Results 21 to 30 of about 71,961 (266)

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, Sriram Goverapet Srinivasan, Beena Rai   +2 more
doaj   +1 more source

Modelling control in generation [PDF]

Proceedings of the Eleventh European Workshop on Natural Language Generation - ENLG '07, 2007
In this paper we present a view of natural language generation in which the control structure of the generator is clearly separated from the content decisions made during generation, allowing us to explore and compare different control strategies in a systematic way.
Roger Evans, David J. Weir, John Carroll 0001, Daniel S. Paiva, Anja Belz   +4 more
openaire   +2 more sources

Attribute-Aware Generative Design With Generative Adversarial Networks

IEEE Access, 2020
The designers' tendency to adhere to a specific mental set and heavy emotional investment in their initial ideas often limit their ability to innovate during the design ideation process.
Chenxi Yuan, Mohsen Moghaddam
doaj   +1 more source

Composable Generative Models

CoRR, 2021
Generative modeling has recently seen many exciting developments with the advent of deep generative architectures such as Variational Auto-Encoders (VAE) or Generative Adversarial Networks (GAN). The ability to draw synthetic i.i.d. observations with the same joint probability distribution as a given dataset has a wide range of applications including ...
Johan Leduc, Nicolas Grislain
openaire   +2 more sources

Optical generative models

Nature
Abstract Generative models cover various application areas, including image and video synthesis, natural language processing and molecular design, among many others1–11. As digital generative models become larger, scalable inference in a fast and energy-efficient manner becomes a challenge12–14.
Shiqi Chen, Yuhang Li, Yuntian Wang, Hanlong Chen, Aydogan Ozcan   +4 more
openaire   +5 more sources

ProT-GFDM: A generative fractional diffusion model for protein generation

Computational and Structural Biotechnology Journal
This work introduces the generative fractional diffusion model for protein generation (ProT-GFDM), a novel generative framework that employs fractional stochastic dynamics for protein backbone structure modeling.
Xiao Liang, Wentao Ma, Eric Paquet, Herna Viktor, Wojtek Michalowski   +4 more
doaj   +1 more source

Enhancing Variational Generation Through Self-Decomposition

IEEE Access, 2022
In this article we introduce the notion of Split Variational Autoencoder (SVAE), whose output $\hat {x}$ is obtained as a weighted sum $\sigma \odot \hat {x_{1}} + (1-\sigma) \odot \hat {x_{2}}$ of two generated images $\hat {x_{1}},\hat {x_{2 ...
Andrea Asperti, Laura Bugo, Daniele Filippini   +2 more
doaj   +1 more source

Flow Matching Posterior Estimation for Simulation-Based Atmospheric Retrieval of Exoplanets

IEEE Access
The characterization of exoplanetary atmospheres allows a deeper understanding of planetary formation, evolution, and habitability through atmospheric retrieval, which consists in inferring various properties of exoplanetary atmospheres given their ...
Massimiliano Giordano Orsini, Alessio Ferone, Laura Inno, Angelo Casolaro, Antonio Maratea   +4 more
doaj   +1 more source

arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests

Journal of Open Research Software
This paper introduces arfpy, a python implementation of Adversarial Random Forests, which is a lightweight procedure for synthesizing new data that resembles some given data.
Kristin Blesch, Marvin N. Wright
doaj   +1 more source

Multimeasurement Generative Models

CoRR, 2021
Our code is publicly available at https://github.com/nnaisense ...
Saeed Saremi, Rupesh Kumar Srivastava
openaire   +4 more sources