Saisubramaniam Gopalakrishnan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Relevant Knowledge

Evolutionary Optimization

Top Venues

Publications

Shreya Saxena, Siva Prasad, Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks. WSDM (2024)
Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina
Mitigating Factual Inconsistency and Hallucination in Large Language Models. WSDM (2024)
Siddartha Reddy, Sai Prakash MV, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. CoRR (2024)
Siddartha Reddy, Sai Prakash MV, V. Varun, Saisubramaniam Gopalakrishnan, Vishal Vaddina
Leveraging Latent Evolutionary Optimization for Targeted Molecule Generation. CEC (2024)
Mukkamala Venkata Sai Prakash, Ganesh Parab, Meghana Veeramalla, Siddartha Reddy, Varun V, Saisubramaniam Gopalakrishnan, Vishal Pagidipally, Vishal Vaddina
Accelerating Pharmacovigilance using Large Language Models. WSDM (2024)
Mukkamala Venkata Sai Prakash, Siddartha Reddy, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. BCB (2023)
Muneeswaran I, Shreya Saxena, Siva Prasad, Mukkamala Venkata Sai Prakash, Advaith Shankar, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
Minimizing Factual Inconsistency and Hallucination in Large Language Models. CoRR (2023)
Mukkamala Venkata Sai Prakash, Siddartha Reddy N, Ganesh Parab, Varun V, Vishal Vaddina, Saisubramaniam Gopalakrishnan
Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction. CoRR (2023)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
Classify and generate: Using classification latent space representations for image generations. Neurocomputing 471 (2022)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
Knowledge Capture and Replay for Continual Learning. WACV (2022)
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP (2021)
Tin Lay Nwe, Oo Zaw Min, Saisubramaniam Gopalakrishnan, Dongyun Lin, Shitala Prasad, Sheng Dong, Yiqun Li, Ramanpreet Singh Pahwa
Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps. ICIP (2020)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
Knowledge Capture and Replay for Continual Learning. CoRR (2020)
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Ivan Ho Mien, Arulmurugan Ambikapathi
Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement. ICIP (2020)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar, Arulmurugan Ambikapathi
Classification Representations Can be Reused for Downstream Generations. CoRR (2020)