Publications related to Affine combination

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Jan Sickmann Hesthaven, Mariella Kast, Mengwu Guo

We propose a non-intrusive reduced basis (RB) method for parametrized nonlinear partial differential equations (PDEs) that leverages models of different accuracy. The method extracts parameter locations from a collection of low-fidelity (LF) snapshots for ...

MATHICSE2019

Compute–Forward Multiple Access (CFMA): Practical Implementations

Michael Christoph Gastpar, Sung Hoon Lim, Jingge Zhu, Erixhen Sula, Adriano Pastore

We present a practical strategy that aims to attain rate points on the dominant face of the multiple access channel capacity using a standard low complexity decoder. This technique is built upon recent theoretical developments of Zhu and Gastpar on compute ...

2019

On compact representations of Voronoi cells of lattices

Matthias Schymura, Christoph Hunkenschröder

In a seminal work, Micciancio & Voulgaris (2010) described a deterministic single-exponential time algorithm for the Closest Vector Problem (CVP) on lattices. It is based on the computation of the Voronoi cell of the given lattice and thus may need exponen ...

SPRINGER INTERNATIONAL PUBLISHING AG2018

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Mario Geiger

We present a convolutional network that is equivariant to rigid body motions. The model uses scalar-, vector-, and tensor fields over 3D Euclidean space to represent data, and equivariant convolutions to map between such representations. These SE(3)-equiva ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

A Joint Typicality Approach to Compute–Forward

Michael Christoph Gastpar, Sung Hoon Lim, Adriano Pastore, Chen Feng

This paper presents a joint typicality framework for encoding and decoding nested linear codes in multi-user networks. This framework provides a new perspective on compute–forward within the context of discrete memoryless networks. In particular, it establ ...

2018

A simple model of mechanical effects to estimate metabolic cost of human walking

Auke Ijspeert, Salman Faraji, Amy Roning Wu

Since the advent of energy measurement devices, gait experiments have shown that energetic economy has a large influence on human walking behavior. However, few cost models have attempted to capture the major energy components under comprehensive walking c ...

Nature Publishing Group2018

Monolithic Fabrication of Silicon Nanowires Bridging Thick Silicon Structures

Davide Sacchetto, Yusuf Leblebici, Oliver Peric, Zuhal Tasdemir

A monolithic process is developed for the fabrication of Si nanowires within thick Si substrates. A combination of anisotropic etch and sidewall passivation is utilized to protect and release Si lines during the subsequent deep etch. An etch depth of 10 mu ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018

A kernel compression scheme for fractional differential equations

Jan Sickmann Hesthaven, Daniel Henri Baffet

The nonlocal nature of the fractional integral makes the numerical treatment of fractional dierential equations expensive in terms of computational eort and memory requirements. In this paper we propose a method to reduce these costs while controlling the ...

Society for Industrial and Applied Mathematics2017

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Affine combination

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Compute–Forward Multiple Access (CFMA): Practical Implementations

On compact representations of Voronoi cells of lattices

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

A Joint Typicality Approach to Compute–Forward

A simple model of mechanical effects to estimate metabolic cost of human walking

Propagation of peeling in finite adhesive pads

Combining the SNR Spectrum with a Cochlear Model

Monolithic Fabrication of Silicon Nanowires Bridging Thick Silicon Structures

A kernel compression scheme for fractional differential equations

Graph Chatbot

Chat with Graph Search

MATHICSE Technical Report: A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems

Compute–Forward Multiple Access (CFMA): Practical Implementations

Combining the SNR Spectrum with a Cochlear Model

On compact representations of Voronoi cells of lattices

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Monolithic Fabrication of Silicon Nanowires Bridging Thick Silicon Structures

A kernel compression scheme for fractional differential equations

A simple model of mechanical effects to estimate metabolic cost of human walking

Propagation of peeling in finite adhesive pads

A Joint Typicality Approach to Compute–Forward