Anirudh Satheesh

According to our database1, Anirudh Satheesh authored at least 9 papers between 2024 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Distributionally Robust Self Paced Curriculum Reinforcement Learning.
CoRR, November, 2025

Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems.
CoRR, October, 2025

MORSE-500: A Programmatically Controllable Video Benchmark to Stress-Test Multimodal Reasoning.
CoRR, June, 2025

A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control.
CoRR, March, 2025

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training.
Trans. Mach. Learn. Res., 2025

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.
Trans. Mach. Learn. Res., 2025

cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?
CoRR, 2024

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024


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