Mahesh Subedar

1. Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical\n Bayes
   2019/06/12 by Ranganath Krishnan, Krishnan, Ranganath, Mahesh Subedar +3 · 6 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare #Neural and Evolutionary Computing (cs.NE)
2. BAR: Bayesian Activity Recognition using variational inference
   2018/11/08 by Ranganath Krishnan, Krishnan, Ranganath, Mahesh Subedar +3 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
3. Deep Probabilistic Models to Detect Data Poisoning Attacks
   2019/12/03 by Mahesh Subedar, Subedar, Mahesh, Nilesh Ahuja +7 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
   2025/09/12 by C. Hong, Hong, Charles, Qijing Huang +7 · 4 citations
   Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Nuclear reactor physics and engineering #Particle Detector Development and Performance #Radiation Detection and Scintillator Technologies