3 citations · 3 across the 6 of their papers we have counts for
8 papers
Do Rollups Self-Organize? Multi-Agent Reinforcement Learning in the EIP-4844 Blob Fee Market
Alessio Brini
EIP-4844 gave Ethereum rollups a separate fee dimension for data, governed by a multiplicative update rule that targets three ``blobs'' per block. Whether this target is reached de…
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…
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…
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…
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…
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…
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…
Proof of Thought : Neurosymbolic Program Synthesis allows Robust and Interpretable Reasoning
Debargha Ganguly, Srinivasan Iyengar, Vipin Chaudhary +1
Large Language Models (LLMs) have revolutionized natural language processing, yet they struggle with inconsistent reasoning, particularly in novel domains and complex logical seque…