Results 51 to 60 of about 38,951,336 (344)
SinGAN: Learning a Generative Model From a Single Natural Image [PDF]
IEEE International Conference on Computer Vision, 2019 We introduce SinGAN, an unconditional generative model that can be learned from a single natural image. Our model is trained to capture the internal distribution of patches within the image, and is then able to generate high quality, diverse samples that
Tamar Rott Shaham +2 more
semanticscholar +1 more source
Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks [PDF]
, 2019 Graphs and networks are a key research tool for a variety of science fields, most notably chemistry, biology, engineering and social sciences. Modeling and generation of graphs with efficient sampling is a key challenge for graphs. In particular, the non-
Ruud, van Deursen +3 more
core +1 more source
An all-atom protein generative model
bioRxiv, 2023 Proteins mediate their functions through chemical interactions; modeling these interactions, which are typically through sidechains, is an important need in protein design. However, constructing an all-atom generative model requires an appropriate scheme
Alexander E. Chu +4 more
semanticscholar +1 more source
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
openaire +1 more source
Deep generative model for probabilistic wind speed and wind power estimation at a wind farm
Energy Science & Engineering, 2022 This work introduces a novel method to generate probabilistic hub‐height wind speed forecasts aimed at power output prediction. We employ state‐of‐the‐art convolutional variational autoencoders (CVAEs) trained with historical wind speed observations ...
Andrés A. Salazar +3 more
doaj +1 more source
Future of the Artificial Intelligence: Object of Law or Legal Personality?
Journal of Digital Technologies and Law, 2023 Objective: to reveal the problems associated with legal regulation of public relations, in which artificial intelligence systems are used, and to rationally comprehend the possibility of endowing such systems with a legal subject status, which is being ...
I. A. Filipova, V. D. Koroteev
doaj +1 more source
A generative model of memory construction and consolidation
bioRxiv, 2023 Episodic memories are (re)constructed, combining unique features with familiar schemas, share neural substrates with imagination, and show schema-based distortions that increase with consolidation.
Eleanor Spens, N. Burgess
semanticscholar +1 more source
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
AAAI Conference on Artificial Intelligence, 2023 The study of generative models is a promising branch of deep learning techniques, which has been successfully applied to different scenarios, such as Artificial Intelligence and the Internet of Things.
Zuobin Xiong, Wei Li, Zhipeng Cai
semanticscholar +1 more source
A Generic Model of Consciousness
Journal of Artificial Intelligence and Consciousness, 2023 This is a model of consciousness. The hard problem of consciousness, what it feels like, is answered. The work builds on medical research analyzing the source and mechanisms associated with our feelings. It goes further by describing a generic model with wide applicability.
openaire +3 more sources