Methods › Computer Vision › Likelihood-Based Generative Models › NICE
Non-linear Independent Component Estimation
NICE
Introduced by Laurent Dinh et al. in NICE: Non-linear Independent Components Estimation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
NICE, or Non-Linear Independent Components Estimation is a framework for modeling complex high-dimensional densities. It is based on the idea that a good representation is one in which the data has a distribution that is easy to model. For this purpose, a non-linear deterministic transformation of the data is learned that maps it to a latent space so as to make the transformed data conform to a factorized distribution, i.e., resulting in independent latent variables. The transformation is parameterised so that computing the determinant of the Jacobian and inverse Jacobian is trivial, yet it maintains the ability to learn complex non-linear transformations, via a composition of simple building blocks, each based on a deep neural network. The training criterion is simply the exact log-likelihood. The transformation used in NICE is the affine coupling layer without the scale term, known as additive coupling layer:
y_(I₂) = x_(I₂) + m(x_(I₁))
x_(I₂) = y_(I₂) + m(y_(I₁))
Papers archive 2025-07-28
22 shown of 22, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Towards Conversational AI for Disease Management 8 Mar 2025 · 0 repositories · arXiv:2503.06074
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I See, Therefore I Do: Estimating Causal Effects for Image Treatments 28 Nov 2024 · 0 repositories · arXiv:2412.06810
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Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data 28 Oct 2024 · 0 repositories · arXiv:2410.21531
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The Solution for the CVPR2024 NICE Image Captioning Challenge 19 Apr 2024 · 0 repositories · arXiv:2404.12739
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NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning 1 Jan 2024 · 1 repository
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NICE: Improving Panoptic Narrative Detection and Segmentation with Cascading Collaborative Learning 17 Oct 2023 · 1 repository · arXiv:2310.10975
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Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method 3 Oct 2023 · 1 repository · arXiv:2310.02019
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NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs 21 Sep 2023 · 1 repository
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NICE: CVPR 2023 Challenge on Zero-shot Image Captioning 5 Sep 2023 · 0 repositories · arXiv:2309.01961
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Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration 7 Jul 2023 · 1 repository · arXiv:2307.03421
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Introduction to Non-Invasive Current Estimation (NICE) 17 Jan 2023 · 0 repositories · arXiv:2301.10237
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Protein Co-Enrichment Analysis of Extracellular Vesicles 10 Jan 2023 · 0 repositories · arXiv:2301.04051
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Focusing on Context is NICE: Improving Overshadowed Entity Disambiguation 12 Oct 2022 · 0 repositories · arXiv:2210.06164
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NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation 27 Jul 2022 · 0 repositories · arXiv:2207.13316
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The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation 7 Jun 2022 · 1 repository · arXiv:2206.03014Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
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Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer 24 Feb 2022 · 0 repositories · arXiv:2203.00449
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NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming 24 Sep 2021 · 1 repository · arXiv:2109.12171
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Approximation capabilities of measure-preserving neural networks 21 Jun 2021 · 0 repositories · arXiv:2106.10911
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NICE: An Algorithm for Nearest Instance Counterfactual Explanations 15 Apr 2021 · 3 repositories · arXiv:2104.07411
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Generative Time-series Modeling with Fourier Flows 1 Jan 2021 · 0 repositories
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Invariant Representation Learning for Treatment Effect Estimation 24 Nov 2020 · 1 repository · arXiv:2011.12379Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
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NICE: Non-linear Independent Components Estimation 30 Oct 2014 · 19 repositories · arXiv:1410.8516Syntology ran 24 of 27 samples · 3 unverified
Tasks archive 2025-07-28
20 shown of 39 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Causal Inference | 2 |
| Graph Generation | 2 |
| Image Captioning | 2 |
| Scene Graph Generation | 2 |
| counterfactual | 2 |
| All | 1 |
| CPU | 1 |
| Causal Identification | 1 |
| Class Incremental Learning | 1 |
| Clinical Knowledge | 1 |
| Continual Learning | 1 |
| Deep Learning | 1 |
| Diagnostic | 1 |
| Entity Disambiguation | 1 |
| Fairness | 1 |
| Hippocampus | 1 |
| Image Generation | 1 |
| Image Registration | 1 |
| Incremental Learning | 1 |
| Knowledge Distillation | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections