activity
20162021
most citedThe Differential Entropy of Mixtures: New Bounds and Applications

15 citations · 50 across the 18 of their papers we have counts for

collaborators

24 papers

cs.LG2021

Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs

Harish Doddi, Deepjyoti Deka, Saurav Talukdar +1

We consider a networked linear dynamical system with agents/nodes. We study the problem of learning the underlying graph of interactions/dependencies from observations of the n…

cs.DC2021★ 4 cited

Carbon-Aware Computing for Datacenters

Ana Radovanovic, Ross Koningstein, Ian Schneider +12

The amount of CO emitted per kilowatt-hour on an electricity grid varies by time of day and substantially varies by location due to the types of generation. Networked collectio…

cs.IT2021

Energetics of Feedback: Application to Memory Erasure

Harish Doddi, Saurav Talukdar, Murti Salapaka

Landauer's erasure principle states that any irreversible erasure protocol of a single bit memory needs work of at least Recent proof of concept experiments has demons…

cs.DC2021

Power Modeling for Effective Datacenter Planning and Compute Management

Ana Radovanovic, Bokan Chen, Saurav Talukdar +3

Datacenter power demand has been continuously growing and is the key driver of its cost. An accurate mapping of compute resources (CPU, RAM, etc.) and hardware types (servers, acce…

eess.SY2020

Topology Learning in Radial Dynamical Systems with Unreliable Data

Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar +2

Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data ar…

q-bio.SC2020

Hindering loads prompt clustered configurations that enhance stability during cargo transport by multiple Kinesin-1

Shreyas Bhaban, Rachit Srivastava, James Melbourne +2

Transport of intracellular cargo is often mediated by teams of molecular motors that function in a chaotic environment under varying conditions. We show that the motors have unique…

eess.SY2019

Graphical Models in Meshed Distribution Grids: Topology estimation, change detection and limitations

Deepjyoti Deka, Saurav Talukdar, Michael Chertkov +1

Graphical models are a succinct way to represent the structure in probability distributions. This article analyzes the graphical model of nodal voltages in non-radial power distrib…

eess.SY2019

Exact Topology Learning in a Network of Cyclostationary Processes

Harish Doddi, Saurav Talukdar, Deepjyoti Deka +1

Learning the structure of a network from time series data, in particular cyclostationary data, is of significant interest in many disciplines such as power grids, biology and finan…

eess.SY2018

Data-driven identification of a thermal network in multi-zone building

Harish Doddi, Saurav Talukdar, Deepjyoti Deka +1

System identification of smart buildings is necessary for their optimal control and application in demand response. The thermal response of a building around an operating point can…

eess.SY2018

Physics Informed Topology Learning in Networks of Linear Dynamical Systems

Saurav Talukdar, Deepjyoti Deka, Harish Doddi +3

Learning influence pathways of a network of dynamically related processes from observations is of considerable importance in many disciplines. In this article, influence networks o…

cond-mat.stat-mech2018

Realizing Information Erasure in Finite Time

James Melbourne, Saurav Talukdar, Murti Salapaka

In this article, we focus on erasure of a bit of information in finite time. Landauer's principle states that the average heat dissipation due to erasure of information is k_B T ln…

cs.IT2018★ 7 cited

Error Bounds on a Mixed Entropy Inequality

James Melbourne, Saurav Talukdar, Shreyas Bhaban +1

Motivated by the entropy computations relevant to the evaluation of decrease in entropy in bit reset operations, the authors investigate the deficit in an entropic inequality invol…

cs.IT2018★ 15 cited

The Differential Entropy of Mixtures: New Bounds and Applications

James Melbourne, Saurav Talukdar, Shreyas Bhaban +2

Mixture distributions are extensively used as a modeling tool in diverse areas from machine learning to communications engineering to physics, and obtaining bounds on the entropy o…

cond-mat.stat-mech2018

Designing Memory Bits with Dissipation lower than the Landauer's Bound

Saurav Talukdar, Shreyas Bhaban, James Melbourne +1

A Brownian particle in a symmetric double well potential is used as a representation for a single bit memory, where, the location of the particle in either well denotes one of the…

eess.SY2018

Topology Learning of Radial Dynamical Systems with Latent Nodes

Saurav Talukdar, Deepjyoti Deka, Michael Chertkov +1

In this article, we present a method to reconstruct the topology of a partially observed radial network of linear dynamical systems with bi-directional interactions. Our approach e…

eess.SY2017

Learning the Exact Topology of Undirected Consensus Networks

Saurav Talukdar, Deepjyoti Deka, Sandeep Attree +2

In this article, we present a method to learn the interaction topology of a network of agents undergoing linear consensus updates in a non invasive manner. Our approach is based on…

eess.SY2017

Distributed Apportioning in a Power Network for providing Demand Response Services

Sourav Patel, Sandeep Attree, Saurav Talukdar +2

Greater penetration of Distributed Energy Resources (DERs) in power networks requires coordination strategies that allow for self-adjustment of contributions in a network of DERs,…

math.OC2017★ 8 cited

Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery

Deepjyoti Deka, Saurav Talukdar, Michael Chertkov +1

The topology of a power grid affects its dynamic operation and settlement in the electricity market. Real-time topology identification can enable faster control action following an…

math.OC2017

Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics

Saurav Talukdar, Deepjyoti Deka, Blake Lundstrom +2

Estimation of the operational topology of the power grid is necessary for optimal market settlement and reliable dynamic operation of the grid. This paper presents a novel framewor…

math.OC2017★ 1 cited

Distributed Finite Time Termination of Ratio Consensus for Averaging in the presence of Delays

Mangal Prakash, Saurav Talukdar, Sandeep Attree +2

Distributed averaging of agent initial conditions is a well-studied problem in context of networked systems where coordination amongst the agents is of paramount importance. The as…

cs.LG2017★ 2 cited

Exact Topology Reconstruction of Radial Dynamical Systems with Applications to Distribution System of the Power Grid

Saurav Talukdar, Deepjyoti Deka, Donatello Materassi +1

In this article we present a method to reconstruct the interconnectedness of dynamically related stochastic processes, where the interactions are bi-directional and the underlying…

math.OC2017

Single Molecule Studies Under Constant Force Using Model Based Robust Control Design

Shreyas Bhaban, Saurav Talukdar, Mingang Li +3

Optical tweezers have enabled important insights into intracellular transport through the investigation of motor proteins, with their ability to manipulate particles at the microsc…

math.OC2017

Distributed Finite Time Termination of Consensus in the Presence of Delays

Mangal Prakash, Saurav Talukdar, Sandeep Attree +2

Linear consensus iterations guarantee asymptotic convergence, thereby, limiting their applicability in applications where consensus value needs to be used in real time to perform a…

cond-mat.stat-mech2016★ 13 cited

Memory Erasure using Time Multiplexed Potentials

Saurav Talukdar, Shreyas Bhaban, Murti V. Salapaka

We study the thermodynamics of a Brownian particle under the influence of a time multiplexed harmonic potential of finite width. The memory storage mechanism and the erasure protoc…