Rahul Singh

Orcid: 0000-0002-3889-8456

Affiliations:
  • Georgia Institute of Technology, Atlanta, GA, USA (PhD 2023)


According to our database1, Rahul Singh authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Learning with graph structured data.
PhD thesis, 2023

Signed Graph Neural Networks: A Frequency Perspective.
Trans. Mach. Learn. Res., 2023

Learning Gaussian Hidden Markov Models From Aggregate Data.
IEEE Control. Syst. Lett., 2023

2022
Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach.
IEEE Trans. Autom. Control., 2022

Inference of Aggregate Hidden Markov Models With Continuous Observations.
IEEE Control. Syst. Lett., 2022

Learning hidden Markov models from aggregate observations.
Autom., 2022

Sample-based Distributional Policy Gradient.
Proceedings of the Learning for Dynamics and Control Conference, 2022

2021
Multi-Marginal Optimal Transport and Probabilistic Graphical Models.
IEEE Trans. Inf. Theory, 2021

Incremental Inference of Collective Graphical Models.
IEEE Control. Syst. Lett., 2021

Inference of collective Gaussian hidden Markov models.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Filtering for Aggregate Hidden Markov Models with Continuous Observations.
CoRR, 2020

Inference with Aggregate Data: An Optimal Transport Approach.
CoRR, 2020

Improving Robustness via Risk Averse Distributional Reinforcement Learning.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019


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