Opening book details…
Can I read Generalized Normalizing Flows via Markov Chains on EtoBox?
Generalized Normalizing Flows via Markov Chains by Paul Lyonel Hagemann, Johannes Hertrich, Gabriele Steidl is a computer science book available to read on EtoBox.
What is Generalized Normalizing Flows via Markov Chains about?
Normalizing flows, diffusion normalizing flows and variational autoencoders are powerful generative models. This Element provides a unified framework to handle these approaches via Markov chains. The authors consider stochastic normalizing flows as a pair of Markov chains fulfilling some properties, and show how many state-of-the-art models for data generation fit into this framework. Indeed numerical simulations show that including stochastic layers improves the expressivity of the network and
Who reads Generalized Normalizing Flows via Markov Chains?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Paul Lyonel Hagemann, Johannes Hertrich, Gabriele Steidl
- Publisher
- Cambridge University Press
- Published
- 2023
- Language
- EN
- ISBN
- 9781009331012
- Category
- computer science
- Subjects
- Mathematics, Computer Science, Stochastic Processes
- Updated
- 2026-03-25
More by Paul Lyonel Hagemann, Johannes Hertrich, Gabriele Steidl
Browse all works by Paul Lyonel Hagemann, Johannes Hertrich, Gabriele Steidl
Similar books
- Markov Set-Chains — Darald J. Hartfiel (2006)
- Continuous-Time Markov Chains and Applications : A Singular Perturbation Approach — G. George Yin, Qing Zhang (auth.) (1998)
- A First Course in Probability and Markov Chains — Laura Poggiolini Giuseppe Modica (2013)
- From Markov Chains To Non-equilibrium Particle Systems Second Edition — Mu-Fa Chen (2004)
- Markov Chains on Metric Spaces : A Short Course — Michel Benaïm; Tobias Hurth (2022)
- Markov Chains and Mixing Times — David A. Levin, Yuval Peres, Elizabeth L. Wilmer (2017)