Results 21 to 30 of about 65,539 (306)
Enhancing Variational Generation Through Self-Decomposition
IEEE Access, 2022 In this article we introduce the notion of Split Variational Autoencoder (SVAE), whose output $\hat {x}$ is obtained as a weighted sum $\sigma \odot \hat {x_{1}} + (1-\sigma) \odot \hat {x_{2}}$ of two generated images $\hat {x_{1}},\hat {x_{2 ...
Andrea Asperti +2 more
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Learning Generative State Space Models for Active Inference
Frontiers in Computational Neuroscience, 2020 In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world.
Ozan Çatal +4 more
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CoRR, 2021 Generative modeling has recently seen many exciting developments with the advent of deep generative architectures such as Variational Auto-Encoders (VAE) or Generative Adversarial Networks (GAN). The ability to draw synthetic i.i.d. observations with the same joint probability distribution as a given dataset has a wide range of applications including ...
Johan Leduc, Nicolas Grislain
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Kompren: modeling and generating model slicers [PDF]
Software & Systems Modeling, 2012 Among model comprehension tools, model slicers are tools that extract a subset of model elements, for a specific purpose. Model slicers provide a mechanism to isolate and focus on parts of the model, thereby improving the overall analysis process. However, existing slicers are dedicated to a specific modeling language.
Blouin, Arnaud +3 more
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Generative Enhancement of 3D Image Classifiers
Applied Sciences, 2020 In this paper, we propose a methodology for generative enhancement of existing 3D image classifiers. This methodology is based on combining the advantages of both non-generative classifiers and generative modeling.
Michal Varga +2 more
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Applied Mechanics, 2023 Advanced Driver Assistance Systems (ADASs) attract constantly growing attention from academics and industry as more and more vehicles are equipped with such technology.
Zafer Kayatas +3 more
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Multimeasurement Generative Models
CoRR, 2021 Our code is publicly available at https://github.com/nnaisense ...
Saeed Saremi, Rupesh Kumar Srivastava
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Generative Modeling of Atmospheric Convection [PDF]
, 2020 While cloud-resolving models can explicitly simulate the details of small-scale storm formation and morphology, these details are often ignored by climate models for lack of computational resources.
Pritchard, Mike +9 more
core +1 more source
Deep Neural Networks in Power Systems: A Review
Energies, 2023 Identifying statistical trends for a wide range of practical power system applications, including sustainable energy forecasting, demand response, energy decomposition, and state estimation, is regarded as a significant task given the rapid expansion of ...
Mahdi Khodayar, Jacob Regan
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Active Vision for Robot Manipulators Using the Free Energy Principle
Frontiers in Neurorobotics, 2021 Occlusions, restricted field of view and limited resolution all constrain a robot's ability to sense its environment from a single observation. In these cases, the robot first needs to actively query multiple observations and accumulate information ...
Toon Van de Maele +4 more
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