A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Sign Up to like & getrecommendations! Published in 2022 at "Applied Energy"
DOI: 10.1016/j.apenergy.2021.117871
Abstract: Greater direct electrification of end-use sectors with a higher share of renewables is one of the pillars to power a carbon-neutral society by 2050. However, in contrast to conventional power plants, renewable energy is subject… read more here.
Keywords: power systems; energy; energy forecasting; normalizing flows ... See more keywords
Efficient modeling of trivializing maps for lattice ϕ4 theory using normalizing flows: A first look at scalability
Sign Up to like & getrecommendations! Published in 2021 at "Physical Review D"
DOI: 10.1103/physrevd.104.094507
Abstract: General-purpose Markov Chain Monte Carlo sampling algorithms suffer from a dramatic reduction in efficiency as the system being studied is driven towards a critical point through, for example, taking the continuum limit. Recently, a series… read more here.
Keywords: efficient modeling; maps lattice; theory; trivializing maps ... See more keywords
Normalizing Flows for Microscopic Many-Body Calculations: An Application to the Nuclear Equation of State.
Sign Up to like & getrecommendations! Published in 2021 at "Physical review letters"
DOI: 10.1103/physrevlett.127.062701
Abstract: Normalizing flows are a class of machine learning models used to construct a complex distribution through a bijective mapping of a simple base distribution. We demonstrate that normalizing flows are particularly well suited as a… read more here.
Keywords: many body; body calculations; state; nuclear equation ... See more keywords
Detecting Anomalies in Small Unmanned Aerial Systems via Graphical Normalizing Flows
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Intelligent Systems"
DOI: 10.1109/mis.2023.3252810
Abstract: With the increasing deployment of small unmanned aerial systems (sUASs) on various tasks, it becomes crucial to analyze and detect anomalies from their flight logs. To support research in this area, we curate Drone Log… read more here.
Keywords: aerial systems; small unmanned; normalizing flows; graphical normalizing ... See more keywords
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3116668
Abstract: Deep generative models are a class of techniques that train deep neural networks to model the distribution of training samples. Research has fragmented into various interconnected approaches, each of which make trade-offs including run-time, diversity,… read more here.
Keywords: energy based; deep generative; autoregressive models; generative modelling ... See more keywords
StyleVR: Stylizing Character Animations with Normalizing Flows.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2023.3259183
Abstract: The significance of artistry in creating animated virtual characters is widely acknowledged, and motion style is a crucial element in this process. There has been a long-standing interest in stylizing character animations with style transfer… read more here.
Keywords: stylevr stylizing; style; character animations; normalizing flows ... See more keywords