Export 9 results:
Filters: Author is Joshin Krishnan  [Clear All Filters]
2023
J. Krishnan, R. Money, B. Beferull-Lozano and E. Isufi. Simplicial Vector Autoregressive Model for Streaming Edge Flows In 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023). IEEE, 2023.Package icon simplicial_var_model.zip (398.93 KB)
R. Money, J. Krishnan and B. Beferull-Lozano. "Sparse Online Learning with Kernels using Random Features for Estimating Nonlinear Dynamic Graphs." IEEE Transactions on Signal Processing 71 (2023): 2027-2042.
2022
R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi. "Online Edge Flow Imputation on Networks." IEEE Signal Processing Letters (2022).
R. Money, J. Krishnan and B. Beferull-Lozano. Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs In 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022.
R. Money, J. Krishnan, B. Beferull-Lozano and E. Isufi. "Scalable and Privacy-aware Online Learning of Nonlinear Structural Equation Models." IEEE Open Journal of Signal Processing (2022).
2021
J. Bhardwaj, J. Krishnan, D. F. L. Marin, B. Beferull-Lozano, L. R. Cenkeramaddi and C. Harman. "Cyber-Physical Systems for Smart Water Networks: A Review." IEEE Sensors Journal 21, no. 23 (2021): 26447-26469.
J. Bhardwaj, J. Krishnan and B. Beferull-Lozano. Data-Driven Pump Scheduling for Cost Minimization in Water Networks In 2021 IEEE International Conference on Autonomous Systems (ICAS)2021 IEEE International Conference on Autonomous Systems (ICAS). Montreal, QC, Canada: IEEE, 2021.
R. Money, J. Krishnan and B. Beferull-Lozano. Online Non-linear Topology Identification from Graph-connected Time Series In 2021 IEEE Data Science and Learning Workshop (DSLW)2021 IEEE Data Science and Learning Workshop (DSLW). Toronto, ON, Canada: IEEE, 2021.
R. Money, J. Krishnan and B. Beferull-Lozano. Random Feature Approximation for Online Nonlinear Graph Topology Identification In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP) 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). Gold Coast, Australia: IEEE, 2021.