Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning. - Avinash Amballa; Advaith P.; Pradip Sasmal; Sumohana S. Channappayya (CoRR, 2022)

Targeted Attacks on Timeseries Forecasting. - Yuvaraj Govindarajulu; Avinash Amballa; Pavan Kulkarni; Manojkumar Parmar (CoRR, 2023)

Automated Model Selection for Tabular Data. - Avinash Amballa; Anmol Mekala; Gayathri Akkinapalli; Manas Madine; Naga Pavana Priya Yarrabolu; Przemyslaw A. Grabowicz (CoRR, 2024)

Quasi-random Multi-Sample Inference for Large Language Models. - Aditya Parashar; Aditya Vikram Singh; Avinash Amballa; Jinlin Lai; Benjamin Rozonoyer (CoRR, 2024)

Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness. - Avinash Amballa; Durga Sandeep Saluru; Gayathri Akkinapalli; Abhishek Sureddy; Akshay Kumar Sureddy (CoRR, 2024)

LS-GAN: Human Motion Synthesis with Latent-Space GANs. - Avinash Amballa; Gayathri Akkinapalli; Vinitra Muralikrishnan (WACV (Workshops), 2025)

Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions. - Dhruvesh Patel; Aishwarya Sahoo; Avinash Amballa; Tahira Naseem; Tim G. J. Rudner; Andrew McCallum (CoRR, 2025)