Anirban Santara

20 papers A* 1A 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. ICRA Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
2023	J	`jnl`	GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. CoRR Returaj Burnwal, Anirban Santara, Nirav Pravinbhai Bhatt, Balaraman Ravindran, Gaurav Aggarwal
2022	J	`jnl`	A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. CoRR Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
2022	A	`conf`	Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback. AISTATS Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile
2021	J	`jnl`	MADRaS : Multi Agent Driving Simulator. J. Artif. Intell. Res. Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
2021	J	`jnl`	On Learning to Rank Long Sequences with Contextual Bandits. CoRR Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li
2021	J	`jnl`	Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller
2020	A	`conf`	ExTra: Transfer-guided Exploration. AAMAS Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran
2020	J	`jnl`	MADRaS : Multi Agent Driving Simulator. CoRR Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
2019	J	`jnl`	ExTra: Transfer-guided Exploration. CoRR Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra
2019	J	`jnl`	PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. CoRR Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra
2018	A	`conf`	RAIL: Risk-Averse Imitation Learning. AAMAS Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2017	J	`jnl`	BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra
2017	J	`jnl`	RAIL: Risk-Averse Imitation Learning. CoRR Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2016	J	`jnl`	BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. CoRR Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra
2016	J	`jnl`	Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. CoRR Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet
2016	J	`jnl`	Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training. CoRR Anirban Santara, Debapriya Maji, D. P. Tejas, Pabitra Mitra, Arobinda Gupta
2016	J	`jnl`	Visualization Regularizers for Neural Network based Image Recognition. CoRR Biswajit Paria, Anirban Santara, Pabitra Mitra
2016	J	`jnl`	WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas
2015	—	`conf`	Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. EMBC Debapriya Maji, Anirban Santara, Sambuddha Ghosh, Debdoot Sheet, Pabitra Mitra