Takip et
Rahul Singh
Rahul Singh
Postdoctoral Fellow, Yale University
yale.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Complex Networks: A Networking and Signal Processing Perspective
BS Manoj, A Chakraborty, R Singh
Prentice Hall, 2018
632018
Graph Fourier transform based on directed Laplacian
R Singh, A Chakraborty, BS Manoj
2016 International Conference on Signal Processing and Communications (SPCOM …, 2016
522016
Multi-marginal optimal transport and probabilistic graphical models
I Haasler, R Singh, Q Zhang, J Karlsson, Y Chen
IEEE Transactions on Information Theory 67 (7), 4647-4668, 2021
472021
Improving robustness via risk averse distributional reinforcement learning
R Singh, Q Zhang, Y Chen
Learning for Dynamics and Control, 958-968, 2020
452020
GFT Centrality: A New Node Importance Measure for Complex Networks
R Singh, A Chakraborty, BS Manoj
Physica A: Statistical Mechanics and its Applications 487, 185-195, 2017
262017
Inference with aggregate data: An optimal transport approach
R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen
arXiv preprint arXiv:2003.13933, 2020
192020
Sample-based distributional policy gradient
R Singh, K Lee, Y Chen
Learning for Dynamics and Control Conference, 676-688, 2022
162022
Inference with aggregate data in probabilistic graphical models: An optimal transport approach
R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen
IEEE Transactions on Automatic Control 67 (9), 4483-4497, 2022
102022
In-situ real-time characterization of micro-filaments for electrohydrodynamic ink-jet printing using machine vision
R Singh, X Zhang, Y Chen, J Zheng, H Qin
Procedia Manufacturing 17 (2018), 45-52, 2018
102018
In-process monitoring of electrohydrodynamic inkjet printing using machine vision
H Qin, X Zhang, R Singh, Z Zhang, Y Chen
AIP Conference Proceedings 2102 (1), 2019
82019
Alternating gradient descent ascent for nonconvex min-max problems in robust learning and GANs
S Lu, R Singh, X Chen, Y Chen, M Hong
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 680-684, 2019
72019
Incremental inference of collective graphical models.
R Singh, I Haasler, Q Zhang, J Karlsson, Y Chen
IEEE Control Systems Letters, 2020
62020
Understand the dynamics of GANs via primal-dual optimization
S Lu, R Singh, X Chen, Y Chen, M Hong
62018
Signed Graph Neural Networks: A Frequency Perspective
R Singh, Y Chen
Transactions on Machine Learning Research, 2023
52023
Learning hidden Markov models from aggregate observations
R Singh, Q Zhang, Y Chen
Automatica 137, 110100, 2022
32022
Learning Gaussian hidden Markov models from aggregate data
R Singh, Y Chen
IEEE Control Systems Letters 7, 478-483, 2022
22022
Inference of collective Gaussian hidden Markov models
R Singh, Y Chen
2021 60th IEEE Conference on Decision and Control (CDC), 1637-1643, 2021
22021
Filtering for aggregate hidden markov models with continuous observations
Q Zhang, R Singh, Y Chen
arXiv preprint arXiv:2011.02521, 2020
22020
On spectral analysis of node centralities
R Singh, A Chakraborty, BS Manoj
2016 IEEE International Conference on Advanced Networks and …, 2016
22016
Inference of aggregate hidden Markov models with continuous observations
Q Zhang, R Singh, Y Chen
IEEE Control Systems Letters 6, 2377-2382, 2022
12022
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20