Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. - Debapriya Maji; Anirban Santara; Sambuddha Ghosh; Debdoot Sheet; Pabitra Mitra (EMBC, 2015)

WEPSAM: Weakly Pre-Learnt Saliency Model. - Avisek Lahiri; Sourya Roy; Anirban Santara; Pabitra Mitra; Prabir Kumar Biswas (CoRR, 2016)

Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. - Debapriya Maji; Anirban Santara; Pabitra Mitra; Debdoot Sheet (CoRR, 2016)

Visualization Regularizers for Neural Network based Image Recognition. - Biswajit Paria; Anirban Santara; Pabitra Mitra (CoRR, 2016)

Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training. - Anirban Santara; Debapriya Maji; D. P. Tejas; Pabitra Mitra; Arobinda Gupta (CoRR, 2016)

BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. - Anirban Santara; Kaustubh Mani; Pranoot Hatwar; Ankit Singh; Ankur Garg; Kirti Padia; Pabitra Mitra (IEEE Trans. Geosci. Remote. Sens., 2017)

RAIL: Risk-Averse Imitation Learning. - Anirban Santara; Abhishek Naik; Balaraman Ravindran; Dipankar Das 002; Dheevatsa Mudigere; Sasikanth Avancha; Bharat Kaul (AAMAS, 2018)

PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. - Anirban Santara; Jayeeta Datta; Sourav Sarkar; Ankur Garg; Kirti Padia; Pabitra Mitra (CoRR, 2019)

ExTra: Transfer-guided Exploration. - Anirban Santara; Rishabh Madan; Pabitra Mitra; Balaraman Ravindran (AAMAS, 2020)

Unlocking Pixels for Reinforcement Learning via Implicit Attention. - Krzysztof Choromanski; Deepali Jain; Jack Parker-Holder; Xingyou Song; Valerii Likhosherstov; Anirban Santara; Aldo Pacchiano; Yunhao Tang; Adrian Weller (CoRR, 2021)

On Learning to Rank Long Sequences with Contextual Bandits. - Anirban Santara; Claudio Gentile; Gaurav Aggarwal; Shuai Li (CoRR, 2021)

MADRaS : Multi Agent Driving Simulator. - Anirban Santara; Sohan Rudra; Sree Aditya Buridi; Meha Kaushik; Abhishek Naik; Bharat Kaul; Balaraman Ravindran (J. Artif. Intell. Res., 2021)

Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback. - Anirban Santara; Gaurav Aggarwal; Shuai Li; Claudio Gentile (AISTATS, 2022)

A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. - Sohan Rudra; Saksham Goel; Anirban Santara; Claudio Gentile; Laurent Perron; Fei Xia; Vikas Sindhwani; Carolina Parada; Gaurav Aggarwal (ICRA, 2023)

GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. - Returaj Burnwal; Anirban Santara; Nirav P. Bhatt; Balaraman Ravindran; Gaurav Aggarwal (CoRR, 2023)