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20142021
most citedSimultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

6 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021★ 6 cited

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

Xing Han, Sambarta Dasgupta, Joydeep Ghosh

Many real-life applications involve simultaneously forecasting multiple time series that are hierarchically related via aggregation or disaggregation operations. For instance, comm…

cs.LG2017★ 1 cited

Particle Clustering Machine: A Dynamical System Based Approach

Sambarta Dasgupta, Keivan Ebrahimi, Umesh Vaidya

Identification of the clusters from an unlabeled data set is one of the most important problems in Unsupervised Machine Learning. The state of the art clustering algorithms are bas…

math.OC2017

Contingency Analysis of Power Networks : A System Theoretic Approach

Sambarta Dasgupta, Umesh Vaidya

In this work, we have proposed a system theoretic method to compute sensitivities of different lines for contingency analysis in power network. We have formulated the c…

math.OC2017★ 1 cited

Normally hyperbolic surfaces based finite-time transient stability monitoring of power system dynamics

Sambarta Dasgupta, Umesh Vaidya

In this paper, we develop a methodology for finite time rotor angle stability analysis using the theory of normal hyperbolic surfaces. The proposed method would bring new insights…

math.OC2014★ 1 cited

Actuator and sensor placement in linear advection PDE with building system applications

Umesh Vaidya, Rajeev Rajaram, Sambarta Dasgupta

We study the problem of actuator and sensor placement in a linear advection partial differential equation (PDE). The problem is motivated by its application to actuator and sensor…

math.OC2014

Control of systems in Lure form over erasure channel

Amit Diwadkar, Sambarta Dasgupta, Umesh Vaidya

In this paper, we study the problem of control of discrete-time nonlinear systems in Lure form over erasure channels at the input and output. The input and output channel uncertain…