De, Subhayan

1. On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
   2020/02/11 by Subhayan De, De, Subhayan, Jolene Britton +9 · 5 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design
2. Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
   2022/04/03 by De, Subhayan, Reynolds, Matthew, Hassanaly, Malik +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach
   2019/02/11 by Subhayan De, De, Subhayan, Jerrad Hampton +5 · 2 citations
   Computer Science · Decision Sciences · Engineering · #Advanced Multi-Objective Optimization Algorithms #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design #Topology Optimization in Engineering
4. Bi-fidelity Stochastic Gradient Descent for Structural Optimization under Uncertainty
   2019/11/23 by De, Subhayan, Maute, Kurt, Doostan, Alireza · 1 citation
   #FOS: Mathematics #Optimization and Control (math.OC)
5. Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks
   2020/08/11 by De, Subhayan · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML)
6. Reliability-based Topology Optimization using Stochastic Gradients
   2021/03/16 by De, Subhayan, Maute, Kurt, Doostan, Alireza · 1 citation
   #FOS: Mathematics #Optimization and Control (math.OC)