20 citations
- Indian Institute of Science BangaloreIN2 papers
- Arizona State UniversityUS1 paper
- Australian National UniversityAU1 paper
- Indian Institute of Technology MadrasIN1 paper
- Max Planck Institute for Intelligent SystemsDE1 paper
- Max Planck SocietyDE1 paper
- Technical University of DenmarkDK1 paper
- Universidad de GranadaES1 paper
- University of Maryland, College ParkUS1 paper
- University of ZurichCH1 paper
3 papers · 1 filter
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter
Solving large complex partial differential equations (PDEs), such as those that arise in computational fluid dynamics (CFD), is a computationally expensive process. This has motiva…
Successive Over Relaxation Q-Learning
Chandramouli Kamanchi, Raghuram Bharadwaj Diddigi, Shalabh Bhatnagar
In a discounted reward Markov Decision Process (MDP), the objective is to find the optimal value function, i.e., the value function corresponding to an optimal policy. This problem…
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra +1
Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations.The key idea is to rank the filt…