Quasi-random Multi-Sample Inference for Large Language Models

Aditya Parashar, Aditya Vikram Singh, Avinash Amballa, Jinlin Lai, Benjamin Rozonoyer

ICLR Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning

LS-GAN: Human Motion Synthesis with Latent-space GANs

Avinash Amballa, Gayathri Akkinapalli, Vinitra Muralikrishnan

Proceedings of the Winter Conference on Applications of Computer Vision

Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness

Avinash Amballa, Durga Sandeep Saluru, Gayathri Akkinapalli, Abhishek Sureddy, Akshay Kumar Sureddy

arXiv preprint 2412.00074

Targeted attacks on Time Series Forecasting

Yuvaraj Govindarajulu, Avinash Amballa, Pavan Kulkarni, Manojkumar Parmar

arxiv preprint: 2301.11544

Discrete Control in Real-World Driving Environments using Deep Reinforcement Learning

Avinash Amballa, Advaith P, PRADIP SASMAL, Sumohana Channappayya

arxiv preprint: 2211.15920

Automated Model Selection for Tabular Data

Avinash Amballa, Gayathri Akkinapalli,Manas Madine, Priya Yarrabolu, Przemyslaw A. Grabowicz

arxiv preprint: 2401.00961