Saisubramaniam Gopalakrishnan

21 papers A* 1A 4B 4Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget. CoRR Saisubramaniam Gopalakrishnan, Harikrishnan P. M., Dagnachew Birru
2026	J	`jnl`	Surrogate-Guided Quantum Discovery in Black-Box Landscapes with Latent-Quadratic Interaction Embedding Transformers. CoRR Saisubramaniam Gopalakrishnan, Dagnachew Birru
2025	A*	`conf`	IDPFlow: A No-Code Agentic Framework for Multimodal Intelligent Document Processing. ACM Multimedia Goutham Vignesh, Harikrishnan P. M., Siddartha Reddy, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2025	J	`jnl`	Intelligent Human-Machine Partnership for Manufacturing: Enhancing Warehouse Planning through Simulation-Driven Knowledge Graphs and LLM Collaboration. CoRR Himabindu Thogaru, Saisubramaniam Gopalakrishnan, Zishan Ahmad, Anirudh Deodhar
2025	J	`jnl`	Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance. CoRR Rishi Yash Parekh, Saisubramaniam Gopalakrishnan, Zishan Ahmad, Anirudh Deodhar
2025	J	`jnl`	Thinking in Many Modes: How Composite Reasoning Elevates Large Language Model Performance with Limited Data. CoRR Zishan Ahmad, Saisubramaniam Gopalakrishnan
2024	A	`conf`	Accelerating Pharmacovigilance using Large Language Models. WSDM Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina
2024	A	`conf`	Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks. WSDM Shreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024	B	`conf`	Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. CEC Siddartha Reddy, Sai Prakash MV, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2024	J	`jnl`	Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. CoRR Siddartha Reddy, Sai Prakash MV, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2024	A	`conf`	Mitigating Factual Inconsistency and Hallucination in Large Language Models. WSDM Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
2023	J	`jnl`	Minimizing Factual Inconsistency and Hallucination in Large Language Models. CoRR Muneeswaran I, Shreya Saxena, Siva Prasad, Mukkamala Venkata Sai Prakash, Advaith Shankar, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2023	—	`conf`	Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. BCB Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2023	J	`jnl`	Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. CoRR Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
2022	J	`jnl`	Classify and generate: Using classification latent space representations for image generations. Neurocomputing Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2022	A	`conf`	Knowledge Capture and Replay for Continual Learning. WACV Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2021	B	`conf`	Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
2020	J	`jnl`	Classification Representations Can be Reused for Downstream Generations. CoRR Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
2020	B	`conf`	Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement. ICIP Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Ivan Ho Mien, Arulmurugan Ambikapathi
2020	B	`conf`	Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps. ICIP Tin Lay Nwe, Oo Zaw Min, Saisubramaniam Gopalakrishnan, Dongyun Lin, Shitala Prasad, Sheng Dong, Yiqun Li, Ramanpreet Singh Pahwa
2020	J	`jnl`	Knowledge Capture and Replay for Continual Learning. CoRR Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi