Anirban Santara

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 19

Top Topics

Variable Length

Imitation Learning

Hybrid Architecture

Top Venues

Publications

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 (2023)
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)
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 (2022)
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)
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 (2021)
Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li
On Learning to Rank Long Sequences with Contextual Bandits. CoRR (2021)
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 (2021)
Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran
ExTra: Transfer-guided Exploration. AAMAS (2020)
Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
MADRaS : Multi Agent Driving Simulator. CoRR (2020)
Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. CoRR (2019)
Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra
ExTra: Transfer-guided Exploration. CoRR (2019)
Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
RAIL: Risk-Averse Imitation Learning. AAMAS (2018)
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) (2017)
Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
RAIL: Risk-Averse Imitation Learning. CoRR (2017)
Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR (2016)
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 (2016)
Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. CoRR (2016)
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 (2016)
Biswajit Paria, Anirban Santara, Pabitra Mitra
Visualization Regularizers for Neural Network based Image Recognition. CoRR (2016)
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)