Rohan T. Money

According to our database, Rohan T. Money authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation.

Samuel Domínguez-Cid, Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, D. F. Larios, Carlos León

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.

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi

Proceedings of the IEEE International Conference on Acoustics, 2024

Limited Data Forecasting of Financial Time-Series Using Graph-Based Class Dynamics.

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Sparse Online Learning With Kernels Using Random Features for Estimating Nonlinear Dynamic Graphs.

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano

IEEE Trans. Signal Process., 2023

Online Edge Flow Imputation on Networks.

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano, Elvin Isufi

IEEE Signal Process. Lett., 2023

Simplicial Vector Autoregressive Model For Streaming Edge Flows.

Joshin Krishnan, Rohan T. Money, Baltasar Beferull-Lozano, Elvin Isufi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs.

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Random Feature Approximation for Online Nonlinear Graph Topology Identification.

Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021