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Anirban Santara
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Journal Articles
- 2021
- [j2]Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran:
MADRaS : Multi Agent Driving Simulator. J. Artif. Intell. Res. 70: 1517-1555 (2021) - 2017
- [j1]Anirban Santara
, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5293-5301 (2017)
Conference and Workshop Papers
- 2023
- [c5]Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal:
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. ICRA 2023: 5645-5652 - 2022
- [c4]Anirban Santara, Gaurav Aggarwal, Shuai Li, Claudio Gentile:
Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback. AISTATS 2022: 767-797 - 2020
- [c3]Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran:
ExTra: Transfer-guided Exploration. AAMAS 2020: 1987-1989 - 2018
- [c2]Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
RAIL: Risk-Averse Imitation Learning. AAMAS 2018: 2062-2063 - 2015
- [c1]Debapriya Maji, Anirban Santara, Sambuddha Ghosh, Debdoot Sheet, Pabitra Mitra:
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. EMBC 2015: 3029-3032
Informal and Other Publications
- 2023
- [i13]Returaj Burnwal, Anirban Santara, Nirav P. Bhatt, Balaraman Ravindran, Gaurav Aggarwal:
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. CoRR abs/2305.19111 (2023) - 2022
- [i12]Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal:
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. CoRR abs/2211.16309 (2022) - 2021
- [i11]Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller:
Unlocking Pixels for Reinforcement Learning via Implicit Attention. CoRR abs/2102.04353 (2021) - [i10]Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li:
On Learning to Rank Long Sequences with Contextual Bandits. CoRR abs/2106.03546 (2021) - 2020
- [i9]Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran:
MADRaS : Multi Agent Driving Simulator. CoRR abs/2010.00993 (2020) - 2019
- [i8]Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra:
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. CoRR abs/1904.04547 (2019) - [i7]Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra:
ExTra: Transfer-guided Exploration. CoRR abs/1906.11785 (2019) - 2017
- [i6]Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul:
RAIL: Risk-Averse Imitation Learning. CoRR abs/1707.06658 (2017) - 2016
- [i5]Anirban Santara, Debapriya Maji, D. P. Tejas, Pabitra Mitra, Arobinda Gupta:
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training. CoRR abs/1603.02836 (2016) - [i4]Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet:
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. CoRR abs/1603.04833 (2016) - [i3]Biswajit Paria, Anirban Santara, Pabitra Mitra:
Visualization Regularizers for Neural Network based Image Recognition. CoRR abs/1604.02646 (2016) - [i2]Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas:
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR abs/1605.01101 (2016) - [i1]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. CoRR abs/1612.00144 (2016)
Coauthor Index
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