Aditya Ranganath

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 8

Top Topics

Recurrent Neural Networks

Top Venues

Publications

Jason Van Tuinen, Aditya Ranganath, Goran Konjevod, Mukesh Singhal, Roummel F. Marcia
Novel Adversarial Defense Techniques for White-Box Attacks. ICMLA (2022)
Pooya Tavallali, Vahid Behzadan, Azar Alizadeh, Aditya Ranganath, Mukesh Singhal
Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor. ICIP (2022)
Azar Alizadeh, Pooya Tavallali, Vahid Behzadan, Aditya Ranganath, Mukesh Singhal
A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks. ICMLA (2022)
Boaz Ilan, Aditya Ranganath, Jacqueline Alvarez, Shilpa Khatri, Roummel F. Marcia
Interpretability of ReLU for Inversion. ICMLA (2022)
Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. ICMLA (2022)
Azar Alizadeh, Mukesh Singhal, Vahid Behzadan, Pooya Tavallali, Aditya Ranganath
Stochastic Induction of Decision Trees with Application to Learning Haar Trees. ICMLA (2022)
Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks. ACSCC (2021)
Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
Second-Order Trust-Region Optimization for Data-Limited Inference. EUSIPCO (2021)