by Convergence Design Lab Admin | Sep 1, 2018 | Ayan Sinha, Karthik Ramani, Karthik Ramani, News
Download: Nature – Gauss’s Law for networks directly reveals community boundaries
by Convergence Design Lab Admin | Aug 22, 2018 | 2018, Ayan Sinha, Karthik Ramani, Karthik Ramani, Publications, Recent Publications
The study of network topology provides insight into the function and behavior of physical, social, and biological systems. A natural step towards discovering the organizing principles of these complex topologies is to identify a reduced network representation using...
by Convergence Design Lab Admin | Mar 24, 2017 | 2017, Asim Unmesh, Ayan Sinha, Karthik Ramani, Recent Publications
3D shape models are naturally parameterized using vertices and faces, i.e., composed of polygons forming a surface. However, current 3D learning paradigms for predictive and generative tasks using convolutional neural networks focus on a voxelized...
by Convergence Design Lab Admin | Dec 3, 2016 | 2016, Ayan Sinha, Karthik Ramani, Recent Publications
Collaborative filtering is a popular technique to infer users’ preferences on new content based on the collective information of all users preferences. Recommender systems then use this information to make personalized suggestions to users. When users accept...
by Convergence Design Lab Admin | Aug 19, 2016 | 2016, Ayan Sinha, Recent Publications, Shape Understanding, Spatial Analytics
Surfaces serve as a natural parametrization to 3D shapes. Learning surfaces using convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this challenge are to either adapt the convolutional filters to operate on surfaces, learn...
by Chiho Choi | Jun 22, 2016 | Ayan Sinha, Chiho Choi, Karthik Ramani, News
WEST LAFAYETTE, Ind. – Future systems that allow people to interact with virtual environments will require computers to interpret the human hand’s nearly endless variety and complexity of changing motions and joint angles. In virtual and augmented reality, the...
