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researcher

R. Balasubramanian

3 papers hereh-index 17 citations7 works total

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.CL1
  • cs.IR1
  • cs.LG1
same name
  • R. Balasubramanian — 66 papers, h 17
  • R. Balasubramanian — 7 papers, h 16
  • R. Balasubramanian — 5 papers, h 8
  • R. Balasubramanian — 5 papers, h 3
  • R. Balasubramanian — 4 papers, h 17
  • R. Balasubramanian — 4 papers

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
20202026
most citedVariational Inference for Category Recommendation in E-Commerce platforms

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2026

ChunkWise LoRA: Adaptive Sequence Partitioning for Memory-Efficient Low-Rank Adaptation and Accelerated LLM Inference

Ketan Thakkar, Maitreyi Chatterjee, Ramasubramanian Balasubramanian +2

Recent advances in low-rank adaptation (LoRA) have enabled efficient fine-tuning of large language models (LLMs) with minimal additional parameters. However, existing LoRA methods…

cs.IR2021★ 1 cited

Variational Inference for Category Recommendation in E-Commerce platforms

Ramasubramanian Balasubramanian, Venugopal Mani, Abhinav Mathur +2

Category recommendation for users on an e-Commerce platform is an important task as it dictates the flow of traffic through the website. It is therefore important to surface precis…

cs.LG2020

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering

Venugopal Mani, Ramasubramanian Balasubramanian, Sushant Kumar +2

Recommender Systems have become an integral part of online e-Commerce platforms, driving customer engagement and revenue. Most popular recommender systems attempt to learn from use…

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