Efficient Discovery of Large Synchronous Events in Neural Spike Streams - Raajay Viswanathan; P. S. Sastry 001; K. P. Unnikrishnan (CoRR, 2010)

A Learning Framework for Self-Tuning Histograms - Raajay Viswanathan; Prateek Jain 002; Srivatsan Laxman; Arvind Arasu (CoRR, 2011)

Multilabel Classification using Bayesian Compressed Sensing. - Ashish Kapoor; Raajay Viswanathan; Prateek Jain 002 (NIPS, 2012)

Discovering injective episodes with general partial orders. - Avinash Achar; Srivatsan Laxman; Raajay Viswanathan; P. S. Sastry 001 (Data Min. Knowl. Discov., 2012)

OpenNF: enabling innovation in network function control. - Aaron Gember-Jacobson; Raajay Viswanathan; Chaithan Prakash; Robert Grandl; Junaid Khalid; Sourav Das; Aditya Akella (SIGCOMM, 2014)

Efficiently Delivering Online Services over Integrated Infrastructure. - Hongqiang Harry Liu; Raajay Viswanathan; Matt Calder; Aditya Akella; Ratul Mahajan; Jitendra Padhye; Ming Zhang 005 (NSDI, 2016)

CLARINET: WAN-Aware Optimization for Analytics Queries. - Raajay Viswanathan; Ganesh Ananthanarayanan; Aditya Akella (OSDI, 2016)

Fast Control Plane Analysis Using an Abstract Representation. - Aaron Gember-Jacobson; Raajay Viswanathan; Aditya Akella; Ratul Mahajan (SIGCOMM, 2016)

Network-accelerated Distributed Machine Learning Using MLFabric. - Raajay Viswanathan; Aditya Akella (CoRR, 2019)

Network-accelerated distributed machine learning for multi-tenant settings. - Raajay Viswanathan; Arjun Balasubramanian; Aditya Akella (SoCC, 2020)

Whiz: Data-Driven Analytics Execution. - Robert Grandl; Arjun Singhvi; Raajay Viswanathan; Aditya Akella (NSDI, 2021)