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researcher

Y. Sabharwal

20 papers hereh-index 262.1k citations110 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author15
  • last author5

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.DC9
  • cs.DS7
  • cs.LG2
  • cs.CC1
  • math.OC1
same name
  • Y. Sabharwal — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102021
most citedEfficient Scaling of Dynamic Graph Neural Networks

34 citations · 112 across the 16 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.DC2017★ 3 cited

Efficient Training of Convolutional Neural Nets on Large Distributed Systems

Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena +2

Deep Neural Networks (DNNs) have achieved im- pressive accuracy in many application domains including im- age classification. Training of DNNs is an extremely compute- intensive pr…

cs.DC2017★ 2 cited

Efficient Inferencing of Compressed Deep Neural Networks

Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury +2

Large number of weights in deep neural networks makes the models difficult to be deployed in low memory environments such as, mobile phones, IOT edge devices as well as "inferencin…

cs.DC2017

On Optimizing Distributed Tucker Decomposition for Dense Tensors

Venkatesan T Chakaravarthy, Jee W Choi, Douglas J Joseph +4

The Tucker decomposition expresses a given tensor as the product of a small core tensor and a set of factor matrices. Apart from providing data compression, the construction is use…

cs.DS2017

Replica Placement on Bounded Treewidth Graphs

Anshul Aggarwal, Venkatesan T. Chakaravarthy, Neelima Gupta +3

We consider the replica placement problem: given a graph with clients and nodes, place replicas on a minimum set of nodes to serve all the clients; each client is associated with a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.