Robust Detection of Network Intrusion using Tree-based Convolutional Neural Networks. - Sanket Mishra; Rohit Dwivedula; Varad Kshirsagar; Chittaranjan Hota (COMAD/CODS, 2021)

Attention-Based Bi-LSTM for Anomaly Detection on Time-Series Data. - Sanket Mishra; Varad Kshirsagar; Rohit Dwivedula; Chittaranjan Hota (ICANN (1), 2021)

ABLE: Attention based learning for enzyme classification. - Mohan Vamsi Nallapareddy; Rohit Dwivedula (Comput. Biol. Chem., 2021)

On a Foundation Model for Operating Systems. - Divyanshu Saxena; Nihal Sharma; Donghyun Kim 002; Rohit Dwivedula; Jiayi Chen; Chenxi Yang; Sriram Ravula; Zichao Hu; Aditya Akella; Sebastian Angel; Joydeep Biswas; Swarat Chaudhuri; et al. (CoRR, 2023)

Accelerating Distributed Deep Learning using Lossless Homomorphic Compression. - Haoyu Li; Yuchen Xu 003; Jiayi Chen; Rohit Dwivedula; Wenfei Wu; Keqiang He; Aditya Akella; Daehyeok Kim (CoRR, 2024)

TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews. - Rohit Dwivedula; Sriram Sridhar 004; Sambhav Satija; Muthian Sivathanu; Nishanth Chandran; Divya Gupta 001; Satya Lokam (CoRR, 2024)

C3: Learning Congestion Controllers with Formal Certificates. - Chenxi Yang; Divyanshu Saxena; Rohit Dwivedula; Kshiteej Mahajan; Swarat Chaudhuri; Aditya Akella (CoRR, 2024)

How I learned to stop worrying and love learned OS policies. - Divyanshu Saxena; Jiayi Chen; Sujay Yadalam; Yeonju Ro; Rohit Dwivedula; Eric H. Campbell; Aditya Akella; Christopher J. Rossbach; Michael Swift (HotOS, 2025)

ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments. - Rohit Dwivedula; Sadanand Modak; Aditya Akella; Joydeep Biswas; Daehyeok Kim; Christopher J. Rossbach (CoRR, 2025)