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S. Sen

17 papers hereh-index 282.8k citations75 works total

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

author position
  • sole author1
  • middle author12
  • last author4

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.DS4
  • cs.LG4
  • cs.NI3
  • cs.AI2
  • cs.CR1
  • cs.DC1
same name
  • S. Sen — 533 papers
  • S. Sen — 63 papers, h 20
  • S. Sen — 61 papers
  • S. Sen — 42 papers, h 15
  • S. Sen — 31 papers, h 23
  • S. Sen — 28 papers, h 28

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
20082023
most citedAligning Superhuman AI with Human Behavior: Chess as a Model System

80 citations · 230 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.NI2020★ 15 cited

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity

Xu Zhang, Yiyang Ou, Siddhartha Sen +1

This paper aims to improve video streaming by leveraging a simple observation: users are more sensitive to low quality in certain parts of a video than in others. For instance, reb…

cs.NI2020★ 1 cited

A New Abstraction for Internet QoE Optimization

Junchen Jiang, Siddhartha Sen

A perennial quest in networking research is how to achieve higher quality of experience (QoE) for users without incurring more resources. This work revisits an important yet often…

cs.AI2020★ 19 cited

Learning Models of Individual Behavior in Chess

Reid McIlroy-Young, Russell Wang, Siddhartha Sen +2

AI systems that can capture human-like behavior are becoming increasingly useful in situations where humans may want to learn from these systems, collaborate with them, or engage w…

cs.AI2020★ 80 cited

Aligning Superhuman AI with Human Behavior: Chess as a Model System

Reid McIlroy-Young, Siddhartha Sen, Jon Kleinberg +1

As artificial intelligence becomes increasingly intelligent---in some cases, achieving superhuman performance---there is growing potential for humans to learn from and collaborate…

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