On spectral analysis of node centralities. - Rahul Singh 002; Abhishek Chakraborty 002; B. S. Manoj 001 (ANTS, 2016)

Graph Fourier transform based on directed Laplacian. - Rahul Singh 002; Abhishek Chakraborty 002; B. S. Manoj 001 (SPCOM, 2016)

Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. - Songtao Lu; Rahul Singh 002; Xiangyi Chen; Yongxin Chen; Mingyi Hong 001 (ACSSC, 2019)

Improving Robustness via Risk Averse Distributional Reinforcement Learning. - Rahul Singh 002; Qinsheng Zhang; Yongxin Chen (L4DC, 2020)

Inference with Aggregate Data: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (CoRR, 2020)

Filtering for Aggregate Hidden Markov Models with Continuous Observations. - Qinsheng Zhang; Rahul Singh 002; Yongxin Chen (CoRR, 2020)

Inference of collective Gaussian hidden Markov models. - Rahul Singh 002; Yongxin Chen (CDC, 2021)

Incremental Inference of Collective Graphical Models. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Control. Syst. Lett., 2021)

Multi-Marginal Optimal Transport and Probabilistic Graphical Models. - Isabel Haasler; Rahul Singh 002; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Inf. Theory, 2021)

Sample-based Distributional Policy Gradient. - Rahul Singh 002; Keuntaek Lee; Yongxin Chen (L4DC, 2022)

Learning hidden Markov models from aggregate observations. - Rahul Singh 002; Qinsheng Zhang; Yongxin Chen (Autom., 2022)

Inference of Aggregate Hidden Markov Models With Continuous Observations. - Qinsheng Zhang; Rahul Singh 002; Yongxin Chen (IEEE Control. Syst. Lett., 2022)

Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. - Rahul Singh 002; Isabel Haasler; Qinsheng Zhang; Johan Karlsson; Yongxin Chen (IEEE Trans. Autom. Control., 2022)

Learning Gaussian Hidden Markov Models From Aggregate Data. - Rahul Singh 002; Yongxin Chen (IEEE Control. Syst. Lett., 2023)

Signed Graph Neural Networks: A Frequency Perspective. - Rahul Singh 002; Yongxin Chen (Trans. Mach. Learn. Res., 2023)

Learning with graph structured data. - Rahul Singh 002 (2023)