Arulmurugan Ambikapathi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Hebbian Learning

Predictive Coding

Top Venues

Publications

Duo Peng, Qiuhong Ke, Arulmurugan Ambikapathi, Yasin Yazici, Yinjie Lei, Jun Liu
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion. IEEE Trans. Image Process. 33 (2024)
Pradeep Chennakesavula, Jen-Ming Wu, Arulmurugan Ambikapathi
Incentive-Driven Fog-Edge Computation Offloading and Resource Allocation for 5G-NR V2X-Based Vehicular Networks. VTC2023-Spring (2023)
Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. CoRR (2022)
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)
Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP (2022)
Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy
Online Continual Learning Using Enhanced Random Vector Functional Link Networks. ICASSP (2022)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
Knowledge Capture and Replay for Continual Learning. WACV (2022)
Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy
HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. ICASSP (2021)
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP (2021)
Soumik Mondal, Yeo Sze Ling, Arulmurugan Ambikapathi
H-Stegonet: A Hybrid Deep Learning Framework for Robust Steganalysis. ICME (2021)
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)
Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. Appl. Soft Comput. 92 (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)
Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. ITSC (2019)
Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. CoRR (2019)