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Saisubramaniam Gopalakrishnan
Saisubramaniam Gopalakrishnan
Research Scientist, Quantiphi
Verified email at quantiphi.com
Title
Cited by
Cited by
Year
Improving 3D Brain Tumor Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps
TL Nwe, OZ Min, S Gopalakrishnan, D Lin, S Prasad, S Dong, Y Li, ...
2020 IEEE International Conference on Image Processing (ICIP), 2671-2675, 2020
142020
Automated Attribute Measurements of Buried Package Features in 3D X-ray Images using Deep Learning
RS Pahwa, MTL Nwe, R Chang, OZ Min, W Jie, S Gopalakrishnan, ...
2021 IEEE 71st Electronic Components and Technology Conference (ECTC), 2196-2204, 2021
132021
Knowledge Capture and Replay for Continual Learning
S Gopalakrishnan, PR Singh, H Fayek, S Ramasamy, A Ambikapathi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
112022
Automated Void Detection in TSVs from 2D X-Ray Scans using Supervised Learning with 3D X-Ray Scans
RS Pahwa, S Gopalakrishnan, H Su, OE Ping, H Dai, DHS Wee, R Qin, ...
2021 IEEE 71st Electronic Components and Technology Conference (ECTC), 842-849, 2021
72021
Classify and generate: Using classification latent space representations for image generations
S Gopalakrishnan, PR Singh, Y Yazici, CS Foo, V Chandrasekhar, ...
Neurocomputing 471, 296-334, 2022
32022
Task-Agnostic Continual Learning Using Base-Child Classifiers
PR Singh, S Gopalakrishnan, Q ZhongZheng, PN Suganthan, ...
2021 IEEE International Conference on Image Processing (ICIP), 794-798, 2021
32021
Minimizing Factual Inconsistency and Hallucination in Large Language Models
I Muneeswaran, S Saxena, S Prasad, MV Prakash, A Shankar, V Vaddina, ...
arXiv preprint arXiv:2311.13878, 2023
22023
Hybrid Deep Reinforced Regression Framework for Cardio-Thoracic Ratio Measurement
PR Singh, S Gopalakrishnan, IH Mien, AM Ambikapathi
2020 IEEE International Conference on Image Processing (ICIP), 433-437, 2020
12020
Classification Representations Can be Reused for Downstream Generations
S Gopalakrishnan, PR Singh, Y Yazici, CS Foo, V Chandrasekhar, ...
arXiv: 2004.07543 [cs, stat], 2020
12020
METHOD AND SYSTEM FOR PERSONALIZED MULTIMODAL RESPONSE GENERATION THROUGH VIRTUAL AGENTS
D Birru, S Gopalakrishnan, SP Sompalli, V Varun, V Vaddina
US Patent App. 18/527,077, 2024
2024
Accelerating Pharmacovigilance using Large Language Models
MV Sai Prakash, G Parab, M Veeramalla, S Reddy, V V, ...
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
2024
Automated Tailoring of Large Language Models for Industry-Specific Downstream Tasks
S Saxena, S Prasad, M I, A Shankar, V V, S Gopalakrishnan, V Vaddina
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
2024
Method and system for predicting molecular properties
D Birru, MVS Prakash, S Gopalakrishnan, NS Reddy, GL Parab, ...
US Patent App. 18/237,516, 2023
2023
Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction
MV Sai Prakash, N Siddartha Reddy, G Parab, V Varun, V Vaddina, ...
bioRxiv, 2023.08. 28.555089, 2023
2023
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