activity
20192025
most citedLong Horizon Forecasting With Temporal Point Processes

9 citations · 16 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2025

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization

Drishti Goel, Raghav Magazine, Supriyo Ghosh +5

Root cause analysis (RCA) for incidents in large-scale cloud systems is a complex, knowledge-intensive task that often requires significant manual effort from on-call engineers (OC…

cs.LG2021

Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts

Prathamesh Deshpande, Sunita Sarawagi

Long range forecasts are the starting point of many decision support systems that need to draw inference from high-level aggregate patterns on forecasted values. State of the art t…

cs.LG2021

Missing Value Imputation on Multidimensional Time Series

Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi

We present DeepMVI, a deep learning method for missing value imputation in multidimensional time-series datasets. Missing values are commonplace in decision support platforms that…

cs.LG2021★ 9 cited

Long Horizon Forecasting With Temporal Point Processes

Prathamesh Deshpande, Kamlesh Marathe, Abir De +1

In recent years, marked temporal point processes (MTPPs) have emerged as a powerful modeling machinery to characterize asynchronous events in a wide variety of applications. MTPPs…

cs.LG2019★ 7 cited

Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units

Prathamesh Deshpande, Sunita Sarawagi

We present ARU, an Adaptive Recurrent Unit for streaming adaptation of deep globally trained time-series forecasting models. The ARU combines the advantages of learning complex dat…