Vikram Nitin

According to our database, Vikram Nitin authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques.

Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray

IEEE Trans. Software Eng., February, 2026

Code Quality Analysis of Translations from C to Rust.

Biruk Tadesse, Vikram Nitin, Mazin Salah, Baishakhi Ray, Marcelo d'Amorim, Wesley Assunção

CoRR, February, 2026

2025

FaultLine: Automated Proof-of-Vulnerability Generation Using LLM Agents.

Vikram Nitin, Baishakhi Ray, Roshanak Zilouchian Moghaddam

CoRR, July, 2025

2024

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language.

Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray

IEEE Trans. Software Eng., October, 2024

SpecTra: Enhancing the Code Translation Ability of Language Models by Generating Multi-Modal Specifications.

Vikram Nitin, Baishakhi Ray

CoRR, 2024

Using AI to Automate the Modernization of Legacy Software Applications.

Vikram Nitin

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2022

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.

Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2020

Composition-based Multi-Relational Graph Convolutional Networks.

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar

Proceedings of the 8th International Conference on Learning Representations, 2020

Multitask Learning Strengthens Adversarial Robustness.

Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick

Proceedings of the Computer Vision - ECCV 2020, 2020

NHP: Neural Hypergraph Link Prediction.

Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions.

Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs.

Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha P. Talukdar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019