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08/06/2021
Independence Properties of Generalized Submodular Information Measures
Recently a class of generalized information measures was defined on sets...
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07/16/2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Clustering single-cell RNA sequence (scRNA-seq) data poses statistical a...
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10/12/2020
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures
We study submodular information measures as a rich framework for generic...
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06/27/2020
Submodular Combinatorial Information Measures with Applications in Machine Learning
Information-theoretic quantities like entropy and mutual information hav...
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06/10/2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs
Regularized Auto-Encoders (AE) form a rich class of methods within the l...
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05/17/2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Estimation of information theoretic quantities such as mutual informatio...
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12/10/2019
Towards Latent Space Optimality for Auto-Encoder Based Generative Models
The field of neural generative models is dominated by the highly success...
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11/08/2019
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Designing codes that combat the noise in a communication medium has rema...
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06/05/2019
CCMI : Classifier based Conditional Mutual Information Estimation
Conditional Mutual Information (CMI) is a measure of conditional depende...
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03/06/2019
DeepTurbo: Deep Turbo Decoder
Present-day communication systems routinely use codes that approach the ...
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11/30/2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Designing channel codes under low latency constraints is one of the most...
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10/26/2018
Estimators for Multivariate Information Measures in General Probability Spaces
Information theoretic quantities play an important role in various setti...
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09/10/2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Generative Adversarial networks (GANs) have obtained remarkable success ...
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06/25/2018
