mlsanityData to 7 Oct 2026

Deep AutoRegressive Networks

arXiv 1310.8499 ↗First posted 31 Oct 2013cs.LG stat.MLcited by 60

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Abstract (arXiv)

We introduce a deep, generative autoencoder capable of learning hierarchies of distributed representations from data. Successive deep stochastic hidden layers are equipped with autoregressive connections, which enable the model to be sampled from quickly and exactly via ancestral sampling. We derive an efficient approximate parameter estimation method based on the minimum description length (MDL) principle, which can be seen as maximising a variational lower bound on the log-likelihood, with a feedforward neural network implementing approximate inference. We demonstrate state-of-the-art generative performance on a number of classic data sets: several UCI data sets, MNIST and Atari 2600 games.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Oct 2013.

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Citing papers per year: 2021: 8; 2022: 5; 2023: 15; 2024: 14; 2025: 16; 2026: 2.

60 papers.

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  1. 2024Autoregressive Image Generation without Vector Quantizationcited by 644
  2. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  3. 2024Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokenscited by 147
  4. 2021UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Modelscited by 133
  5. 2024Randomized Autoregressive Visual Generationcited by 125
  6. 2021Multimodal Image Synthesis and Editing: The Generative AI Eracited by 52
  7. 2025Unified Autoregressive Visual Generation and Understanding with Continuous Tokenscited by 51
  8. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 50
  9. 2024Community Forensics: Using Thousands of Generators to Train Fake Image Detectorscited by 50
  10. 2025Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokenscited by 48
  11. 2023Regularized Vector Quantization for Tokenized Image Synthesiscited by 46
  12. 2021HDMapGen: A Hierarchical Graph Generative Model of High Definition Mapscited by 40
38 more
  1. 2023Bridging Discrete and Backpropagation: Straight-Through and Beyondcited by 31
  2. 2024Counting Ability of Large Language Models and Impact of Tokenizationcited by 29
  3. 2021Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learningcited by 26
  4. 2023Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspectivecited by 26
  5. 2021Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Testscited by 24
  6. 2023MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Modelcited by 22
  7. 2023Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencodercited by 18
  8. 2023Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distributioncited by 15
  9. 2024APEX: An Extensible and Dynamism-Aware Simulator for Automated Parallel Execution in LLM Servingcited by 15
  10. 2021Tensor networks and efficient descriptions of classical datacited by 13
  11. 2023Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trickcited by 13
  12. 2024Denoising with a Joint-Embedding Predictive Architecturecited by 12
  13. 2023Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecastscited by 11
  14. 2025LazyMAR: Accelerating Masked Autoregressive Models via Feature Cachingcited by 11
  15. 2025Continuous Visual Autoregressive Generation via Score Maximizationcited by 9
  16. 2023The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systemscited by 8
  17. 2024Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokenscited by 7
  18. 2025REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularizationcited by 6
  19. 2025VA-π: Variational Policy Alignment for Pixel-Aware Autoregressive Generationcited by 6
  20. 2024Message Passing Variational Autoregressive Network for Solving Intractable Ising Modelscited by 5
  21. 2025The Alpha-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performancecited by 5
  22. 2025Direction-Aware Diagonal Autoregressive Image Generationcited by 5
  23. 2025DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra Elucidationcited by 5
  24. 2021Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimatorscited by 4
  25. 20223D Brain and Heart Volume Generative Models: A Surveycited by 4
  26. 2024E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modelingcited by 4
  27. 2025Vision-Language Model Guided Image Restorationcited by 4
  28. 2022NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applicationscited by 3
  29. 2023Symmetric Equilibrium Learning of VAEscited by 3
  30. 2024Alternators For Sequence Modelingcited by 3
  31. 2025Towards Harmonized Uncertainty Estimation for Large Language Modelscited by 3
  32. 2023Statistical Parameterized Physics-Based Machine Learning Digital Twin Models for Laser Powder Bed Fusion Processcited by 2
  33. 2025Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Samplingcited by 2
  34. 2023A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0cited by 1
  35. 2024Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Datacited by 1
  36. 2024TrajLearn: Trajectory Prediction Learning using Deep Generative Modelscited by 1
  37. 2025Poly-Autoregressive Prediction for Modeling Interactionscited by 1
  38. 2025AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Modelscited by 1

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