Feature Extraction and Opinion Mining in Online Product Reviews. - Siddharth Aravindan; Asif Ekbal (ICIT, 2014)

Learning to Prune Deep Neural Networks via Reinforcement Learning. - Manas Gupta; Siddharth Aravindan; Aleksandra Kalisz; Vijay Chandrasekhar 001; Jie Lin 001 (CoRR, 2020)

State-Aware Variational Thompson Sampling for Deep Q-Networks. - Siddharth Aravindan; Wee Sun Lee (AAMAS, 2021)

An Analysis of Frame-skipping in Reinforcement Learning. - Shivaram Kalyanakrishnan; Siddharth Aravindan; Vishwajeet Bagdawat; Varun Bhatt; Harshith Goka; Archit Gupta; Kalpesh Krishna; Vihari Piratla (CoRR, 2021)

ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. - Dixant Mittal; Siddharth Aravindan; Wee Sun Lee (AAMAS, 2023)

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. - Siddharth Aravindan; Dixant Mittal; Wee Sun Lee (ACML, 2024)

Instructive3D: Editing Large Reconstruction Models with Text Instructions. - Kunal Kathare; Ankit Dhiman; Vikas K. Gowda; Siddharth Aravindan; Shubham Monga; Basavaraja Shanthappa Vandrotti; Lokesh R. Boregowda (WACV, 2025)

Instructive3D: Editing Large Reconstruction Models with Text Instructions. - Kunal Kathare; Ankit Dhiman; Vikas Kantha Gowda; Siddharth Aravindan; Shubham Monga; Basavaraja Shanthappa Vandrotti; Lokesh R. Boregowda (CoRR, 2025)