Vineel Nagisetty

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Neural Network Structure

Conjugate Gradient

Levenberg Marquardt

Defeasible Logic

Top Venues

Publications

Lilian W. Bialokozowicz, Hoang M. Le, Tristan Sylvain, Peter A. I. Forsyth, Vineel Nagisetty, Greg Mori
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis. CoRR (2024)
Vineel Nagisetty, Laura Graves, Guanting Pan, Piyush Jha, Vijay Ganesh
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks. CoRR (2023)
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks. IJCAI (2022)
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa, Vijay Ganesh
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks. CoRR (2022)
Laura Graves, Vineel Nagisetty, Vijay Ganesh
Amnesiac Machine Learning. AAAI (2021)
Antonina Kolokolova, Mitchell Billard, Robert Bishop, Moustafa Elsisy, Zachary Northcott, Laura Graves, Vineel Nagisetty, Heather Patey
GANs & Reels: Creating Irish Music using a Generative Adversarial Network. CoRR (2020)
Laura Graves, Vineel Nagisetty, Vijay Ganesh
Amnesiac Machine Learning. CoRR (2020)
Laura Graves, Vineel Nagisetty, Joseph Scott, Vijay Ganesh
LogicGAN: Logic-guided Generative Adversarial Networks. CoRR (2020)