Results 11 to 20 of about 54,215,730 (336)
High-Resolution Image Synthesis with Latent Diffusion Models [PDF]
Computer Vision and Pattern Recognition, 2021 By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulation allows for a guiding mechanism
Robin Rombach +4 more
semanticscholar +1 more source
Extracting Training Data from Diffusion Models [PDF]
USENIX Security Symposium, 2023 Image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have attracted significant attention due to their ability to generate high-quality synthetic images.
Nicholas Carlini +8 more
semanticscholar +1 more source
An end-to-end data-driven optimization framework for constrained trajectories
Data-Centric Engineering, 2022 Many real-world problems require to optimize trajectories under constraints. Classical approaches are often based on optimal control methods but require an exact knowledge of the underlying dynamics and constraints, which could be challenging or even out
Florent Dewez +3 more
doaj +1 more source
Common Data Model for Neuroscience Data and Data Model Exchange [PDF]
Journal of the American Medical Informatics Association, 2001 Generalizing the data models underlying two prototype neurophysiology databases, the authors describe and propose the Common Data Model (CDM) as a framework for federating a broad spectrum of disparate neuroscience information resources.Each component of the CDM derives from one of five superclasses-data, site, method, model, and reference-or from ...
D, Gardner +6 more
openaire +3 more sources
IET Computer Vision, 2022 Stereo matching algorithms have been developed for many years but basically focus only on the implementation of existing datasets and are rarely applied to real scenarios, such as industrial robot scenarios.
Hui Wei, Lingjiang Meng
doaj +1 more source
Open-Pit Map: An HD Map Data Model for Open-Pit Mines
Applied Sciences, 2023 Open-pit mines are becoming more intelligent and unmanned. One of the core technologies for autonomous driving is high-definition map technology, while refined mine maps are also needed to support scenarios such as vehicle–shovel collaboration, loading ...
Xingliang Xu +4 more
doaj +1 more source
Challenges of integrated variance estimation in emerging stock markets [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2019 Estimating integrated variance, using high frequency data, requires modelling experience and data crunching skills. Although intraday returns have attracted much attention in recent years, handling these data is challenging because of their ...
Josip Arnerić, Mario Matković
doaj +1 more source
Scaling Data-Constrained Language Models [PDF]
Neural Information Processing Systems, 2023 The current trend of scaling language models involves increasing both parameter count and training dataset size. Extrapolating this trend suggests that training dataset size may soon be limited by the amount of text data available on the internet ...
Niklas Muennighoff +8 more
semanticscholar +1 more source
Data-Centric Engineering, 2020 Aircraft performance models play a key role in airline operations, especially in planning a fuel-efficient flight. In practice, manufacturers provide guidelines which are slightly modified throughout the aircraft life cycle via the tuning of a single ...
Florent Dewez +2 more
doaj +1 more source
, 2022 REsolution has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 101034439. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA.
Garofoli, Andrea +2 more
openaire +2 more sources