collaborators

6 papers

cs.LG2025

SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models

Aditya Mishra, Ravindra T, Srinivasan Iyengar +2

Traditional solar forecasting models are based on several years of site-specific historical irradiance data, often spanning five or more years, which are unavailable for newer phot…

cs.CV2025

LABELING COPILOT: A Deep Research Agent for Automated Data Curation in Computer Vision

Debargha Ganguly, Sumit Kumar, Ishwar Balappanawar +6

Curating high-quality, domain-specific datasets is a major bottleneck for deploying robust vision systems, requiring complex trade-offs between data quality, diversity, and cost wh…

cs.CL2025

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks

Debargha Ganguly, Vikash Singh, Sreehari Sankar +7

Large language models (LLMs) show remarkable promise for democratizing automated reasoning by generating formal specifications. However, a fundamental tension exists: LLMs are prob…

cs.DC2025

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron

Tella Rajashekhar Reddy, Palak, Rohan Gandhi +8

AI power demand is growing unprecedentedly thanks to the high power density of AI compute and the emerging inferencing workload. On the supply side, abundant wind power is waiting…

eess.SY2025

EnCortex: A General, Extensible and Scalable Framework for Decision Management in New-age Energy Systems

Millend Roy, Vaibhav Balloli, Anupam Sobti +4

With increased global warming, there has been a significant emphasis to replace fossil fuel-dependent energy sources with clean, renewable sources. These new-age energy systems are…

cs.LG2024

An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

Shreeyash Gowaikar, Srinivasan Iyengar, Sameer Segal +1

The Piping and Instrumentation Diagrams (P&IDs) are foundational to the design, construction, and operation of workflows in the engineering and process industries. However, their m…