Network Science | Robert Bosch Center for Data Science and Artificial Intelligence

people

Anish Abhijit Diwan

Anish Abhijit Diwan

Post Baccalaureate Fellow

Network Science, Deep Learning, Robotics

projects

Learning Mesh and Multiple Conserved Networks From Data

Nirav Bhatt , Shankar Narasimhan

Learning Mesh and Multiple Conserved Networks From Data

network science network construction data mining graph theory

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publications

Verification and Rectification of Error in Topology of Conserved Networks

Verification and Rectification of Error in Topology of Conserved Networks

Satya Jayadev P , Arsh Bawa , Nirav Bhatt

IFAC-PapersOnLine

Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress

Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress

Saket Gurukar , Priyesh Vijayan , srinivasan parthasarathy and more

Transactions on Machine Learning Research.

Effect of dormant spare capacity on the attack tolerance of complex networks

Effect of dormant spare capacity on the attack tolerance of complex networks

Sai Saranga Das M , Karthik Raman

Physica A: Statistical Mechanics and its Applications

Discovering adaptation-capable biological network structures using control-theoretic approaches

Discovering adaptation-capable biological network structures using control-theoretic approaches

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

PLOS Computational Biology

On Strong Structural Controllability of Temporal Networks

On Strong Structural Controllability of Temporal Networks

Manikya Valli Srighakollapu , Rachel Kalpana Kalaimani , Ramkrishna Pasumarthy

IEEE Control Systems Letters

Predicting unknown directed links of conserved networks from flow data

Predicting unknown directed links of conserved networks from flow data

Satya Jayadev Pappu , Ramkrishna Pasumarthy , Nirav Bhatt

Journal of Complex Networks

Metric Learning for comparison of HMMs using Graph Neural Networks

Metric Learning for comparison of HMMs using Graph Neural Networks

Rajan Kumar Soni , K Seshadri , B Ravindran

To appear in the Proceedings of the Thirteenth Asian Conference on Machine Learning (ACML 2021)

Event-Triggered Control Design for Systems With Exogenous Inputs: Application for Auto-Scaling of Cloud-Hosted Web Servers

Event-Triggered Control Design for Systems With Exogenous Inputs: Application for Auto-Scaling of Cloud-Hosted Web Servers

Durgesh Singh , Kshama Dwarakanath , Ramkrishna Pasumarthy

IEEE Transactions on Systems, Man, and Cybernetics: Systems

A Joint Training Framework for Open-World Knowledge Graph Embeddings

A Joint Training Framework for Open-World Knowledge Graph Embeddings

Karthik Venkat Ramanan , Beethika Tripathi , Mitesh M. Khapra and more

To appear in the proceedings of the Automated Knowledge Base Construction Conference (AKBC 2021)

Optimizing Driver Nodes for Structural Controllability of Temporal Networks

Optimizing Driver Nodes for Structural Controllability of Temporal Networks

Manikya Valli Srighakollapu , Rachel Kalpana Kalaimani , Ramkrishna Pasumarthy

IEEE Transactions on Control of Network Systems

A priori parameter identifiability in models with non-rational functions

A priori parameter identifiability in models with non-rational functions

Rishabh Jain , Sridharakumar Narasimhan , Nirav P. Bhatt

Automatica