Himanshu Asnani

Tata Institute of Fundamental Research — India

Engineering · Physical Sciences

14h-index782citations65works0.02yr avg
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Research Topics

Wireless Communication Security Techniques(28), Cooperative Communication and Network Coding(17), Error Correcting Code Techniques(13), DNA and Biological Computing(8), Wireless Signal Modulation Classification(8)

Publications65 total

Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications
IEEE Transactions on Information Theory·2021· 11 cited
Rényi Divergence Based Bounds on Generalization Error
2021· 5 cited
FlexAE: Flexibly Learning Latent Priors for Wasserstein Auto-Encoders
2021· 4 cited
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2021· 8 cited
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for\n Clustering Single-cell Gene Expression Data
arXiv (Cornell University)·2021Open Access
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
arXiv (Cornell University)·2021Open Access
Independence Properties of Generalized Submodular Information Measures
2021Open Access
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures
arXiv (Cornell University)·2020· 5 citedOpen Access
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Uncertainty in Artificial Intelligence·2020· 5 cited
Submodular Combinatorial Information Measures with Applications in Machine Learning
arXiv (Cornell University)·2020· 15 citedOpen Access
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs
arXiv (Cornell University)·2020· 1 citedOpen Access
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
arXiv (Cornell University)·2020· 2 citedOpen Access
Joint Channel Coding and Modulation via Deep Learning
2020· 20 cited
Feedback Turbo Autoencoder
2020· 11 cited
Towards Latent Space Optimality for Auto-Encoder Based Generative Models
arXiv (Cornell University)·2019Open Access
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
arXiv (Cornell University)·2019· 1 citedOpen Access
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
arXiv (Cornell University)·2019· 84 citedOpen Access
Turbo Autoencoder: Deep learning based channel codes for point-to-point\n communication channels
arXiv (Cornell University)·2019· 4 citedOpen Access
ClusterGAN: Latent Space Clustering in Generative Adversarial Networks
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 59 citedOpen Access
MIND: Model Independent Neural Decoder
2019· 46 cited
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Frequent Co-authors

Tsachy Weissman(19), Sreeram Kannan(15), Haim H. Permuter(12), Pramod Viswanath(9), Yihan Jiang(8), Hyeji Kim(8), Sewoong Oh(7), Sudipto Mukherjee(4), Ilan Shomorony(4), A. Salman Avestimehr(4), Arnab Kumar Mondal(4), Prathosh AP(4), Rishabh Iyer(3), Jeff Bilmes(3), Yeow-Khiang Chia(3), Arman Rahimzamani(3), Idoia Ochoa(2), Dinesh Bharadia(2), Mainak Chowdhury(2), Prasanna Chaporkar(2)