Publications associées à Fixed-point iteration

Systematic sensor placement for structural anomaly detection in the absence of damaged states

Jan Sickmann Hesthaven, Caterina Bigoni, Zhenying Zhang

In structural health monitoring (SHM), risk assessment and decision strategies rely primarily on sensor responses. Simulated data can be generated to emulate the monitoring phenomena under different natural operational and environmental conditions in order ...

2020

Recursive evaluation and iterative contraction of N-body equivariant features

Michele Ceriotti, Sergey Pozdnyakov, Jigyasa Nigam

Mapping an atomistic configuration to a symmetrized N-point correlation of a field associated with the atomic positions (e.g., an atomic density) has emerged as an elegant and effective solution to represent structures as the input of machine-learning algo ...

2020

Fast Transformers with Clustered Attention

François Fleuret, Angelos Katharopoulos, Apoorv Vyas

Transformers have been proven a successful model for a variety of tasks in sequence modeling. However, computing the attention matrix, which is their key component, has quadratic complexity with respect to the sequence length, thus making them prohibitivel ...

2020

Efficient Treatment of Correlation Energies at the Basis-Set Limit by Monte Carlo Summation of Continuum States

Ursula Röthlisberger, Justin Villard, Martin Peter Bircher

The calculation of electron correlation is vital for the description of atomistic phenomena in physics, chemistry, and biology. However, accurate wavefunction-based methods exhibit steep scaling and often sluggish convergence with respect to the basis set ...

AMER CHEMICAL SOC2020

Can Tangible Robots Support Children in Learning Handwriting?

Pierre Dillenbourg, Thibault Lucien Christian Asselborn, Barbara Bruno, Ayberk Özgür

A large body of research suggests that robots could indeed be useful for supporting children in learning handwriting. However, few studies have investigated the role and use of tangible robots in teaching handwriting to children with attention and/or visuo ...

2020

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

Ali H. Sayed, Stefan Vlaski, Roula Nassif

This paper considers optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie in low-dimensional ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Hossein Sekhavatmanesh

The distribution network restoration problem is by nature a mixed integer and non-linear optimization problem due to the switching decisions and Optimal Power Flow (OPF) constraints, respectively. The link between these two parts involves logical implicati ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

Ali H. Sayed, Stefan Vlaski, Roula Nassif

Part & x00A0;I of this paper considered optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspace constraints that require the objectives across the network to lie ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Using a Data Driven Approach to Predict Waves Generated by Gravity Driven Mass Flows

Christophe Ancey, Zhenzhu Meng, Yating Hu

When colossal gravity-driven mass flows enter a body of water, they may generate waves which can have destructive consequences on coastal areas. A number of empirical equations in the form of power functions of several dimensionless groups have been develo ...

2020

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Fixed-point iteration

Systematic sensor placement for structural anomaly detection in the absence of damaged states

Recursive evaluation and iterative contraction of N-body equivariant features

Fast Transformers with Clustered Attention

Efficient Treatment of Correlation Energies at the Basis-Set Limit by Monte Carlo Summation of Continuum States

MATHICSE Technical Report : A posteriori error analysis of a local adaptive discontinuous Galerkin method for convection-diffusion-reaction equations

Can Tangible Robots Support Children in Learning Handwriting?

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

Using a Data Driven Approach to Predict Waves Generated by Gravity Driven Mass Flows

Graph Chatbot

Chattez avec Graph Search

MATHICSE Technical Report : A posteriori error analysis of a local adaptive discontinuous Galerkin method for convection-diffusion-reaction equations

Fast Transformers with Clustered Attention

Systematic sensor placement for structural anomaly detection in the absence of damaged states

Recursive evaluation and iterative contraction of N-body equivariant features

Efficient Treatment of Correlation Energies at the Basis-Set Limit by Monte Carlo Summation of Continuum States

A Novel Decomposition Solution Approach for the Restoration Problem in Distribution Networks

Adaptation and Learning Over Networks Under Subspace Constraints & x2014;Part II: Performance Analysis

Adaptation and Learning Over Networks Under Subspace Constraints-Part I: Stability Analysis

Using a Data Driven Approach to Predict Waves Generated by Gravity Driven Mass Flows

Can Tangible Robots Support Children in Learning Handwriting?