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https://deepai.org/publication/i-flow-high-dimensional-integration-and-sampling-with-normalizing-flows i-flow: High-dimensional Integration and Sampling with Normalizing Flows | DeepAI Jan 15, 2020 - 01/15/20 - In many fields of science, high-dimensional integration is required. Numerical methods have been developed to evaluate these compl... i flow high dimensional normalizing flows integration https://deepai.org/publication/semantic-perturbations-with-normalizing-flows-for-improved-generalization Semantic Perturbations with Normalizing Flows for Improved Generalization | DeepAI Aug 18, 2021 - 08/18/21 - Data augmentation is a widely adopted technique for avoiding overfitting when training deep neural networks. However, this approac... normalizing flows semantic perturbations improved generalization https://deepai.org/publication/uncertainty-quantification-in-medical-image-segmentation-with-normalizing-flows Uncertainty quantification in medical image segmentation with Normalizing Flows | DeepAI Jun 4, 2020 - 06/04/20 - Medical image segmentation is inherently an ambiguous task due to factors such as partial volumes and variations in anatomical def... medical image segmentation uncertainty quantification normalizing flows deepai https://openreview.net/forum?id=li7qeBbCR1t Building Normalizing Flows with Stochastic Interpolants | OpenReview A method is proposed to construct normalizing flows based on stochastic interpolants, yielding an efficient training algorithm compared to equivalent ODE... normalizing flows building stochastic openreview https://openreview.net/forum?id=JiQXsLvDls&referrer=%5Bthe%20profile%20of%20Ivan%20Butakov%5D(%2Fprofile%3Fid%3D~Ivan_Butakov1) Mutual Information Estimation via Normalizing Flows | OpenReview We propose a novel approach to the problem of mutual information (MI) estimation via introducing a family of estimators based on normalizing flows. The... mutual information normalizing flows estimation via openreview https://arxiv.org/abs/2510.04417 [2510.04417] Partial Information Decomposition via Normalizing Flows in Latent Gaussian... Abstract page for arXiv paper 2510.04417: Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions normalizing flows 2510 04417 partial information https://oecd.ai/en/catalogue/metric-use-cases/paddingflow-improving-normalizing-flows-with-padding-dimensional-noise PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise - OECD.AI Multimodal Large Language Models (MLLMs) excel in generating responses based on visual inputs. However, they often suffer from a bias towards generating... normalizing flows improving padding dimensional noise https://www.usgs.gov/publications/disasternet-causal-bayesian-networks-normalizing-flows-cascading-hazards DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards | U.S.... Sudden-onset hazards like earthquakes often induce cascading secondary hazards (e.g., landslides, liquefaction, debris flows, etc.) and subsequent impacts... bayesian networks normalizing flows https://openreview.net/forum?id=SlctILjcxc AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows | OpenReview We propose a new normalizing flow structure with unrestricted model classes and parameters. time machine normalizing flows autm atomic unrestricted https://openreview.net/forum?id=9OmCr1q54Z AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection | OpenReview We propose a normalizing flow based autoencoder for medical anomaly detection and it outperformed the other approaches by a large margin. normalizing flows https://openreview.net/forum?id=kEPAmGivMD Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference | OpenReview Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference achieves state of the art performance on many challenging high dimensional... langevin monte carlo normalizing flows bayesian inference deterministic https://deepai.org/publication/building-normalizing-flows-with-stochastic-interpolants Building Normalizing Flows with Stochastic Interpolants | DeepAI Sep 30, 2022 - 09/30/22 - A simple generative model based on a continuous-time normalizing flow between any pair of base and target distributions is propose... normalizing flows building stochastic deepai https://openreview.net/forum?id=TN4UpY_Qzo Whitening Convergence Rate of Coupling-based Normalizing Flows | OpenReview We show and confirm experimentally an explicit convergence rate for coupling-based normalizing flows for whitening in terms of KL divergence. convergence rate normalizing flows whitening coupling based https://openreview.net/forum?id=ZCOwwRAaEl Latent Bayesian Optimization via Autoregressive Normalizing Flows | OpenReview Bayesian Optimization (BO) has been recognized for its effectiveness in optimizing expensive and complex objective functions. Recent advancements in Latent... bayesian optimization normalizing flows latent via autoregressive https://www.amazon.science/publications/creating-new-voices-using-normalizing-flows Creating new voices using normalizing flows - Amazon Science Creating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in... new voices normalizing flows creating using amazon https://deepai.org/publication/semi-discrete-normalizing-flows-through-differentiable-tessellation Semi-Discrete Normalizing Flows through Differentiable Tessellation | DeepAI Mar 14, 2022 - 03/14/22 - Mapping between discrete and continuous distributions is a difficult task and many have had to resort to approximate or heuristica... normalizing flows semi discrete differentiable tessellation https://www.amazon.science/publications/improving-the-expressiveness-of-neural-vocoding-with-non-affine-normalizing-flows Improving the expressiveness of neural vocoding with non-affine normalizing flows - Amazon Science This paper proposes a general enhancement to the Normalizing Flows (NF) used in neural vocoding. As a case study, we improve expressive speech vocoding with a... https://openreview.net/forum?id=Skrk3StS2g Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows |... Training normalizing flow generative models can be challenging due to the need to calculate computationally expensive determinants of Jacobians. This paper... free training semi autoregressive energy flows https://arxiv.org/html/2501.07371v1 Simulating the Hubbard Model with Equivariant Normalizing Flows hubbard model simulating equivariant normalizing flows https://openreview.net/forum?id=gQoBw7sGAu&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2025%2FConference%2FAuthors%23your-submissions) Rare event modeling with self-regularized normalizing flows: what can we learn from a single... Increased deployment of autonomous systems in fields like transportation and robotics have seen a corresponding increase in safety-critical failures. These... https://arxiv.org/abs/2508.05744 [2508.05744] Detecting Model Misspecification in Cosmology with Scale-Dependent Normalizing Flows Abstract page for arXiv paper 2508.05744: Detecting Model Misspecification in Cosmology with Scale-Dependent Normalizing Flows https://arxiv.org/abs/2002.06103v3 [2002.06103v3] Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows Abstract page for arXiv paper 2002.06103v3: Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows time series forecasting 2002 multivariate probabilistic https://www.amazon.science/publications/remap-warp-and-attend-non-parallel-many-to-many-accent-conversion-with-normalizing-flows Remap, warp and attend: Non-parallel many-to-many accent conversion with normalizing flows - Amazon... Regional accents of the same language affect not only how words are pronounced (i.e., phonetic content), but also impact prosodic aspects of speech such as... https://deepai.org/publication/blind-super-resolution-for-remote-sensing-images-via-conditional-stochastic-normalizing-flows Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows |... Oct 14, 2022 - 10/14/22 - Remote sensing images (RSIs) in real scenes may be disturbed by multiple factors such as optical blur, undersampling, and addition... super resolution for remote https://openreview.net/forum?id=qG_x6oTIki Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows |... Latent-Variable Policy Optimization for Offline RL based on Normalizing Flows (outperforms both PLAS and LAPO) https://deepai.org/publication/improving-the-expressiveness-of-neural-vocoding-with-non-affine-normalizing-flows Improving the expressiveness of neural vocoding with non-affine Normalizing Flows | DeepAI Jun 16, 2021 - 06/16/21 - This paper proposes a general enhancement to the Normalizing Flows (NF) used in neural vocoding. As a case study, we improve expre...