Publications with the keyword "compression"
G. Flamich and
L. Theis
Adaptive Greedy Rejection Sampling
IEEE International Symposium on Information Theory, 2023
#channel simulation #compression #information theory
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Adaptive Greedy Rejection Sampling
IEEE International Symposium on Information Theory, 2023
#channel simulation #compression #information theory
URL PDF RIS BibTex
Y. Yang,
S. Mandt, and
L. Theis
An Introduction to Neural Data Compression
Foundations and Trends in Computer Graphics and Vision, 15(2), 113-200, 2023
#compression
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An Introduction to Neural Data Compression
Foundations and Trends in Computer Graphics and Vision, 15(2), 113-200, 2023
#compression
URL PDF RIS BibTex
L. Theis,
T. Salimans,
M. D. Hoffman, and
F. Mentzer
Lossy Compression with Gaussian Diffusion
arXiv:2206.08889, 2022
#compression #diffusion #channel simulation
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Lossy Compression with Gaussian Diffusion
arXiv:2206.08889, 2022
#compression #diffusion #channel simulation
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A. Shah,
W.-N. Chen,
J. Balle,
P. Kairouz, and
L. Theis
Optimal Compression of Locally Differentially Private Mechanisms
Artificial Intelligence and Statistics, 2022
#differential privacy #compression #channel simulation
Code URL RIS BibTex
Optimal Compression of Locally Differentially Private Mechanisms
Artificial Intelligence and Statistics, 2022
#differential privacy #compression #channel simulation
Code URL RIS BibTex
L. Theis and
N. Yosri
Algorithms for the Communication of Samples
Proceedings of the 39th International Conference on Machine Learning, 2022
#compression #information theory #channel simulation
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Algorithms for the Communication of Samples
Proceedings of the 39th International Conference on Machine Learning, 2022
#compression #information theory #channel simulation
Code URL PDF RIS BibTex
L. Theis and
J. Ho
Importance weighted compression
Neural Compression Workshop at ICLR, 2021
#compression #deep learning #bits back
URL RIS BibTex
Importance weighted compression
Neural Compression Workshop at ICLR, 2021
#compression #deep learning #bits back
URL RIS BibTex
L. Theis and
A. B. Wagner
A coding theorem for the rate-distortion-perception function
Neural Compression Workshop at ICLR, 2021
#compression #information theory
URL RIS BibTex
A coding theorem for the rate-distortion-perception function
Neural Compression Workshop at ICLR, 2021
#compression #information theory
URL RIS BibTex
L. Theis and
E. Agustsson
On the advantages of stochastic encoders
Neural Compression Workshop at ICLR, 2021
#compression #information theory
URL RIS BibTex
On the advantages of stochastic encoders
Neural Compression Workshop at ICLR, 2021
#compression #information theory
URL RIS BibTex
E. Agustsson and
L. Theis
Universally Quantized Neural Compression
Advances in Neural Information Processing Systems 33, 2020
#compression #deep learning #channel simulation
URL PDF Appendix RIS BibTex
Universally Quantized Neural Compression
Advances in Neural Information Processing Systems 33, 2020
#compression #deep learning #channel simulation
URL PDF Appendix RIS BibTex
K. Storrs,
S. V. Leuven,
S. Kojder,
L. Theis, and
F. Huszár
Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices
Picture Coding Symposium, 2018
#compression #perceptual quality #psychophysics
URL Blog RIS BibTex
Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices
Picture Coding Symposium, 2018
#compression #perceptual quality #psychophysics
URL Blog RIS BibTex
L. Theis,
W. Shi,
A. Cunningham, and
F. Huszár
Lossy Image Compression with Compressive Autoencoders
International Conference on Learning Representations, 2017
#compression #deep learning
URL PDF Poster Files RIS BibTex
Lossy Image Compression with Compressive Autoencoders
International Conference on Learning Representations, 2017
#compression #deep learning
URL PDF Poster Files RIS BibTex