Rohit Dwivedula

According to our database, Rohit Dwivedula authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Canopy: Property-Driven Learning for Congestion Control.

Chenxi Yang, Divyanshu Saxena, Rohit Dwivedula, Kshiteej Mahajan, Swarat Chaudhuri, Aditya Akella

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search.

Rohit Dwivedula, Divyanshu Saxena, Sujay Yadalam, Daehyeok Kim, Aditya Akella

CoRR, December, 2025

ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments.

Rohit Dwivedula, Sadanand Modak, Aditya Akella, Joydeep Biswas, Daehyeok Kim, Christopher J. Rossbach

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

How I learned to stop worrying and love learned OS policies.

Divyanshu Saxena, Jiayi Chen, Sujay Yadalam, Yeonju Ro, Rohit Dwivedula, Eric Hayden Campbell, Aditya Akella, Christopher J. Rossbach, Michael Swift

Proceedings of the 2025 Workshop on Hot Topics in Operating Systems, 2025

Man-Made Heuristics Are Dead. Long Live Code Generators!

Rohit Dwivedula, Divyanshu Saxena, Aditya Akella, Swarat Chaudhuri, Daehyeok Kim

Proceedings of the 24th ACM Workshop on Hot Topics in Networks, 2025

2024

C3: Learning Congestion Controllers with Formal Certificates.

Chenxi Yang, Divyanshu Saxena, Rohit Dwivedula, Kshiteej Mahajan, Swarat Chaudhuri, Aditya Akella

CoRR, 2024

TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews.

Rohit Dwivedula, Sriram Sridhar, Sambhav Satija, Muthian Sivathanu, Nishanth Chandran, Divya Gupta, Satya Lokam

CoRR, 2024

Accelerating Distributed Deep Learning using Lossless Homomorphic Compression.

Haoyu Li, Yuchen Xu, Jiayi Chen, Rohit Dwivedula, Wenfei Wu, Keqiang He, Aditya Akella, Daehyeok Kim

CoRR, 2024

2023

On a Foundation Model for Operating Systems.

Divyanshu Saxena, Nihal Sharma, Donghyun Kim, Rohit Dwivedula, Jiayi Chen, Chenxi Yang, Sriram Ravula, Zichao Hu, Aditya Akella, Sebastian Angel, Joydeep Biswas, Swarat Chaudhuri, Isil Dillig, Alex Dimakis, Philip Brighten Godfrey, Daehyeok Kim, Christopher J. Rossbach, Gang Wang

CoRR, 2023

2021

ABLE: Attention based learning for enzyme classification.

Mohan Vamsi Nallapareddy, Rohit Dwivedula

Comput. Biol. Chem., 2021

Attention-Based Bi-LSTM for Anomaly Detection on Time-Series Data.

Sanket Mishra, Varad Kshirsagar, Rohit Dwivedula, Chittaranjan Hota

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Robust Detection of Network Intrusion using Tree-based Convolutional Neural Networks.

Sanket Mishra, Rohit Dwivedula, Varad Kshirsagar, Chittaranjan Hota

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021