Results 1 to 10 of about 1,700,237 (213)

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps [PDF]

open access: yesNeural Information Processing Systems, 2022
Diffusion probabilistic models (DPMs) are emerging powerful generative models. Despite their high-quality generation performance, DPMs still suffer from their slow sampling as they generally need hundreds or thousands of sequential function evaluations ...
Cheng Lu   +5 more
semanticscholar   +1 more source

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking [PDF]

open access: yesInternational Conference on Learning Representations, 2022
Predicting the binding structure of a small molecule ligand to a protein -- a task known as molecular docking -- is critical to drug design. Recent deep learning methods that treat docking as a regression problem have decreased runtime compared to ...
Gabriele Corso   +4 more
semanticscholar   +1 more source

Common Diffusion Noise Schedules and Sample Steps are Flawed [PDF]

open access: yesIEEE Workshop/Winter Conference on Applications of Computer Vision, 2023
We discover that common diffusion noise schedules do not enforce the last timestep to have zero signal-to-noise ratio (SNR), and some implementations of diffusion samplers do not start from the last timestep.
Shanchuan Lin   +3 more
semanticscholar   +1 more source

Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps [PDF]

open access: yesInternational Conference on Computational Linguistics, 2020
A multi-hop question answering (QA) dataset aims to test reasoning and inference skills by requiring a model to read multiple paragraphs to answer a given question. However, current datasets do not provide a complete explanation for the reasoning process
Xanh Ho   +3 more
semanticscholar   +1 more source

Perspective: Phosphorus monitoring must be rooted in sustainability frameworks spanning material scale to human scale

open access: yesWater Research X, 2023
Phosphorus (P) is a finite resource, and its environmental fate and transport is complex. With fertilizer prices expected to remain high for years and disruption to supply chains, there is a pressing need to recover and reuse P (primarily as fertilizer).
Eric McLamore   +6 more
doaj   +1 more source

The incandescent light bulb phase-out: exploring patterns of framing the governance of discontinuing a socio-technical regime

open access: yesEnergy, Sustainability and Society, 2021
Research interest This paper aims at a better understanding of the governance of the abandonment of socio-technical regimes through the example of the incandescent light bulb phase-out in the European Union and in the Netherlands as one specific case ...
Peter Stegmaier   +2 more
doaj   +1 more source

Correction to: The incandescent light bulb phase-out: exploring patterns of framing the governance of discontinuing a socio-technical regime

open access: yesEnergy, Sustainability and Society, 2021
An amendment to this paper has been published and can be accessed via the original article.
Peter Stegmaier   +2 more
doaj   +1 more source

Associations between Objectively Determined Physical Activity and Cardiometabolic Health in Adult Women: A Systematic Review and Meta-Analysis

open access: yesBiology, 2022
The purpose of this systematic review and meta-analysis was to qualitatively synthesize and quantitatively assess the evidence of the relationship between objectively determined volumes of physical activity (PA) and cardiometabolic health in women.
Yining Lu   +6 more
doaj   +1 more source

Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts

open access: yesLancet Public Health, 2022
Background Although 10 000 steps per day is widely promoted to have health benefits, there is little evidence to support this recommendation. We aimed to determine the association between number of steps per day and stepping rate with all-cause mortality.
Amanda E. Paluch   +44 more
semanticscholar   +1 more source

Decentralized gradient tracking with local steps [PDF]

open access: yesOptim. Methods Softw., 2023
Gradient tracking (GT) is an algorithm designed for solving decentralized optimization problems over a network (such as training a machine learning model).
Yue Liu   +3 more
semanticscholar   +1 more source

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