18 citations · 21 across the 8 of their papers we have counts for
8 papers
Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems
Biplab Pal, Santanu Bhattacharya, Madanjit Singh
Blind-spot mass is a Good-Turing framework for quantifying deployment coverage risk in machine learning. In modern ML systems, operational state distributions are often heavy-taile…
The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
Biplab Pal, Santanu Bhattacharya
Agentic artificial intelligence (AI) in organizations is a sequential decision problem constrained by reliability and oversight cost. When deterministic workflows are replaced by s…
The Iceberg Index: Measuring Skills-centered Exposure in the AI Economy
Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador +7
Artificial Intelligence is reshaping America's $9.4 trillion labor market, with cascading effects that extend far beyond visible technology sectors. When AI transforms quality con…
G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes
Shrimon Mukherjee, Pulakesh Pramanik, Partha Basuchowdhuri +1
G-Quadruplexes are the four-stranded non-canonical nucleic acid secondary structures, formed by the stacking arrangement of the guanine tetramers. They are involved in a wide range…
Mobility Data Analysis and Applications: A mid-year 2021 Survey
Abhishek Singh, Alok Mathur, Alka Asthana +5
In this work we review recent works analyzing mobility data and its application in understanding the epidemic dynamics for the COVID-19 pandemic and more. We also discuss privacy-p…
A Review of Homomorphic Encryption Libraries for Secure Computation
Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar +2
In this paper we provide a survey of various libraries for homomorphic encryption. We describe key features and trade-offs that should be considered while choosing the right approa…