Quasiconvex functions play an important role in several branches of applied mathematics (e.g. mathematical programming, minimax theory, games theory, etc.) and of economic analysis (production theory, ...
This article studies an asymptotic framework for conducting inference on parameters of the form ϕ(θ₀), where ϕ is a known directionally differentiable function and θ₀ is estimated by θ̂n. In these ...
Harmonic functions, defined as twice continuously differentiable functions satisfying Laplace’s equation, have long been a subject of intense study in both pure and applied mathematics. Their ...
This repository contains the Python code to reproduce some of the experiments of the Siggraph 2022 paper "Differentiable Signed Distance Function Rendering". Please see the project page for the paper ...
On Applications of Generalized Functions in the Discontinuous Beam Bending Differential Equations ()
This paper discusses the mathematical modeling for the mechanics of solid using the distribution theory of Schwartz to the beam bending differential Equations. This problem is solved by the use of ...
The author establishes a property of supply for a competitive firm: Assuming differentiability of the production frontier, linearly independent price vectors have disjoint image sets under the supply ...
Abstract: Distribution shifts, which often occur in the real world, degrade the accuracy of deep learning systems, and thus improving robustness to distribution shifts is essential for practical ...
Abstract: The visibility (possibly partial) of some image features is crucial to a broad class of visual servoing-based control. In this letter, we consider the setting of image-based visual servoing ...
This is the official repository for the paper "Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport.", by Bernardo Torres, Geoffroy Peeters, and Gaël ...
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