Vijay Ramaseshan Chandrasekhar

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 19

Top Topics

Machine Learning

Unsupervised Learning

Manifold Regularization

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Lining Zhang, Salahuddin Raju, Ashish James, Rahul Dutta, Gregoire Fournier, Damien Lancry, Kevin Chai Tshun Chuan, Vijay Ramaseshan Chandrasekhar, Chuan Sheng Foo
Bayesian Deep Active Learning for Analog Circuit Performance Classification. ISCAS (2022)
Ahmad Al Badawi, Chao Jin, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan, Jie Lin, Chan Fook Mun, James M. Brown, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Ramaseshan Chandrasekhar, Pavitra Krishnaswamy, Khin Mi Mi Aung
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR (2019)
Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar
Semi-Supervised Audio Classification with Consistency-Based Regularization. INTERSPEECH (2019)
Arko Dutt, Govind Narasimman, Lin Jie, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress. CODES+ISSS (2019)
Rahul Dutta, Salahuddin Raju, Ashish James, Leo John Chemmanda, Yong-Joon Jeon, Balagopal Unnikrishnan, Chuan Sheng Foo, Zeng Zeng, Kevin Tshun Chuan Chai, Vijay Ramaseshan Chandrasekhar
Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). SoCC (2019)
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)
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED (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)
Leo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR (2018)
Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar
Adversarially Learned Anomaly Detection. CoRR (2018)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization. CoRR (2018)
Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. CoRR (2018)
Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar
Efficient GAN-Based Anomaly Detection. CoRR (2018)
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. IACR Cryptol. ePrint Arch. 2018 (2018)
Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR (2018)
Ahmad Al Badawi, Jin Chao, Jie Lin, Chan Fook Mun, Sim Jun Jie, Benjamin Hong Meng Tan, Xiao Nan, Khin Mi Mi Aung, Vijay Ramaseshan Chandrasekhar
The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. CoRR (2018)
Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. ICLR (Workshop) (2018)
Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
Graph Convolutional Neural Networks for Polymers Property Prediction. CoRR (2018)
Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman K. Ghosh, Andrew D. Bagdanov, Masakazu Iwamura, Jiri Matas, Lukas Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, Faisal Shafait, Seiichi Uchida, Ernest Valveny
ICDAR 2015 competition on Robust Reading. ICDAR (2015)
Jeffrey H. S. Tay, Vijay Ramaseshan Chandrasekhar, Winston Khoon Guan Seah
Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks. MDM (2006)