Results 11 to 20 of about 65,539 (306)
Lifelong generative modeling [PDF]
Neurocomputing, 2020 Lifelong learning is the problem of learning multiple consecutive tasks in a sequential manner, where knowledge gained from previous tasks is retained and used to aid future learning over the lifetime of the learner. It is essential towards the development of intelligent machines that can adapt to their surroundings. In this work we focus on a lifelong
Jason Ramapuram +2 more
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Review of Generative Reinforcement Learning Based on Sequence Modeling [PDF]
Jisuanji kexueReinforcement learning is a branch of machine learning on how to learn decisions,which is a sequential decision-making problem that involves repeatedly interacting with the environment to find the optimal strategy through trial and error.Reinforcement ...
YAO Tianlei, CHEN Xiliang, YU Peiyi
doaj +2 more sources
Generative Mesh Modeling [PDF]
, 2005 Die generative Modellierung ist ein alternativer Ansatz zur Beschreibung von dreidimensionaler Form. Zugrunde liegt die Idee, ein Modell nicht wie üblich durch eine Ansammlung geometrischer Primitive (Dreiecke, Punkte, NURBS-Patches) zu beschreiben, sondern durch Funktionen.
Havemann, Sven
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Generative Modeling for Interpretable Anomaly Detection in Medical Imaging: Applications in Failure Detection and Data Curation [PDF]
BioengineeringThis work aims to leverage generative modeling-based anomaly detection to enhance interpretability in AI failure detection systems and to aid data curation for large repositories.
McKell E. Woodland +12 more
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Unsupervised Generative Modeling Using Matrix Product States
Physical Review X, 2018 Generative modeling, which learns joint probability distribution from data and generates samples according to it, is an important task in machine learning and artificial intelligence.
Zhao-Yu Han +4 more
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Deep Generative Modeling: From Probabilistic Framework to Generative AI [PDF]
EntropyLarge Language Models (LLMs) have unlocked a new frontier in AI applications, significantly advancing the field of generative modeling [...]
Jakub M. Tomczak
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Generative modeling of turbulence
Physics of Fluids, 2022 We present a mathematically well-founded approach for the synthetic modeling of turbulent flows using generative adversarial networks (GAN). Based on the analysis of chaotic, deterministic systems in terms of ergodicity, we outline a mathematical proof that GAN can actually learn to sample state snapshots from the invariant measure of the chaotic ...
C. Drygala +3 more
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Data-Driven Discovery of 2D Materials for Solar Water Splitting
Frontiers in Materials, 2021 Hydrogen economy, wherein hydrogen is used as the fuel in the transport and energy sectors, holds significant promise in mitigating the deleterious effects of global warming.
Abhishek Agarwal +2 more
doaj +1 more source
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML [PDF]
, 2023 Most experts agree that large language models (LLMs), such as those used by Copilot and ChatGPT, are expected to revo- lutionize the way in which software is developed.
Vallecillo-Moreno, Antonio Jesús +11 more
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The generic model of general relativity [PDF]
Arabian Journal of Mathematics, 2019 55 pages, no ...
Tsamparlis, M., Paliathanasis, A.
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