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Rohit Agarwal

8 papers hereh-index 319 citations10 works total

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

author position
  • first author6
  • middle author2

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

fields
  • cs.LG4
  • cs.CV2
  • cs.AI1
  • physics.optics1
same name
  • Rohit Agarwal — 5 papers, h 4
  • Rohit Agarwal — 3 papers, h 10
  • Rohit Agarwal — 2 papers, h 2
  • Rohit Agarwal — 1 paper, h 1

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
20232025
most citedOnline Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.AI2023

No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series

Rohit Agarwal, Aman Sinha, Ayan Vishwakarma +5

Modeling irregularly-sampled time series (ISTS) is challenging because of missing values. Most existing methods focus on handling ISTS by converting irregularly sampled data into r…

physics.optics2023

Taxonomy of hybridly polarized Stokes vortex beams

Gauri Arora, Ankit Butola, Ruchi Rajput +5

Structured beams carrying topological defects, namely phase and Stokes singularities, have gained extensive interest in numerous areas of optics. The non-separable spin and orbital…

cs.CV2023

MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval

Rohit Agarwal, Gyanendra Das, Saksham Aggarwal +2

Image retrieval has garnered growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid…

cs.LG2023

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts

Rohit Agarwal, Deepak Gupta, Alexander Horsch +1

Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the a…

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