Meta-Learning for Effective Multi-task and Multilingual Modelling. - Ishan Tarunesh; Sushil Khyalia; Vishwajeet Kumar; Ganesh Ramakrishnan; Preethi Jyothi (EACL, 2021)

STING: Self-attention based Time-series Imputation Networks using GAN. - Eunkyu Oh; Taehun Kim; Yunhu Ji; Sushil Khyalia (ICDM, 2021)

PAC Mode Estimation using PPR Martingale Confidence Sequences. - Shubham Anand Jain; Rohan Shah; Sanit Gupta; Denil Mehta; Inderjeet J. Nair; Jian Vora; Sushil Khyalia; Sourav Das 001; Vinay J. Ribeiro; Shivaram Kalyanakrishnan (AISTATS, 2022)

SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning. - Eunkyu Oh; Taehun Kim; Minsoo Kim; Yunhu Ji; Sushil Khyalia (CoRR, 2022)

Some Upper Bounds on the Running Time of Policy Iteration on Deterministic MDPs. - Ritesh Goenka; Eashan Gupta; Sushil Khyalia; Pratyush Agarwal; Mulinti Shaik Wajid; Shivaram Kalyanakrishnan (CoRR, 2022)

Data Driven Grapheme-to-Phoneme Representations for a Lexicon-Free Text-to-Speech. - Abhinav Garg; Jiyeon Kim; Sushil Khyalia; Chanwoo Kim 001; Dhananjaya Gowda (ICASSP, 2024)

Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models. - Akhil Kedia; Mohd Abbas Zaidi; Sushil Khyalia; Jungho Jung; Harshith Goka; Haejun Lee (ICML, 2024)

MAVERIX: Multimodal Audio-Visual Evaluation Reasoning IndeX. - Liuyue Xie; George Z. Wei; Avik Kuthiala; Ce Zheng; Ananya Bal; Mosam Dabhi; Liting Wen; Taru Rustagi; Ethan Lai; Sushil Khyalia; Rohan Choudhury; Morteza Ziyadi; et al. (CoRR, 2025)