Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Talukdar, Saurav"'
Publikováno v:
AISTATS 2022
We consider a networked linear dynamical system with $p$ agents/nodes. We study the problem of learning the underlying graph of interactions/dependencies from observations of the nodal trajectories over a time-interval $T$. We present a regularized n
Externí odkaz:
http://arxiv.org/abs/2110.00852
Autor:
Radovanovic, Ana, Koningstein, Ross, Schneider, Ian, Chen, Bokan, Duarte, Alexandre, Roy, Binz, Xiao, Diyue, Haridasan, Maya, Hung, Patrick, Care, Nick, Talukdar, Saurav, Mullen, Eric, Smith, Kendal, Cottman, MariEllen, Cirne, Walfredo
The amount of CO$_2$ 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 collections of warehouse scale computers, sometimes called Hyperscale Computing
Externí odkaz:
http://arxiv.org/abs/2106.11750
Landauer's erasure principle states that any irreversible erasure protocol of a single bit memory needs work of at least $k_B T ln2.$ Recent proof of concept experiments has demonstrated that the erasure protocols with work close to the Landauer limi
Externí odkaz:
http://arxiv.org/abs/2104.01341
Autor:
Radovanovic, Ana, Chen, Bokan, Talukdar, Saurav, Roy, Binz, Duarte, Alexandre, Shahbazi, Mahya
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, accelerators, etc.) to power consumption has emerged as a critical require
Externí odkaz:
http://arxiv.org/abs/2103.13308
Many complex engineering systems admit bidirectional and linear couplings between their agents. Blind and passive methods to identify such influence pathways/couplings from data are central to many applications. However, dynamically related data-stre
Externí odkaz:
http://arxiv.org/abs/2009.13458
Topology learning is an important problem in dynamical systems with implications to security and optimal control. The majority of prior work in consistent topology estimation relies on dynamical systems excited by temporally uncorrelated processes. I
Externí odkaz:
http://arxiv.org/abs/2009.12667
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 steady state behavior which enables transport modalities that are rob
Externí odkaz:
http://arxiv.org/abs/2007.02206
Graphical Models in Meshed Distribution Grids: Topology estimation, change detection and limitations
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 distribution grids. Using algebraic and structural properties of graphical mo
Externí odkaz:
http://arxiv.org/abs/1905.06550
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 finance. In this article, an algorithm is presented for reconstruction of t
Externí odkaz:
http://arxiv.org/abs/1903.09210
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 be modeled using a network of interconnected resistors with capacitor
Externí odkaz:
http://arxiv.org/abs/1810.07400