Results 121 to 130 of about 637 (264)

Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan   +3 more
wiley   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li   +3 more
wiley   +1 more source

Bayesian perspective for orientation determination in cryo‐EM with application to structural heterogeneity analysis

open access: yesActa Crystallographica Section D, EarlyView.
A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu   +3 more
wiley   +1 more source

The Consequences of Soil Organic Carbon for Crop Yield, Farm Productivity and Profit

open access: yesAustralian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Crop choices affect soil organic carbon (SOC) stocks, allowing farmers to manipulate the amount of carbon sequestered in the soil over time. This paper examines the private and public benefits of crop rotations that sequester additional carbon across the province of Saskatchewan, Canada using a novel field‐level dataset from the Saskatchewan ...
Devin Allen Serfas
wiley   +1 more source

Corporate Tax System Complexity and Investment Sensitivity to Tax Policy Changes

open access: yesJournal of Accounting Research, EarlyView.
ABSTRACT Effective policymakers must balance the demands of formulating a corporate tax system that raises revenue and spurs economic activity (e.g., investment) while promoting a “level playing field” across firms. Balancing these tradeoffs has likely caused tax systems to become more complex over time, increasing firms’ difficulty in understanding ...
HARALD AMBERGER   +2 more
wiley   +1 more source

Frisch Elasticity, Directed Technical Change, and Automation: A Unified Framework for Wage Polarization and Skill Premium Dynamics

open access: yesBulletin of Economic Research, EarlyView.
ABSTRACT This paper examines how labor‐supply responsiveness, captured by the inverse Frisch elasticity, shapes wage inequality in the presence of directed technical change and automation. We develop a dynamic general equilibrium model with task‐based production, heterogeneous labor, and endogenous R&D.
Óscar Afonso
wiley   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier   +5 more
wiley   +1 more source

EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

open access: yesComputer Graphics Forum, EarlyView.
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad   +5 more
wiley   +1 more source

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