Siddharth Aravindan

11 papers A 3C 1Journal 6Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. CoRR Siddharth Aravindan, Dixant Mittal, Wee Sun Lee
2025	A	`conf`	Instructive3D: Editing Large Reconstruction Models with Text Instructions. WACV Kunal Kathare, Ankit Dhiman, Vikas K. Gowda, Siddharth Aravindan, Shubham Monga, Basavaraja Shanthappa Vandrotti, Lokesh R. Boregowda
2025	J	`jnl`	Instructive3D: Editing Large Reconstruction Models with Text Instructions. CoRR Kunal Kathare, Ankit Dhiman, Vikas Kantha Gowda, Siddharth Aravindan, Shubham Monga, Basavaraja Shanthappa Vandrotti, Lokesh R. Boregowda
2024	C	`conf`	EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning. ACML Siddharth Aravindan, Dixant Mittal, Wee Sun Lee
2023	A	`conf`	ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. AAMAS Dixant Mittal, Siddharth Aravindan, Wee Sun Lee
2022	J	`jnl`	ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search. CoRR Dixant Mittal, Siddharth Aravindan, Wee Sun Lee
2021	J	`jnl`	An Analysis of Frame-skipping in Reinforcement Learning. CoRR Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla
2021	A	`conf`	State-Aware Variational Thompson Sampling for Deep Q-Networks. AAMAS Siddharth Aravindan, Wee Sun Lee
2021	J	`jnl`	State-Aware Variational Thompson Sampling for Deep Q-Networks. CoRR Siddharth Aravindan, Wee Sun Lee
2020	J	`jnl`	Learning to Prune Deep Neural Networks via Reinforcement Learning. CoRR Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin
2014	—	`conf`	Feature Extraction and Opinion Mining in Online Product Reviews. ICIT Siddharth Aravindan, Asif Ekbal