Himanshu Asnani

According to our database1, Himanshu Asnani authored at least 41 papers between 2009 and 2022.

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Bibliography

2022
Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications.
IEEE Trans. Inf. Theory, 2022

scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

2021
FlexAE: flexibly learning latent priors for wasserstein auto-encoders.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Rényi Divergence Based Bounds on Generalization Error.
Proceedings of the IEEE Information Theory Workshop, 2021

Independence Properties of Generalized Submodular Information Measures.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks.
IEEE J. Sel. Areas Inf. Theory, 2020

A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures.
CoRR, 2020

To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs.
CoRR, 2020

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.
CoRR, 2020

MaskAAE: Latent space optimization for Adversarial Auto-Encoders.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Joint Channel Coding and Modulation via Deep Learning.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Feedback Turbo Autoencoder.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Towards Latent Space Optimality for Auto-Encoder Based Generative Models.
CoRR, 2019

CCMI : Classifier based Conditional Mutual Information Estimation.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

DEEPTURBO: Deep Turbo Decoder.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

MIND: Model Independent Neural Decoder.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Sum-capacity of Compound MAC Models with Distributed CSI and Unknown Fading Statistics.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

ClusterGAN: Latent Space Clustering in Generative Adversarial Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Mimic and Classify : A meta-algorithm for Conditional Independence Testing.
CoRR, 2018

Estimators for Multivariate Information Measures in General Probability Spaces.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2015
Network Compression: Worst Case Analysis.
IEEE Trans. Inf. Theory, 2015

2014
Capacity of a POST Channel With and Without Feedback.
IEEE Trans. Inf. Theory, 2014

To Feed or Not to Feedback.
IEEE Trans. Inf. Theory, 2014

Information Embedding on Actions.
IEEE Trans. Inf. Theory, 2014

2013
Multiterminal Source Coding With Action-Dependent Side Information.
IEEE Trans. Inf. Theory, 2013

Real-Time Coding With Limited Lookahead.
IEEE Trans. Inf. Theory, 2013

Successive Refinement With Decoder Cooperation and Its Channel Coding Duals.
IEEE Trans. Inf. Theory, 2013

Multiple-Access Channel With Partial and Controlled Cribbing Encoders.
IEEE Trans. Inf. Theory, 2013

QualComp: a new lossy compressor for quality scores based on rate distortion theory.
BMC Bioinform., 2013

Operational extremality of Gaussianity in network compression, communication, and coding.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

2012
Lossy Compression of Quality Values via Rate Distortion Theory
CoRR, 2012

Worst-case source for distributed compression with quadratic distortion.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Successive refinement with cribbing decoders and its channel coding duals.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
Probing Capacity.
IEEE Trans. Inf. Theory, 2011

Multi-terminal source coding with action dependent side information.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

To feed or not to feed back.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
Learning to Optimally Exploit Multi-Channel Diversity in Wireless Systems.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

To observe or not to observe the channel state.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Scheduling with limited information in wireless systems.
Proceedings of the 10th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2009


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