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publications

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Hypergraph partitioning using tensor eigenvalue decomposition

Deepak Maurya, Balaraman Ravindran,

To appear in the proceedings of the Public Library of Science (PLOS ONE)

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MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication

Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan,

PLOS Computational Biology

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Hypergraph Clustering by Iteratively Reweighted Modularity Maximization

Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, B Ravindran,

Applied Network Science

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HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar, K Darwin, Srinivasan Parthasarathy, B Ravindran,

In 12th ACM Conference on Web Science

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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

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

Sanchari Sen, B Ravindran, Anand Raghunathan,

International Conference on Learning Representations

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

Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K Madhava Krishna, B Ravindran, Anoop Namboodiri,

In 2020 IEEE Intelligent Vehicles Symposium

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

Sai Nageswar Satchidanand, Harini Ananthapadmanaban, B Ravindran,

IJCAI