Internal-Time Temporal Difference Model for Neural Value-Based Decision Making. - Hiroyuki Nakahara; Sivaramakrishnan Kaveri (Neural Comput., 2010)

Spatio-Temporal Multi-graph Networks for Demand Forecasting in Online Marketplaces. - Ankit Gandhi; Aakanksha; Sivaramakrishnan Kaveri; Vineet Chaoji (ECML/PKDD (4), 2021)

TrendSpotter: Forecasting E-commerce Product Trends. - Gayatri Ryali; Shreyas S; Sivaramakrishnan Kaveri; Prakash Mandayam Comar (CIKM, 2023)

Adversarial Density Ratio Estimation for Change Point Detection. - Shreyas S; Prakash Mandayam Comar; Sivaramakrishnan Kaveri (CIKM, 2023)

Predictive Relevance Uncertainty for Recommendation Systems. - Charul Paliwal; Anirban Majumder; Sivaramakrishnan Kaveri (WWW, 2024)

GCF: Estimating Unobserved Demand Using Graph Causal Forecasting. - Sayantan Basu; Mohit Kumar; Sivaramakrishnan Kaveri (AAAI, 2025)