My Google Scholar Profile

Book

1. Complex Networks: A Networking and Signal Processing Perspective
   B. S. Manoj, Abhishek Chakraborty, and Rahul Singh
   
   • Prentice Hall, 2018.

Journals

1. Signed Graph Neural Networks: A Frequency Perspective
   Rahul Singh and Yongxin Chen
   
   • Transactions on Machine Learning Research, 2023.
2. Inference with Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach
   Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, and Yongxin Chen
   
   • IEEE Transactions on Automatic Control, 2022.
3. Learning Gaussian Hidden Markov Models From Aggregate Data
   Rahul Singh and Yongxin Chen
   
   • IEEE Control Systems Letters, 2022.
4. Inference of Aggregate Hidden Markov Models With Continuous Observations
   Rahul Singh, Qinsheng Zhang, and Yongxin Chen
   
   • IEEE Control Systems Letters, 2022.
5. Learning Hidden Markov Models from Aggregate Observations
   Rahul Singh, Qinsheng Zhang, and Yongxin Chen
   
   • Automatica, 2022.
6. Multi-marginal Optimal Transport and Probabilistic Graphical Models
   Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, and Yongxin Chen
   
   • IEEE Transactions on Information Theory, 2021.
7. Incremental Inference of Collective Graphical Models.
   Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, and Yongxin Chen
   
   • IEEE Control Systems Letters, 2021.
8. GFT Centrality: A new Node Importance Measure for Complex Networks
   Rahul Singh, Abhishek Chakraborty, and B. S. Manoj
   
   • Elsevier Physica A: Statistical Mechanics and its Applications, 2017.

Conferences

1. Sample-based Distributional Policy Gradient
   Rahul Singh, Keuntaek Lee, and Yongxin Chen, L4DC 2022

2. Inference of Collective Gaussian Hidden Markov Models
   Rahul Singh and Yongxin Chen, CDC 2022

3. Improving Robustness via Risk Averse Distributional Reinforcement Learning
   Rahul Singh, Qinsheng Zhang, and Yongxin Chen, L4DC 2020

4. Alternating gradient descent ascent for nonconvex min-max problems in robust learning and GANs
   Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, and Mingyi Hong, Asilomar Conference on Signals, Systems, and Computers 2019

5. Graph Fourier Transform based on Directed Laplacian
   Rahul Singh, Abhishek Chakraborty, and B. S. Manoj, SPCOM 2016
   • Best Paper Award
6. On Spectral Analysis of Node Centralities
   Rahul Singh, Abhishek Chakraborty, and B. S. Manoj, ANTS 2016

Thesis

1. Graph Signal Processing for Complex Networks
   M. Tech. thesis, Department of Avionics, Indian Institute of Space Science and Technology, July 2015.