Results 81 to 90 of about 651,174 (217)

Neural network-based inverse model for diffuse reflectance spectroscopy. [PDF]

Biomed Opt Express, 2023
Lan Q, McClarren RG, Vishwanath K.
europepmc   +1 more source

Inverse Flow and Consistency Models

CoRR
Inverse generation problems, such as denoising without ground truth observations, is a critical challenge in many scientific inquiries and real-world applications. While recent advances in generative models like diffusion models, conditional flow matching, and consistency models achieved impressive results by casting generation as denoising problems ...
Yuchen Zhang, Jian Zhou
openaire   +3 more sources

A comparison of different inverse carbon flux estimation approaches for application on a regional domain [PDF]

, 2011
We have implemented six different inverse carbon flux estimation methods in a regional carbon dioxide (CO₂) flux modeling system for the Netherlands.
Tolk, L.F., Meesters, A. G. C. A., Tolk, L. F., L. F. Tolk, Meesters, A.G.C.A., Dolman, A.J., Peters, W., Dolman, A. J., Dolman, A.J.; id_orcid, Meesters, A.G.C.A.; id_orcid, W. Peters, A. J. Dolman, A. G. C. A. Meesters   +12 more
core   +1 more source

Regular and Estimable Inverse Demand Systems: A Distance Function Approach [PDF]

To be useful for realistic policy simulation in an environment of rapid structural change, inverse demand systems must remain regular over substantial variations in quantities.
Keith R. McLaren, Gary K.K. Wong
core  

Absolute Moments of Generalized Hyperbolic Distributions and Approximate Scaling of Normal Inverse Gaussian Lévy-Processes [PDF]

, 2004
Expressions for (absolute) moments of generalized hyperbolic (GH) and normal inverse Gaussian (NIG) laws are given in terms of moments of the corresponding symmetric laws.
Barndorff-Nielsen, Ole Eiler, Stelzer, Robert   +1 more
core   +1 more source

Application of cavity ring-down spectroscopy and a novel near surface Gaussian plume estimation approach to inverse model landfill methane emissions. [PDF]

MethodsX, 2023
Manheim DC, Newman S, Yeşiller N, Hanson JL, Guha A.   +4 more
europepmc   +1 more source

Diffusion models for inverse problems

Using diffusion priors to solve inverse problems in imaging have significantly matured over the years. In this chapter, we review the various different approaches that were proposed over the years. We categorize the approaches into the more classic explicit approximation approaches and others, which include variational inference, sequential monte carlo,
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye   +2 more
openaire   +2 more sources

Low-Coherence Interferometric Imaging: Solution of the One-Dimensional Inverse Scattering Problem [PDF]

, 2004
Optical coherence tomography (OCT) is a non-invasive imaging technique based on the use of light sources exhibiting a low degree of coherence. Low coherence interferometric microscopes have been successful in producing internal images of thin pieces of ...
Chaubell, Mario Julián
core   +1 more source

Pendulum Model-Less Inversion

Journal of Robotics and Mechatronics
This paper presents a novel approach to inverted pendulum control and unstable equilibrium angle (UEA) estimation through a proposed velocity suppression mechanism implemented in a single code. The key innovation lies in achieving control using solely an integral controller whose parameters satisfy a specific velocity suppression ...
Hideki Toda, Masahiro Sekimoto, Junji Ohyama, Hiroaki Kawamoto   +3 more
openaire   +1 more source

Model Inversion Networks for Model-Based Optimization

CoRR, 2019
In this work, we aim to solve data-driven optimization problems, where the goal is to find an input that maximizes an unknown score function given access to a dataset of inputs with corresponding scores. When the inputs are high-dimensional and valid inputs constitute a small subset of this space (e.g., valid protein sequences or valid natural images),
Aviral Kumar, Sergey Levine
openaire   +3 more sources