Underwater image enhancement using blending of CLAHE and percentile methodologies. - Diksha Garg; Naresh Kumar Garg; Munish Kumar 001 (Multim. Tools Appl., 2018)

Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN. - Diksha Garg; Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (SIGIR, 2019)

Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models. - Vishnu TV; Diksha Garg; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2019)

NISER: Normalized Item and Session Representations with Graph Neural Networks. - Priyanka Gupta 003; Diksha Garg; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2019)

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation. - Diksha Garg; Priyanka Gupta 003; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (CoRR, 2020)

Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression. - Diksha Garg; Pankaj Malhotra; Anil Bhatia; Sanjay Bhat; Lovekesh Vig; Gautam Shroff (CoRR, 2022)