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  • Search: subject:"Variational autoencoders"
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Year of publication
Subject
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Aesthetics 2 Artificial intelligence 2 Innovation 2 Künstliche Intelligenz 2 Neural networks 2 Neuronale Netze 2 New product development 2 Product design 2 Produktentwicklung 2 Produktgestaltung 2 variational autoencoders 2 Ästhetik 2 Deep learning 1 Estimation theory 1 Generating New Products 1 Generative Adversarial Networks 1 Machine Learning 1 Monte Carlo 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Option pricing 1 Option pricing theory 1 Optionspreistheorie 1 Prelaunch Forecasting 1 Product Development 1 Risiko 1 Risikomanagement 1 Risikomaß 1 Risk 1 Risk management 1 Risk measure 1 Schätztheorie 1 Variational Autoencoders 1 Variational autoencoders 1 Volatility 1 Volatility surface 1 Volatilität 1 aesthetics 1 auto-pruning 1 generating new products 1
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Online availability
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Free 3 CC license 1 Undetermined 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 4
Author
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Burnap, Alex 2 Hauser, John R. 2 Timoshenko, Artem 2 Buch, Robert 1 Csabai, István 1 Fáth, Gábor 1 Grimm, Stefanie 1 Korn, Ralf 1 Kunsági-Máté, Sándor 1 Molnár-Sáska, Gábor 1 Richert, Ivo 1
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Published in...
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MIT Sloan Research Paper 1 Marketing science 1 Quantitative finance 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 4
Showing 1 - 4 of 4
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Product aesthetic design : a machine learning augmentation
Burnap, Alex; Hauser, John R.; Timoshenko, Artem - In: Marketing science 42 (2023) 6, pp. 1029-1056
Persistent link: https://www.econbiz.de/10014436737
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Estimating the value-at-risk by temporal VAE
Buch, Robert; Grimm, Stefanie; Korn, Ralf; Richert, Ivo - In: Risks : open access journal 11 (2023) 5, pp. 1-26
Estimation of the value-at-risk (VaR) of a large portfolio of assets is an important task for financial institutions. As the joint log-returns of asset prices can often be projected to a latent space of a much smaller dimension, the use of a variational autoencoder (VAE) for estimating the VaR...
Persistent link: https://www.econbiz.de/10014303883
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Product Aesthetic Design : A Machine Learning Augmentation
Burnap, Alex; Hauser, John R.; Timoshenko, Artem - 2022
Aesthetics are critically important to market acceptance. In the automotive industry, an improved aesthetic design can boost sales by 30% or more. Firms invest heavily in designing and testing aesthetics. A single automotive “theme clinic” can cost over $100,000, and hundreds are conducted...
Persistent link: https://www.econbiz.de/10014242270
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Deep weighted Monte Carlo : a hybrid option pricing framework using neural networks
Kunsági-Máté, Sándor; Fáth, Gábor; Csabai, István; … - In: Quantitative finance 23 (2023) 4, pp. 615-629
Persistent link: https://www.econbiz.de/10014304287
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