L. Theis

Most-cited papers

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig, L. Theis, F. Huszár, J. Caballero +7 more
2016Computer Vision and Pattern Recognition13K citations
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A note on the evaluation of generative models
L. Theis, A. van den Oord, M. Bethge
2015International Conference on Learning Representations1,251 citations
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Lossy Image Compression with Compressive Autoencoders
L. Theis, Wenzhe Shi, A. Cunningham, F. Huszár
2017International Conference on Learning Representations1,181 citations
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HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
Thu Nguyen-Phuoc, Chuan Li, L. Theis, Christian Richardt +1 more
20192019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)561 citations Open access
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Fast Face-Swap Using Convolutional Neural Networks
I. Korshunova, Wenzhe Shi, J. Dambre, L. Theis
2016IEEE International Conference on Computer Vision459 citations
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Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Matthias Kümmerer, L. Theis, M. Bethge
2014International Conference on Learning Representations453 citations
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Amortised MAP Inference for Image Super-resolution
C. Sønderby, J. Caballero, L. Theis, Wenzhe Shi +1 more
2016International Conference on Learning Representations450 citations
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Faster gaze prediction with dense networks and Fisher pruning
L. Theis, I. Korshunova, A. Tejani, F. Huszár
2018arXiv.org237 citations
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Generative Image Modeling Using Spatial LSTMs
L. Theis, M. Bethge
2015Neural Information Processing Systems210 citations
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Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize
A. Aitken, C. Ledig, L. Theis, J. Caballero +2 more
2017arXiv.org198 citations
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An Introduction to Neural Data Compression
Yibo Yang, Stephan Mandt, L. Theis
2022Foundations and Trends in Computer Graphics and Vision167 citations Open access
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Is the deconvolution layer the same as a convolutional layer?
Wenzhe Shi, J. Caballero, L. Theis, F. Huszár +3 more
2016arXiv.org150 citations
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Lossy Compression with Gaussian Diffusion
L. Theis, T. Salimans, M. Hoffman, Fabian Mentzer
2022arXiv.org130 citations Open access
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Universally Quantized Neural Compression
E. Agustsson, L. Theis
2020Neural Information Processing Systems120 citations
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Community-based benchmarking improves spike rate inference from two-photon calcium imaging data
Philipp Berens, J. Freeman, T. Deneux, Nikolay Chenkov +25 more
2018PLoS Comput. Biol.87 citations Open access
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A coding theorem for the rate-distortion-perception function
L. Theis, Aaron B. Wagner
2021arXiv.org83 citations
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HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
Thu Nguyen-Phuoc, Chuan Li, L. Theis, Christian Richardt +1 more
2019IEEE International Conference on Computer Vision82 citations Open access
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Community-based benchmarking improves spike inference from two-photon calcium imaging data
Philipp Berens, J. Freeman, Thomas Deneux, Nicolay Chenkov +24 more
2017bioRxiv78 citations Open access
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Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents
A. M. Chagas, L. Theis, B. Sengupta, M. C. Stüttgen +2 more
2013Front. Neural Circuits77 citations Open access
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High-Fidelity Image Compression with Score-based Generative Models
E. Hoogeboom, E. Agustsson, Fabian Mentzer, Luca Versari +2 more
2023arXiv.org75 citations Open access
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Addressing delayed feedback for continuous training with neural networks in CTR prediction
S. Ktena, A. Tejani, L. Theis, Pranay K. Myana +4 more
2019ACM Conference on Recommender Systems70 citations Open access
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Algorithms for the Communication of Samples
L. Theis, N. Yosri
2021International Conference on Machine Learning62 citations
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On the advantages of stochastic encoders
L. Theis, E. Agustsson
2021arXiv.org56 citations
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Optimal Compression of Locally Differentially Private Mechanisms
Abhin Shah, Wei-Ning Chen, Johannes Ballé, Peter Kairouz +1 more
2021International Conference on Artificial Intelligence and Statistics56 citations
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Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification
L. Theis, A. M. Chagas, D. Arnstein, C. Schwarz +1 more
2012PLoS Comput. Biol.54 citations Open access
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A trust-region method for stochastic variational inference with applications to streaming data
L. Theis, M. Hoffman
2015International Conference on Machine Learning47 citations
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In All Likelihood, Deep Belief Is Not Enough
L. Theis, S. Gerwinn, Fabian H Sinz, M. Bethge
2010Journal of machine learning research39 citations
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Adaptive Greedy Rejection Sampling
Gergely Flamich, L. Theis
2023International Symposium on Information Theory24 citations Open access
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Discriminative Topic Modeling with Logistic LDA
I. Korshunova, Hanchen Xiong, Mateusz Fedoryszak, L. Theis
2019Neural Information Processing Systems20 citations
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Supervised learning sets benchmark for robust spike detection from calcium imaging signals
L. Theis, Philipp Berens, E. Froudarakis, J. Reimer +5 more
201513 citations
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Standardizing and benchmarking data analysis for calcium imaging
Philipp Berens, L. Theis, Jasmine T. Stone, N. Sofroniew +3 more
201711 citations
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Modeling Natural Image Statistics
H. E. Gerhard, L. Theis, M. Bethge
20159 citations
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Training sparse natural image models with a fast Gibbs sampler of an extended state space
L. Theis, Jascha Narain Sohl-Dickstein, M. Bethge
2012Neural Information Processing Systems9 citations
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Inference and mixture modeling with the Elliptical Gamma Distribution
Reshad Hosseini, Suvrit Sra, L. Theis, M. Bethge
2014Computational Statistics & Data Analysis7 citations Open access
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Data modeling with the elliptical gamma distribution
Suvrit Sra, Reshad Hosseini, L. Theis, M. Bethge
2015International Conference on Artificial Intelligence and Statistics6 citations
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Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals
L. Theis, Philipp Berens, E. Froudarakis, J. Reimer +5 more
2015bioRxiv5 citations Open access
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Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices
Katherine R. Storrs, S. Van Leuven, S. Kojder, L. Theis +1 more
2018Picture Coding Symposium3 citations Open access
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A Generative Model of Natural Texture Surrogates
Niklas Lüdtke, Debapriya Das, L. Theis, M. Bethge
2015arXiv.org1 citations
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Peer Review #3 of "A comprehensive review of deep learning-based single image super-resolution (v0.1)"
Syed Muhammad, A. Bashir, Yi Wang, Mahrukh A. Khan +496 more
20210 citations Open access
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Structure-Preserving Super Resolution with Gradient Guidance
C. Ledig, L. Theis, F. Huszár, J. Caballero +16 more
20200 citations
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OOSTING SALIENCY PREDICTION WITH FEATURE MAPS TRAINED ON I MAGE N ET
Matthias Kümmerer, L. Theis, M. Bethge
20180 citations
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NeuroResource Benchmarking Spike Rate Inference in Population Calcium Imaging Highlights
L. Theis, Philipp Berens, E. Froudarakis, J. Reimer +5 more
20160 citations
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Advances in probabilistic modeling of natural images
L. Theis
20150 citations
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A generative model of natural images as patchworks of textures
M. Bethge, N. Luedtke, Debapriya Das, L. Theis
20130 citations
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Neural Adaptation as Bayesian Inference
Tara Farzami, L. Theis, M. Bethge
20130 citations
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Mixtures of conditional Gaussian scale mixtures: the best model for natural images
L. Theis, Reshad Hosseini, M. Bethge
20120 citations Open access
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A multiscale model of natural images
L. Theis, Reshad Hosseini, M. Bethge
20110 citations
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LNP Analysis of Primary Whisker Afferents
D. Arnstein, L. Theis, Bethge M. Chagas Am, C. Schwarz
20110 citations
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Likelihood Estimation in Deep Belief Networks
L. Theis, S. Gerwinn, Fabian H Sinz, M. Bethge
20100 citations Open access
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Evaluation
L. Theis, A. van den Oord, M. Bethge, P. ynxn +5 more
2001Legal and Organizational Practices in Nonprofit Management0 citations
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