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V. ArunKumarA.

2 papers indexed here

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#artificial intelligence Preprint Sep 2026

DISEIL: Demonstration Distillation for Sample-Efficient Imitation Learning

A robot that can be taught a new task from a handful of demonstrations has to work out for itself what it still cannot do, and then ask for exactly that. Interactive imitation learning takes a step in that direction by letting a policy practice on its own and calling an expert when it goes wrong. Existing methods decid...

Suyog Khanal, V. ArunKumarA., Santu Rana · 1 citation
#machine learning Preprint Aug 2026

SMOTE-VAR: An Uncertainty-Aware Oversampling Method for Predicting Depression Remission in University Students

By improving the reliable identification of non-responders, the method provides a robust computational tool to help clinicians rapidly pivot to adjunctive therapies, thereby personalizing and optimizing mental health care pathways.

Dang Nguyen, V. ArunKumarA., Taylor A. Braund et al. · 0 citations

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