Multi-sensor Visual Analytics Supported by Machine-Learning Models. - Geetika Sharma; Gautam Shroff; Aditeya Pandey; Brijendra Singh; Gunjan Sehgal; Kaushal Paneri; Puneet Agarwal (ICDM Workshops, 2015)

Visual Bayesian fusion to navigate a data lake. - Karamjit Singh; Kaushal Paneri; Aditeya Pandey; Garima Gupta; Geetika Sharma; Puneet Agarwal; Gautam Shroff (FUSION, 2016)

Visual Statistical Analysis of Environmental Sensor Data. - Bindu Gupta; Kaushal Paneri; Gunjan Sehgal; Karamjit Singh; Geetika Sharma; Gautam Shroff (VAST, 2017)

Crop Planning using Stochastic Visual Optimization. - Gunjan Sehgal; Bindu Gupta; Kaushal Paneri; Karamjit Singh; Geetika Sharma; Gautam Shroff (CoRR, 2017)

Regularizing Fully Convolutional Networks for Time Series Classification by Decorrelating Filters. - Kaushal Paneri; Vishnu TV; Pankaj Malhotra; Lovekesh Vig; Gautam Shroff (AAAI, 2019)

Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems. - Robert Osazuwa Ness; Kaushal Paneri; Olga Vitek (NeurIPS, 2019)

Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis. - Jeremy Zucker; Kaushal Paneri; Sara Mohammad Taheri; Somya Bhargava; Pallavi Kolambkar; Craig Bakker; Jeremy Teuton; Charles Tapley Hoyt; Kristie L. Oxford; Robert Osazuwa Ness; Olga Vitek (IEEE Trans. Big Data, 2021)

Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning. - Yimeng Jia; Kaushal Paneri; Rong Huang; Kailash Singh Maurya; Pavan Mallapragada; Yifan Shi (CoRR, 2024)

Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders. - Kaushal Paneri; Michael Munje; Kailash Singh Maurya; Adith Swaminathan; Yifan Shi (CoRR, 2024)