Aditya Ranganath

According to our database1, Aditya Ranganath authored at least 8 papers between 2021 and 2022.

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Bibliography

2022
Novel Adversarial Defense Techniques for White-Box Attacks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Interpretability of ReLU for Inversion.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Stochastic Induction of Decision Trees with Application to Learning Haar Trees.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Second-Order Trust-Region Optimization for Data-Limited Inference.
Proceedings of the 29th European Signal Processing Conference, 2021

Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021


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