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V. Agneeswaran

10 papers hereh-index 3129 citations12 works total

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

author position
  • middle author1
  • last author9

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • cs.AI1
  • cs.CL1
  • eess.SP1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

most citedMamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

5 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems

Badri N. Patro, Vijay S. Agneeswaran

The field of artificial intelligence has undergone a revolution from foundational Transformer architectures to reasoning-capable systems approaching human-level performance. We pre…

cs.LG2024★ 5 cited

Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges

Badri Narayana Patro, Vijay Srinivas Agneeswaran

Sequence modeling is a crucial area across various domains, including Natural Language Processing (NLP), speech recognition, time series forecasting, music generation, and bioinfor…

cs.LG2024

High Significant Fault Detection in Azure Core Workload Insights

Pranay Lohia, Laurent Boue, Sharath Rangappa +1

Azure Core workload insights have time-series data with different metric units. Faults or Anomalies are observed in these time-series data owing to faults observed with respect to…

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