Rohan T. Money

Orcid: 0000-0001-5380-772X

According to our database1, Rohan T. Money authored at least 13 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Online Topology Identification of Higher-Order Cell Structures.
Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

Cellular Autoregressive Higher-Order Models.
Proceedings of the 33rd European Signal Processing Conference, 2025

Change Point Detection, Localization, and Imputation of Topological Signals.
Proceedings of the 59th Asilomar Conference on Signals, 2025

2024
Simplicial Vector Autoregressive Models.
IEEE Trans. Signal Process., 2024

Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Limited Data Forecasting of Financial Time-Series Using Graph-Based Class Dynamics.
Proceedings of the 32nd European Signal Processing Conference, 2024

Kalman Filtering for Simplicial Processes.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2023
Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs.
IEEE Trans. Signal Process., 2023

Online Edge Flow Imputation on Networks.
IEEE Signal Process. Lett., 2023

Simplicial Vector Autoregressive Model For Streaming Edge Flows.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Random Feature Approximation for Online Nonlinear Graph Topology Identification.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021


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