong, D Baron, T Wu, C Cheng, ...
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 167-172, 2022
Mandates: US National Science Foundation
High speed receiver modeling using generative adversarial networks
P Kashyap, WS Pitts, D Baron, CW Wong, T Wu, PD Franzon
2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging …, 2021
Mandates: US National Science Foundation
mmWave channel estimation via approximate message passing with side information
D Baron, C Rush, Y Yapici
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
Mandates: US National Science Foundation
Conditional approximate message passing with side information
D Baron, A Ma, D Needell, C Rush, T Woolf
2017 51st Asilomar Conference on Signals, Systems, and Computers, 430-434, 2017
Mandates: US National Science Foundation
Multiprocessor approximate message passing with column-wise partitioning
Y Ma, YM Lu, D Baron
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Mandates: US National Science Foundation, US Department of Defense
Group testing with side information via generalized approximate message passing
SJ Cao, R Goenka, CW Wong, A Rajwade, D Baron
IEEE Transactions on Signal Processing 71, 2366-2375, 2023
Mandates: US National Science Foundation, Department of Science & Technology, India
Publication and funding information is determined automatically by a computer program