Publications related to L (p) error estimates for approximation by Sobolev splines and Wendland functions on a"e (d)

Stable parameterization of continuous and piecewise-linear functions

Michaël Unser, Alexis Marie Frederic Goujon, Joaquim Gonçalves Garcia Barreto Campos

Rectified-linear-unit (ReLU) neural networks, which play a prominent role in deep learning, generate continuous and piecewise-linear (CPWL) functions. While they provide a powerful parametric representation, the mapping between the parameter and function s ...

2023

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Nicolas Clairis

The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/d ...

Oxford2023

Multiplicative chaos of the Brownian loop soup

Antoine Pierre François Jego, Titus Lupu

We construct a measure on the thick points of a Brownian loop soup in a bounded domain D

D

of the plane with given intensity theta>0

\theta >0

, which is formally obtained by exponentiating the square root of its occupation field. The measure is construct ...

WILEY2023

Neural Energy Casimir Control for Port-Hamiltonian Systems

Giancarlo Ferrari Trecate, Muhammad Zakwan, Liang Xu

The energy Casimir method is an effective controller design approach to stabilize port-Hamiltonian systems at a desired equilibrium. However, its application relies on the availability of suitable Casimir and Lyapunov functions, whose computation are gener ...

2022

Finite Littlestone Dimension Implies Finite Information Complexity

Michael Christoph Gastpar, Aditya Pradeep, Ido Nachum

We prove that every online learnable class of functions of Littlestone dimension d admits a learning algorithm with finite information complexity. Towards this end, we use the notion of a globally stable algorithm. Generally, the information complexity of ...

2022

Derivative voltammetry: a simple tool to probe reaction selectivity in photoelectrochemical cells

Kevin Sivula, Florent Alexandre Boudoire, Nukorn Plainpan

We demonstrate the use of the derivative voltammogram method to predict the selectivity of the photo-driven oxidation of 5-hydroxymethylfurfural (HMF) on a WO3 photoanode as a function of applied potential using only information obtained from the linear sw ...

2022

Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost

Adam Teodor Polak

We study the basic problem of assigning memoryless workers to tasks with dynamically changing demands. Given a set of w workers and a multiset T ⊆ [t] of |T| = w tasks, a memoryless worker-task assignment function is any function ϕ that assigns the workers ...

Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik2022

Une approche computationnelle du cadastre napoléonien de Venise

Frédéric Kaplan, Isabella Di Lenardo, Raphaël Barman, Federica Pardini

At the beginning of the 19th century, the Napoleonic administration introduced a new standardised description system to give an objective account of the form and functions of the city of Venice. The cadastre, deployed on a European scale, was offering for ...

2021

Understanding the footprint of human needs: housing functions as the missing link

Claudia Rebeca Binder Signer, Anna Pagani

To respond to the need for a drastic reduction in the environmental footprint of housing, the residential sector must meet a wide range of requirements. The opportunities for architecture are innumerable but cannot be grasped by the discipline alone. Housi ...

2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

Motivated by applications in shared mobility, we address the problem of allocating a group of agents to a set of resources to maximize a cumulative welfare objective. We model the welfare obtainable from each resource as a monotone DR-submodular function w ...

PMLR2021

L (p) error estimates for approximation by Sobolev splines and Wendland functions on a"e (d)

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Stable parameterization of continuous and piecewise-linear functions

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Multiplicative chaos of the Brownian loop soup

Neural Energy Casimir Control for Port-Hamiltonian Systems

Finite Littlestone Dimension Implies Finite Information Complexity

Derivative voltammetry: a simple tool to probe reaction selectivity in photoelectrochemical cells

Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost

Une approche computationnelle du cadastre napoléonien de Venise

Understanding the footprint of human needs: housing functions as the missing link

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Multiplicative chaos of the Brownian loop soup

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Neural Energy Casimir Control for Port-Hamiltonian Systems

Stable parameterization of continuous and piecewise-linear functions

Finite Littlestone Dimension Implies Finite Information Complexity

Derivative voltammetry: a simple tool to probe reaction selectivity in photoelectrochemical cells

Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost

Une approche computationnelle du cadastre napoléonien de Venise

Understanding the footprint of human needs: housing functions as the missing link

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems