GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution
Generative Adversarial Networks (GAN) have limitations when the goal is to generate sequences of discrete elements. The reason for this is that samples from a distribution on discrete objects such as the multinomial are not differentiable with respect to
Kusner, MJ, Hernández-Lobato, JM, ,
core
Resource-Adaptive Semantic Transmission and Client Scheduling for OFDM-Based V2X Communications. [PDF]
Liu J, Chen Y, Wu W, Tian F.
europepmc +1 more source
Recently attempts have been made to characterize probability distributions via truncated expectations in both univariate and multivariate cases. In this paper we will use a well known theorem of Lau and Rao (1982) to obtain some characterization results,
Asadi, Majid
core
Spatiotemporal imbalance of regional water shortage risk based on copulas and concentration index. [PDF]
Qian T +9 more
europepmc +1 more source
Copula-based multivariate analysis of hydrological drought over jiabharali sub-basin of Brahmaputra River, India. [PDF]
Chakma B +7 more
europepmc +1 more source
Modelling dependent censoring in time-to-event data using boosting copula regression. [PDF]
Strömer A +3 more
europepmc +1 more source
Climate-driven flood hazard assessment in data-scarce mountainous basins using a GIS-based machine learning and hydrodynamic modelling under CMIP6 SSP scenarios. [PDF]
Khan S +7 more
europepmc +1 more source
Assessment of wind-induced fatigue life for transmission tower-line systems incorporating joint probability distribution of wind speed and direction. [PDF]
Wu S, Liu H, Zhang J, You Y.
europepmc +1 more source
Increasing extreme winds challenge offshore wind energy resilience. [PDF]
Zhao Y, Tao Y, Chen Y, Yan J, Zeng Z.
europepmc +1 more source
Reliability Modeling of Wind Turbine Gearbox System Considering Failure Correlation Under Shock-Degradation. [PDF]
Liu X, Wu Z, Yuan Y, Sun W, Gao J.
europepmc +1 more source

