Vijay Ramaseshan Chandrasekhar

21 papers A 3B 1C 1Misc 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	C	`conf`	Bayesian Deep Active Learning for Analog Circuit Performance Classification. ISCAS Lining Zhang, Salahuddin Raju, Ashish James, Rahul Dutta, Gregoire Fournier, Damien Lancry, Kevin Chai Tshun Chuan, Vijay Ramaseshan Chandrasekhar, Chuan Sheng Foo
2021	J	`jnl`	Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. IEEE Trans. Emerg. Top. Comput. 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
2019	J	`jnl`	CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. CoRR 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
2019	Misc	`conf`	EAST-DNN: Expediting architectural SimulaTions using deep neural networks: work-in-progress. CODES+ISSS Arko Dutt, Govind Narasimman, Lin Jie, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
2019	—	`conf`	FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. ITSC Ramanpreet Singh Pahwa, Vijay Ramaseshan Chandrasekhar, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng
2019	J	`jnl`	FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision. CoRR Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul, Yiqun Li, Ma Tin Lay Nwe, Shudong Xie, Ashish James, Arulmurugan Ambikapathi, Zeng Zeng, Vijay Ramaseshan Chandrasekhar
2019	—	`conf`	Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN). SoCC 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
2019	A	`conf`	Semi-Supervised Audio Classification with Consistency-Based Regularization. INTERSPEECH Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar
2019	A	`conf`	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. ISLPED Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly
2018	J	`jnl`	Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing. CoRR Juan Pablo Correa-Baena, Kedar Hippalgaonkar, Jeroen van Duren, Shaffiq Jaffer, Vijay Ramaseshan Chandrasekhar, Vladan Stevanovic, Cyrus Wadia, Supratik Guha, Tonio Buonassisi
2018	J	`jnl`	Adversarially Learned Anomaly Detection. CoRR Houssam Zenati, Manon Romain, Chuan Sheng Foo, Bruno Lecouat, Vijay Ramaseshan Chandrasekhar
2018	J	`jnl`	Efficient GAN-Based Anomaly Detection. CoRR Houssam Zenati, Chuan Sheng Foo, Bruno Lecouat, Gaurav Manek, Vijay Ramaseshan Chandrasekhar
2018	J	`jnl`	Graph Convolutional Neural Networks for Polymers Property Prediction. CoRR Minggang Zeng, Jatin Nitin Kumar, Zeng Zeng, Ramasamy Savitha, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
2018	J	`jnl`	Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR Léo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
2018	—	`conf`	Semi-Supervised Learning With GANs: Revisiting Manifold Regularization. ICLR (Workshop) Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
2018	J	`jnl`	Semi-Supervised Learning with GANs: Revisiting Manifold Regularization. CoRR Bruno Lecouat, Chuan Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar
2018	J	`jnl`	TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. CoRR Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry
2018	J	`jnl`	The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. CoRR 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
2018	J	`jnl`	The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. IACR Cryptol. ePrint Arch. 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
2015	A	`conf`	ICDAR 2015 competition on Robust Reading. ICDAR Dimosthenis Karatzas, Lluis Gomez-Bigorda, Anguelos Nicolaou, Suman K. Ghosh, Andrew D. Bagdanov, Masakazu Iwamura, Jiri Matas, Lukás Neumann, Vijay Ramaseshan Chandrasekhar, Shijian Lu, Faisal Shafait, Seiichi Uchida, Ernest Valveny
2006	B	`conf`	Selective Iterative Multilateration for Hop Count-Based Localization in Wireless Sensor Networks. MDM Jeffrey H. S. Tay, Vijay Ramaseshan Chandrasekhar, Winston Khoon Guan Seah