networks | Robert Bosch Center for Data Science and Artificial Intelligence

publications

Hypergraph Clustering by Iteratively Reweighted Modularity Maximization

Hypergraph Clustering by Iteratively Reweighted Modularity Maximization

Tarun Kumar , Sankaran Vaidyanathan , Harini Ananthapadmanabhan and more

Applied Network Science

HPRA: Hyperedge Prediction using Resource Allocation

HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar , K Darwin , Srinivasan Parthasarathy and more

In 12th ACM Conference on Web Science

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

Harish G. Ramaswamy , Saurabh Desai

The IEEE Winter Conference on Applications of Computer Vision

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Sanchari Sen , B Ravindran , Anand Raghunathan

International Conference on Learning Representations

Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks

Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks

Sravan Mylavarapu , Mahtab Sandhu , Priyesh Vijayan and more

In 2020 IEEE Intelligent Vehicles Symposium

Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.

Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.

Sai Nageswar Satchidanand , Harini Ananthapadmanaban , B Ravindran

IJCAI