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ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data


Jul 16, 2021
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP

* IEEE/ACM Transactions on Computational Biology and Bioinformatics 

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Mini-batch graphs for robust image classification


Apr 22, 2021
Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi


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RespVAD: Voice Activity Detection via Video-Extracted Respiration Patterns


Aug 21, 2020
Arnab Kumar Mondal, Prathosh A. P

* Accepted in IEEE Sensor Letters 

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Group Equivariant Deep Reinforcement Learning


Jul 01, 2020
Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi

* Presented at the ICML 2020 Workshop on Inductive Biases, Invariances and Generalization in RL 

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To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs


Jun 10, 2020
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP


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C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation


May 17, 2020
Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Sreeram Kannan, Himanshu Asnani, Prathosh AP


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Towards Latent Space Optimality for Auto-Encoder Based Generative Models


Dec 10, 2019
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh AP

* A version of this paper has been submitted to the Conference on Computer Vision and Pattern Recognition 2020 

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Revisiting CycleGAN for semi-supervised segmentation


Aug 30, 2019
Arnab Kumar Mondal, Aniket Agarwal, Jose Dolz, Christian Desrosiers


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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning


Oct 29, 2018
Arnab Kumar Mondal, Jose Dolz, Christian Desrosiers

* submitted to Medical Image Analysis for review 

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