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researcher

S. Ukkusuri

9 papers hereh-index 7151 citations48 works total

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

author position
  • middle author2
  • last author6

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CR1
  • cs.CV1
  • cs.RO1
  • econ.EM1
  • econ.GN1
same name
  • S. Ukkusuri — 49 papers, h 66

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
20242026
most citedData Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook

2 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Controllable Road Marking Generation

Zhiyu, Cai, Yufan Zhang +3

Lane and road markings provide critical guidance for vehicle navigation and multi-agent coordination, yet authoring them at scale remains a manual workflow that limits quantitative…

cs.RO2026

Worst-Case Hidden-Vehicle Trajectory Search in Spatiotemporal Occlusion Regions

Ruichen Tan, Zengxiang Lei, Satish Ukkusuri

Occlusion creates fundamental uncertainty in autonomous driving. Existing methods often propagate frame-wise hypotheses or optimize ego behavior against prescribed hidden-agent pre…

cs.LG2026

Observation-Aligned Two-Stage Domain Decomposition for Physics-Informed Traffic State Estimation with Sparse Fixed Sensors

Eunhan Ka, Ludovic Leclercq, Satish V. Ukkusuri

Traffic state estimation from sparse fixed sensors is challenging because physics-informed neural networks (PINNs) tend to over-smooth sharp transitions admitted by the Lighthill-W…

cs.LG2026

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees

Zengxiang Lei, Ananth Shreekumar, Jonathan Rosenthal +6

Generative Flow Networks (GFlowNets) sample diverse structured objects in proportion to reward and have been applied to molecular discovery and biological-sequence design, where fi…

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