Lucas Theis
15 papers · 2011–2024 · 7 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (40) ๐ Academic Marathon ยท Half ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐
Keyword Champion
๐๏ธ
Keyword Collector
(79)
๐
Trend Setter
๐
Century Club ยท Bronze
โ
The Questioner
๐
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Computer Vision
(5)
Deep Learning
(5)
Core Methods
(5)
Mathematics & Optimization
(4)
Application Areas
(3)
Bayesian & Probabilistic
(3)
Generation
(3)
Learning Types
(3)
Models
(3)
Processing
(3)
Analysis
(2)
Architectures
(2)
Keywords
neural compression
(3)
image modeling
(2)
natural image modeling
(2)
random coding
(2)
expectation maximization
(2)
unsupervised learning
(2)
generative adversarial network
(2)
generative model
(2)
natural images
(2)
computational neuroscience
(1)
multimodal learning
(1)
topic modeling
(1)
embedding space
(1)
model fitting
(1)
probabilistic modeling
(1)
kl divergence
(1)
image super-resolution
(1)
sparse representation
(1)
sparse coding
(1)
texture synthesis
(1)
Papers
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video
CVPR 2024
Position: What makes an image realistic?
ICML 2024
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
ICLR 2024
Algorithms for the Communication of Samples
ICML 2022
Optimal Compression of Locally Differentially Private Mechanisms
AISTATS 2022
Universally Quantized Neural Compression
NeurIPS 2020
Discriminative Topic Modeling with Logistic LDA
NeurIPS 2019
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
ICCV 2019
Fast Face-Swap Using Convolutional Neural Networks
ICCV 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
CVPR 2017
A trust-region method for stochastic variational inference with applications to streaming data
ICML 2015
Data modeling with the elliptical gamma distribution
AISTATS 2015
Generative Image Modeling Using Spatial LSTMs
NeurIPS 2015
Training sparse natural image models with a fast Gibbs sampler of an extended state space
NeurIPS 2012
In All Likelihood, Deep Belief Is Not Enough
JMLR 2011