Vijay Lingam

According to our database, Vijay Lingam authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

SCATR: Simple Calibrated Test-Time Ranking.

Divya Shyamal, Marta Knezevic, Lan Tran, Chanakya Ekbote, Vijay Lingam, Paul Pu Liang

CoRR, April, 2026

ExecTune: Effective Steering of Black-Box LLMs with Guide Models.

Vijay Lingam, Aditya Golatkar, Anwesan Pal, Ben Vo, Narayanan Sadagopan, Alessandro Achille, Jun Huan, Anoop Deoras, Stefano Soatto

CoRR, April, 2026

2025

MURPHY: Multi-Turn GRPO for Self Correcting Code Generation.

Chanakya Ekbote, Vijay Lingam, Behrooz Omidvar-Tehrani, Jun Huan, Sujay Sanghavi, Anoop Deoras, Stefano Soatto

CoRR, November, 2025

Enhancing Language Model Agents using Diversity of Thoughts.

Vijay Lingam, Behrooz Omidvar-Tehrani, Sujay Sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.

Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi

CoRR, 2024

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.

Vijay Lingam, Atula Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Label Poisoning for GNNs: Pitfalls and Attacks.

Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Probing Graph Representations.

Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Piece-Wise Polynomial Filtering Approach for Graph Neural Networks.

Vijay Lingam, Manan Sharma, Chanakya Ekbote, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks.

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

CoRR, 2021

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs.

Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam

CoRR, 2021

GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks.

Vijay Lingam, Arun Iyer, Rahul Ragesh

CoRR, 2021

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation.

Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer, Ramakrishna Bairi

CoRR, 2021

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification.

Rahul Ragesh, Sundararajan Sellamanickam, Arun Iyer, Ramakrishna Bairi, Vijay Lingam

Proceedings of the WSDM '21, 2021

2020

A Graph Convolutional Network Composition Framework for Semi-supervised Classification.

Rahul Ragesh, Sundararajan Sellamanickam, Vijay Lingam, Arun Iyer

CoRR, 2020

2019

ALT: towards automating driver license testing using smartphones.

Akshay Uttama Nambi, Ishit Mehta, Anurag Ghosh, Vijay Lingam, Venkata N. Padmanabhan

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Smartphone-based driver license testing: demo abstract.

Anurag Ghosh, Vijay Lingam, Ishit Mehta, Akshay Uttama Nambi, Venkata N. Padmanabhan, Satish Sangameswaran

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

2018

Deep learning for conflicting statements detection in text.

Vijay Lingam, Simran Bhuria, Mayukh Nair, Divij Gurpreetsingh, Anjali Goyal, Ashish Sureka

PeerJ Prepr., 2018