most citedInterleaving Fast and Slow Decision Making

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

collaborators

5 papers

quant-ph2022

Pseudorandom (Function-Like) Quantum State Generators: New Definitions and Applications

Prabhanjan Ananth, Aditya Gulati, Luowen Qian +1

Pseudorandom quantum states (PRS) are efficiently constructible states that are computationally indistinguishable from being Haar-random, and have recently found cryptographic appl…

cs.HC2022★ 4 cited

BIASeD: Bringing Irrationality into Automated System Design

Aditya Gulati, Miguel Angel Lozano, Bruno Lepri +1

Human perception, memory and decision-making are impacted by tens of cognitive biases and heuristics that influence our actions and decisions. Despite the pervasiveness of such bia…

math.NT2020

On algorithms to find p-ordering

Aditya Gulati, Sayak Chakrabarti, Rajat Mittal

The concept of p-ordering for a prime p was introduced by Manjul Bhargava (in his PhD thesis) to develop a generalized factorial function over an arbitrary subset of integers. This…

cs.AI2020★ 5 cited

Interleaving Fast and Slow Decision Making

Aditya Gulati, Sarthak Soni, Shrisha Rao

The "Thinking, Fast and Slow" paradigm of Kahneman proposes that we use two different styles of thinking -- a fast and intuitive System 1 for certain tasks, along with a slower but…

cs.CR2020

Accelerating 2PC-based ML with Limited Trusted Hardware

Muqsit Nawaz, Aditya Gulati, Kunlong Liu +3

This paper describes the design, implementation, and evaluation of Otak, a system that allows two non-colluding cloud providers to run machine learning (ML) inference without knowi…