Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps. - Tin Lay Nwe; Oo Zaw Min; Saisubramaniam Gopalakrishnan; Dongyun Lin; Shitala Prasad; Sheng Dong; Yiqun Li; Ramanpreet Singh Pahwa (ICIP, 2020)

Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Ivan Ho Mien; Arulmurugan Ambikapathi (ICIP, 2020)

Classification Representations Can be Reused for Downstream Generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (CoRR, 2020)

Task-Agnostic Continual Learning Using Base-Child Classifiers. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Qiao ZhongZheng; Ponnuthurai N. Suganthan; Savitha Ramasamy; Arulmurugan Ambikapathi (ICIP, 2021)

Knowledge Capture and Replay for Continual Learning. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Haytham M. Fayek; Savitha Ramasamy; Arulmurugan Ambikapathi (WACV, 2022)

Classify and generate: Using classification latent space representations for image generations. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Yasin Yazici; Chuan-Sheng Foo; Vijay Chandrasekhar 001; Arulmurugan Ambikapathi (Neurocomputing, 2022)

Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. - Mukkamala Venkata Sai Prakash; Siddartha Reddy; Ganesh Parab; Varun V; Vishal Vaddina; Saisubramaniam Gopalakrishnan (BCB, 2023)

Minimizing Factual Inconsistency and Hallucination in Large Language Models. - Muneeswaran I; Shreya Saxena; Siva Prasad; Mukkamala Venkata Sai Prakash; Advaith Shankar; Varun V; Vishal Vaddina; Saisubramaniam Gopalakrishnan (CoRR, 2023)

Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. - Siddartha Reddy; Sai Prakash MV; Varun V; Saisubramaniam Gopalakrishnan; Vishal Vaddina (CEC, 2024)

Mitigating Factual Inconsistency and Hallucination in Large Language Models. - Muneeswaran I; Advaith Shankar; Varun V; Saisubramaniam Gopalakrishnan; Vishal Vaddina (WSDM, 2024)

Accelerating Pharmacovigilance using Large Language Models. - Mukkamala Venkata Sai Prakash; Ganesh Parab; Meghana Veeramalla; Siddartha Reddy; Varun V; Saisubramaniam Gopalakrishnan; Vishal Pagidipally; Vishal Vaddina (WSDM, 2024)

Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks. - Shreya Saxena; Siva Prasad; Muneeswaran I; Advaith Shankar; Varun V; Saisubramaniam Gopalakrishnan; Vishal Vaddina (WSDM, 2024)

Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance. - Rishi Yash Parekh; Saisubramaniam Gopalakrishnan; Zishan Ahmad; Anirudh Deodhar (CoRR, 2025)