mlsanityData to 7 Oct 2026

MintNet: Building Invertible Neural Networks with Masked Convolutions

arXiv 1907.07945 ↗First posted 18 Jul 2019cs.LG cs.CV stat.MLcited by 35

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Abstract (arXiv)

We propose a new way of constructing invertible neural networks by combining simple building blocks with a novel set of composition rules. This leads to a rich set of invertible architectures, including those similar to ResNets. Inversion is achieved with a locally convergent iterative procedure that is parallelizable and very fast in practice. Additionally, the determinant of the Jacobian can be computed analytically and efficiently, enabling their generative use as flow models. To demonstrate their flexibility, we show that our invertible neural networks are competitive with ResNets on MNIST and CIFAR-10 classification. When trained as generative models, our invertible networks achieve competitive likelihoods on MNIST, CIFAR-10 and ImageNet 32x32, with bits per dimension of 0.98, 3.32 and 4.06 respectively.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Jul 2019.

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Citing papers per year: 2021: 9; 2022: 7; 2023: 9; 2024: 5; 2025: 4; 2026: 1.

35 papers.

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  1. 2021Argmax Flows and Multinomial Diffusion: Learning Categorical Distributionscited by 566
  2. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 251
  3. 2022Concrete Score Matching: Generalized Score Matching for Discrete Datacited by 144
  4. 2022Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanismscited by 61
  5. 2022Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attackscited by 58
  6. 2021Featurized Density Ratio Estimationcited by 33
  7. 2023Reversible Vision Transformerscited by 33
  8. 2021Implicit Normalizing Flowscited by 28
  9. 2022Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localizationcited by 19
  10. 2023SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layercited by 14
  11. 2024Invertible Diffusion Models for Compressed Sensingcited by 12
  12. 2022Improved Input Reprogramming for GAN Conditioningcited by 7
23 more
  1. 2021A Compact Neural Network-based Algorithm for Robust Image Watermarkingcited by 6
  2. 2023Training Energy-Based Normalizing Flow with Score-Matching Objectivescited by 6
  3. 2023Memory-Efficient Reversible Spiking Neural Networkscited by 6
  4. 2023PRIS: Practical robust invertible network for image steganographycited by 5
  5. 2025SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmarkcited by 5
  6. 2021Multi-Resolution Continuous Normalizing Flowscited by 4
  7. 2025On Surjectivity of Neural Networks: Can you elicit any behavior from your model?cited by 4
  8. 2025A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systemscited by 4
  9. 2023Certified Invertibility in Neural Networks via Mixed-Integer Programmingcited by 3
  10. 2021The U-Net based GLOW for Optical-Flow-free Video Interframe Generationcited by 2
  11. 2021Coded-InvNet for Resilient Prediction Serving Systemscited by 2
  12. 2022Graphical Residual Flowscited by 2
  13. 2023FInC Flow: Fast and Invertible k × k Convolutions for Normalizing Flowscited by 2
  14. 2024Classification Diffusion Models: Revitalizing Density Ratio Estimationcited by 2
  15. 2024Generative Modeling: A Reviewcited by 2
  16. 2025Accelerate TarFlow Sampling with GS-Jacobi Iterationcited by 2
  17. 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differencescited by 2
  18. 2023PaReprop: Fast Parallelized Reversible Backpropagationcited by 1
  19. 2024On Exact Bit-level Reversible Transformers Without Changing Architecturescited by 1
  20. 2021Sinusoidal Flow: A Fast Invertible Autoregressive Flowcited by 0
  21. 2022SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networkscited by 0
  22. 2023Quantification of Predictive Uncertainty via Inference-Time Samplingcited by 0
  23. 2024Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Networkcited by 0