Arun Vignesh Malarkkan

Orcid: 0009-0000-5887-1915

According to our database1, Arun Vignesh Malarkkan authored at least 11 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures.
IEEE Trans. Big Data, June, 2026

Causally-Guided Diffusion for Stable Feature Selection.
CoRR, March, 2026

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles.
CoRR, March, 2026

Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation.
CoRR, March, 2026

Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning.
CoRR, February, 2026

2025
Distribution Shift Aware Neural Tabular Learning.
CoRR, August, 2025

Rethinking Spatio-Temporal Anomaly Detection: A Vision for Causality-Driven Cybersecurity.
CoRR, July, 2025

A Survey on Data-Centric AI: Tabular Learning from Reinforcement Learning and Generative AI Perspective.
CoRR, February, 2025

DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming.
Proceedings of the IEEE International Conference on Data Mining, 2025

Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Multi-view Causal Graph Fusion Based Anomaly Detection in Cyber-Physical Infrastructures.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024


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