Results 11 to 20 of about 793,110 (397)
Digital zero noise extrapolation for quantum error mitigation [PDF]
International Conference on Quantum Computing and Engineering, 2021 Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations without using additional quantum resources.
Giurgica-Tiron, Tudor +4 more
core +2 more sources
Extrapolation of Stationary Random Fields [PDF]
arXiv, 2013 We introduce basic statistical methods for the extrapolation of stationary random fields. For square integrable fields, we set out basics of the kriging extrapolation techniques.
Roth, Stefan +2 more
core +2 more sources
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Optimization [PDF]
arXiv, 2019 Extrapolation is a well-known technique for solving convex optimization and variational inequalities and recently attracts some attention for non-convex optimization. Several recent works have empirically shown its success in some machine learning tasks.
Jin, Rong +4 more
core +2 more sources
Fast Solvers for Unsteady Thermal Fluid Structure Interaction [PDF]
, 2014 We consider time dependent thermal fluid structure interaction. The respective models are the compressible Navier-Stokes equations and the nonlinear heat equation. A partitioned coupling approach via a Dirichlet-Neumann method and a fixed point iteration
Birken, Philipp +3 more
core +2 more sources
Extrapolation of causal effects – hopes, assumptions, and the extrapolator’s circle [PDF]
Journal of Economic Methodology, 2019 I consider recent strategies proposed by econometricians for extrapolating causal effects from experimental to target populations. I argue that these strategies fall prey to the extrapolator’s circle: they require so much knowledge about the target population that the causal effects to be extrapolated can be identified from information about the target
Donal Khosrowi
openaire +4 more sources
Scaling Laws of RoPE-based Extrapolation [PDF]
International Conference on Learning Representations, 2023 The extrapolation capability of Large Language Models (LLMs) based on Rotary Position Embedding is currently a topic of considerable interest. The mainstream approach to addressing extrapolation with LLMs involves modifying RoPE by replacing 10000, the ...
Xiaoran Liu +5 more
semanticscholar +1 more source
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation [PDF]
Neural Information Processing Systems, 2022 Relative positional embeddings (RPE) have received considerable attention since RPEs effectively model the relative distance among tokens and enable length extrapolation.
Ta-Chung Chi +3 more
semanticscholar +1 more source
Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries [PDF]
Computer Vision and Pattern Recognition, 2021 Depth completion starts from a sparse set of known depth values and estimates the unknown depths for the remaining image pixels. Most methods model this as depth interpolation and erroneously interpolate depth pixels into the empty space between ...
S. Imran, Xiaoming Liu, Daniel Morris
semanticscholar +1 more source
Evaluation of the Wind Power Potential in the Northeast of Chad
Revue des Énergies Renouvelables, 2022 Chad has done the study and development of renewable resources a priority in its energy mix. Wind energy is one of the renewable sources that can help Chad to develop rural areas and preserve the environment.
Mahamat Kher Nediguina +4 more
doaj +1 more source
Megachange: The World in 2050; A Contemplation and Critique on the Book Economist’s Futurism [PDF]
پژوهشنامۀ انتقادی متون و برنامههای علوم انسانی, 2022 Futures studies is a strategy and a proactive approach to manage, control, and deal with uncertainty to achieve a desirable future. Trying to visualize the future and eliminate undesirable scenarios are considered as smart approaches, so many documents ...
Farzaneh Mir Shahvelayati +1 more
doaj +1 more source