Rohan T. Money — accepted AI-conference papers

2024

Evolution Backcasting of Edge Flows From Partial Observations Using Simplicial Vector Autoregressive Models

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

ICASSP 2024accepted

This paper proposes a novel algorithm to retroactively compute the evolution of edge signals from a given sequence of partial observations from topological structures, a concept referred to as evolution backcasting. Our backcasting algorithm exploits the spatio-temporal dependencies present in the r…

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2023

Simplicial Vector Autoregressive Model For Streaming Edge Flows

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

ICASSP 2023accepted

Vector autoregressive (VAR) model is widely used to model time-varying processes, but it suffers from prohibitive growth of the parameters when the number of time series exceeds a few hundreds. We propose a simplicial VAR model to mitigate the curse of dimensionality of the VAR models when the time…

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