8 citations · 21 across the 8 of their papers we have counts for
5 papers
Revisiting Heterophily in Graph Convolution Networks by Learning Representations Across Topological and Feature Spaces
Ashish Tiwari, Sresth Tosniwal, Shanmuganathan Raman
Graph convolution networks (GCNs) have been enormously successful in learning representations over several graph-based machine learning tasks. Specific to learning rich node repres…
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images
Ashish Tiwari, Shanmuganathan Raman
Photometric stereo, a problem of recovering 3D surface normals using images of an object captured under different lightings, has been of great interest and importance in computer v…
Overwatch: Learning Patterns in Code Edit Sequences
Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta +8
Integrated Development Environments (IDEs) provide tool support to automate many source code editing tasks. Traditionally, IDEs use only the spatial context, i.e., the location whe…
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi, Harshit Joshi, José Pablo Cambronero Sánchez +5
Most users of low-code platforms, such as Excel and PowerApps, write programs in domain-specific formula languages to carry out nontrivial tasks. Often users can write most of the…
Synthesis of a simple self-stabilizing system
Adrià Gascón, Ashish Tiwari
With the increasing importance of distributed systems as a computing paradigm, a systematic approach to their design is needed. Although the area of formal verification has made en…