5 citations · 6 across the 6 of their papers we have counts for
7 papers
Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis
Vennise Ho, Kristian Diana, Sandy Mourad +3
Credit risk analysis in financial institutions traditionally requires analysts to manually write SQL queries, run statistical computations, and build visualization dashboards. This…
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis
Lilian W. Bialokozowicz, Hoang M. Le, Tristan Sylvain +3
This paper introduces the Orthogonal Polynomials Quadrature Algorithm for Survival Analysis (OPSurv), a new method providing time-continuous functional outputs for both single and…
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks
Vineel Nagisetty, Laura Graves, Guanting Pan +2
In this paper, we propose a new Deep Neural Network (DNN) testing algorithm called the Constrained Gradient Descent (CGD) method, and an implementation we call CGDTest aimed at exp…
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa +1
We present a novel hybrid algorithm for training Deep Neural Networks that combines the state-of-the-art Gradient Descent (GD) method with a Mixed Integer Linear Programming (MILP)…
GANs & Reels: Creating Irish Music using a Generative Adversarial Network
Antonina Kolokolova, Mitchell Billard, Robert Bishop +5
In this paper we present a method for algorithmic melody generation using a generative adversarial network without recurrent components. Music generation has been successfully done…
Amnesiac Machine Learning
Laura Graves, Vineel Nagisetty, Vijay Ganesh
The Right to be Forgotten is part of the recently enacted General Data Protection Regulation (GDPR) law that affects any data holder that has data on European Union residents. It g…
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI Systems
Vineel Nagisetty, Laura Graves, Joseph Scott +1
Generative Adversarial Networks (GANs) are a revolutionary class of Deep Neural Networks (DNNs) that have been successfully used to generate realistic images, music, text, and othe…