Rana Ali Amjad

Kairen Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Invertible Low-Divergence Coding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

2021

A White Paper on Neural Network Quantization.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

A Generalized Framework For Kullback-Leibler Markov Aggregation.

[BibT_eX]

[DOI]

Clemens Blöchl

IEEE Trans. Autom. Control., 2020

Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Bayesian Bits: Unifying Quantization and Pruning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Up or Down? Adaptive Rounding for Post-Training Quantization.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Applications of Information Theory and Factor Graphs for Machine Learning.

[BibT_eX]

[DOI]

PhD thesis, 2019

Co-Clustering via Information-Theoretic Markov Aggregation.

[BibT_eX]

[DOI]

Clemens Blöchl

IEEE Trans. Knowl. Data Eng., 2019

Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Understanding Individual Neuron Importance Using Information Theory.

[BibT_eX]

[DOI]

Kairen Liu

CoRR, 2018

Clustering with Simultaneous Local and Global View of Data: A message passing based approach.

[BibT_eX]

[DOI]

Rayyan Ahmad Khan

Martin Kleinsteuber

CoRR, 2018

How (Not) To Train Your Neural Network Using the Information Bottleneck Principle.

[BibT_eX]

[DOI]

CoRR, 2018

A Mismatched Joint Source-Channel Coding Perspective of Probabilistic Amplitude Shaping: Achievable Rates and Error Exponents.

[BibT_eX]

[DOI]

CoRR, 2018

Information Rates and Error Exponents for Probabilistic Amplitude Shaping.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

2016

Hard Clusters Maximize Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Channel resolvability codes based on concatenation and sparse linear encoding.

[BibT_eX]

[DOI]

Gerhard Kramer

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

Informational divergence and entropy rate on rooted trees with probabilities.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Block-to-Block Distribution Matching

[BibT_eX]

[DOI]

CoRR, 2013

Average throughput maximization for energy harvesting transmitters with causal energy arrival information.

[BibT_eX]

[DOI]

Qing Bai

Josef A. Nossek

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Fixed-to-variable length resolution coding for target distributions.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Fixed-to-variable length distribution matching.

[BibT_eX]

[DOI]