Senthilnath Jayavelu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Multispectral Satellite Images

Reinforcement Learning

Formation Control

Top Venues

Publications

Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu
Interpretable Policy Extraction with Neuro-Symbolic Reinforcement Learning. ICASSP (2024)
Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR (2024)
Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
U-TELL: Unsupervised Task Expert Lifelong Learning. CoRR (2024)
Haoge Jiang, Niraj Bhujel, Zhuoyi Lin, Kong-Wah Wan, Jun Li, Senthilnath Jayavelu, Xudong Jiang
Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation. IEEE Trans. Intell. Transp. Syst. 25 (6) (2024)
Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning. CoRR (2023)
Indu Solomon, Uttam Kumar, Senthilnath Jayavelu
Data Generation with Structure Enforcing Adversarial Learning. ICIP (2023)
Rajdeep Dutta, Harikumar Kandath, Senthilnath Jayavelu, Xiao-Li Li, Suresh Sundaram, Daniel J. Pack
A decentralized learning strategy to restore connectivity during multi-agent formation control. Neurocomputing 520 (2023)
Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu
PASE: An autonomous sequential framework for the state estimation of dynamical systems. Expert Syst. Appl. 215 (2023)
Ankur Singh, Senthilnath Jayavelu
Robust Representation Learning with Self-Distillation for Domain Generalization. CoRR (2023)
Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP (2022)
Yahui Guo, Xuan Zhang, Shouzhi Chen, Hanxi Wang, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu
Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches. Remote. Sens. 14 (24) (2022)
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR (2022)
Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR (2022)
Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing 481 (2022)
Yahui Guo, Shouzhi Chen, Xinxi Li, Mario Cunha, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images. Remote. Sens. 14 (6) (2022)
Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar
Data Oversampling with Structure Preserving Variational Learning. CIKM (2022)
Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
Does Adversarial Oversampling Help us? CIKM (2021)
Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
Does Adversarial Oversampling Help us? CoRR (2021)
Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR (2021)
Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi
Inverse design of crystals using generalized invertible crystallographic representation. CoRR (2020)
Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram
Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting. IEEE Trans Autom. Sci. Eng. 16 (2) (2019)
Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram
Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning. SSCI (2018)
Akanksha Dokania, Neelanshi Varia, Senthilnath Jayavelu
EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images. SSCI (2018)
Neelanshi Varia, Akanksha Dokania, Senthilnath Jayavelu
DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV. SSCI (2018)
Sushant Kulkarni, Senthilnath Jayavelu, Jón Atli Benediktsson
Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms. SSCI (2018)
Senthilnath Jayavelu, Harikumar Kandath, Suresh Sundaram
Dynamic Area Coverage for Multi-UAV Using Distributed UGVs: A Two-Stage Density Estimation Approach. IRC (2018)