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Aditya Ranganath
Aditya Ranganath
University of California, Merced
Verified email at llnl.gov
Title
Cited by
Cited by
Year
Novel adversarial defense techniques for white-box attacks
J Van Tuinen, A Ranganath, G Konjevod, M Singhal, R Marcia
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
32022
Adversarial label-poisoning attacks and defense for general multi-class models based on synthetic reduced nearest neighbor
P Tavallali, V Behzadan, A Alizadeh, A Ranganath, M Singhal
2022 IEEE International Conference on Image Processing (ICIP), 3717-3722, 2022
32022
Recurrent nerual imaging: An evolutionary approach for mixed possion-gaussian image denoising
A Ranganath, O DeGuchy, F Santiago, M Singhal, R Marcia
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
22022
Multi-stage gaussian noise reduction with recurrent neural networks
A Ranganath, O DeGuchy, M Singhal, RF Marcia
2021 55th Asilomar Conference on Signals, Systems, and Computers, 135-139, 2021
12021
Second-order trust-region optimization for data-limited inference
A Ranganath, O DeGuchy, M Singhal, RF Marcia
2021 29th European Signal Processing Conference (EUSIPCO), 2059-2063, 2021
12021
Optimization for machine learning: Memory-efficient and tractible solutions to large-scale non-convex systems
A Ranganath
University of California, Merced, 2023
2023
A Novel Approach for Synthetic Reduced Nearest-Neighbor Leveraging Neural Networks
A Alizadeh, P Tavallali, V Behzadan, A Ranganath, M Singhal
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
2022
Interpretability of ReLU for Inversion
B Ilan, A Ranganath, J Alvarez, S Khatri, R Marcia
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
2022
Stochastic Induction of Decision Trees with Application to Learning Haar Trees
A Alizadeh, M Singhal, V Behzadan, P Tavallali, A Ranganath
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
2022
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