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Saurabh Dash

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.NE1
  • cs.RO1
ORCID 0000-0003-2191-8411

identity via Semantic Scholar / OpenAlex

most citedLow Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022

Learning Point Processes using Recurrent Graph Network

Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay

We present a novel Recurrent Graph Network (RGN) approach for predicting discrete marked event sequences by learning the underlying complex stochastic process. Using the framework…

cs.NE2022★ 2 cited

Unsupervised Hebbian Learning on Point Sets in StarCraft II

Beomseok Kang, Harshit Kumar, Saurabh Dash +1

Learning the evolution of real-time strategy (RTS) game is a challenging problem in artificial intelligent (AI) system. In this paper, we present a novel Hebbian learning method to…

cs.RO2016★ 3 cited

Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode

Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta +17

On the lines of the huge and varied efforts in the field of automation with respect to technology development and innovation of vehicles to make them run autonomously, this paper p…

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