Results 71 to 80 of about 24,975 (207)
Information Geometry of κ-Exponential Families: Dually-Flat, Hessian and Legendre Structures
Entropy, 2018 In this paper, we present a review of recent developments on the κ -deformed statistical mechanics in the framework of the information geometry.
Antonio M. Scarfone +2 more
doaj +1 more source
FlexMat, EarlyView.Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
Selfsimilar Hessian and conformally K��hler manifolds
, 2020 Let $(M,\nabla,g)$ be a Hessian manifold. Then the total space of the tangent bundle $TM$ can be endowed with a K hler structure $\left(I,{\cal g}\right)$. We say that a homogeneous Hessian manifold is a Hessian manifold $(M,\nabla,g)$ endowed with a transitive action of a group $G$ preserving $\nabla$ and $g$.
openaire +2 more sources
A Novel Approach to Energy Management in Electric Steelworks
steel research international, EarlyView.Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
SPECIAL RICCI–HESSIAN EQUATIONS ON KÄHLER MANIFOLDS
Journal of the Australian Mathematical SocietyAbstract Special Ricci–Hessian equations on Kähler manifolds $(M,g)$ , as defined by Maschler [‘Special Kähler–Ricci potentials and Ricci solitons’,
ANDRZEJ DERDZINSKI, PAOLO PICCIONE
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Vertical Deformation Mapping: Steering Optimiser Toward Flat Minima
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Standard deep learning optimisation is typically conducted on shape‐fixed loss surfaces. However, shape‐fixed loss surfaces may impede optimisers from reaching flat regions closely associated with strong generalisation. In this work, we propose a new paradigm named deformation mapping to deform the loss surface during optimisation.
Liangming Chen +4 more
wiley +1 more source
Zeroth-Order Riemannian Adaptive Regularized Proximal Quasi-Newton Optimization Method
AxiomsRecently, the adaptive regularized proximal quasi-Newton (ARPQN) method has demonstrated a strong performance in solving composite optimization problems over the Stiefel manifold.
Yinpu Ma +3 more
doaj +1 more source
Hessian equations on closed Hermitian manifolds [PDF]
Pacific Journal of Mathematics, 2017 26 ...
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Financial Climate‐Risk Measurement, Impact Funds, and Green Transitions
Journal of Accounting Research, EarlyView.ABSTRACT Regulators are contemplating or mandating precise measurement of financial climate‐risk exposure to promote sustainable investments. We show that such mandates can be counterproductive in the presence of social funds that catalyze change by subsidizing the adoption of cleaner production technologies.
VOLKER LAUX, LUCAS MAHIEUX
wiley +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Computer 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