Results 231 to 240 of about 182,632 (325)
Decision, Inference, and Information: Formal Equivalences Under Active Inference. [PDF]
Sweeney P, Ruiz-Serra J, Harré MS.
europepmc +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
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
Inflation expectations and time variations in the oil price pass‐through
Abstract Previous literature suggests that the pass‐through of oil price shocks to inflation rates became weaker since the 1970s. I use a time‐varying parameter VAR to show that this trend has recently been reversed with headline and core inflation rates responding more sensitive to oil price shocks. Based on a counterfactual analysis, I offer evidence
Daniel Gründler
wiley +1 more source
Application of seasonal-adjusted hybrid models for forecasting Discomfort Index in a heat-prone region of Bangladesh. [PDF]
Binte Ahmed A +5 more
europepmc +1 more source
Abstract We investigate the effect of logic multiplicity on organizational performance and hypothesize that logics may impact performance in view of their sheer number. We further propose that the market logic embedded in the for‐profit legal form can positively moderate the impact of multiple logics on performance.
Francesca Capo +3 more
wiley +1 more source
Unifying machine learning and interpolation theory via interpolating neural networks. [PDF]
Park C +11 more
europepmc +1 more source
From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models
ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter +2 more
wiley +1 more source

