Publications associées à Fixed-point iteration

A pathwise approach to the extinction of branching processes with countably many types

We consider the extinction events of Galton-Watson processes with countably infinitely many types. In particular, we construct truncated and augmented Galton-Watson processes with finite but increasing sets of types. A pathwise approach is then used to sho ...

ELSEVIER SCIENCE BV2019

On the convergence of stochastic primal-dual hybrid gradient

Volkan Cevher, Ahmet Alacaoglu

In this paper, we analyze the recently proposed stochastic primal-dual hybrid gradient (SPDHG) algorithm and provide new theoretical results. In particular, we prove almost sure convergence of the iterates to a solution and linear convergence with standard ...

2019

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

An accurate daylighting simulation can potentially improve the quality of pre-planing buildings and regulating daylighting to achieve the goal of green buildings. However, standard sky models can hardly reproduce real skies in real-time for a specific loca ...

Elsevier2019

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Yujie Wu

An accurate daylighting simulation can potentially improve the quality of pre-planing buildings and regulating daylighting to achieve the goal of green buildings. However, standard sky models can hardly reproduce real skies in real-time for a specific loca ...

2019

Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks

Jean-Yves Le Boudec, Mario Paolone, Andrey Bernstein, Cong Wang

We present explicit sufficient conditions that guarantee the existence and uniqueness of the load-flow solution for distribution networks with a generic topology (radial or meshed) modeled with positive sequence equivalents. In the problem, we also account ...

2018

Geometry-aware Deep Network for Single-Image Novel View Synthesis

Mathieu Salzmann

This paper tackles the problem of novel view synthesis from a single image. In particular, we target real-world scenes with rich geometric structure, a challenging task due to the large appearance variations of such scenes and the lack of simple 3D models ...

IEEE2018

Training DNNs with Hybrid Block Floating Point

Babak Falsafi, Martin Jaggi, Tao Lin, Mario Paulo Drumond Lages De Oliveira

The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing datacenter operators to adopt domain-specific accelerators to train them. These accelerators typically employ densely packed full-precision floating-point arithmetic t ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Walking, weak first-order transitions, and complex CFTs

Victor Gorbenko, Bernardo Zan

We discuss walking behavior in gauge theories and weak first-order phase transitions in statistical physics. Despite appearing in very different systems (QCD below the conformal window, the Potts model, deconfined criticality) these two phenomena both impl ...

SPRINGER2018

Training DNNs with Hybrid Block Floating Point

Babak Falsafi, Martin Jaggi, Tao Lin, Mario Paulo Drumond Lages De Oliveira

The wide adoption of DNNs has given birth to unrelenting computing requirements, forcing datacenter operators to adopt domain-specific accelerators to train them. These accelerators typically employ densely packed full-precision floating-point arithmetic t ...

2018

MATHICSE Technical Report : Multi space reduced basis preconditioners for parametrized Stokes equations

Alfio Quarteroni, Simone Deparis, Andrea Manzoni, Niccolò Dal Santo

In this work we introduce a two-level preconditioner for the efficient solution of large scale saddlepoint linear systems arising from the finite element (FE) discretization of parametrized Stokes equations.The proposed preconditioner extends the Multi Spa ...

MATHICSE2018

Fixed-point iteration

A pathwise approach to the extinction of branching processes with countably many types

On the convergence of stochastic primal-dual hybrid gradient

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks

Geometry-aware Deep Network for Single-Image Novel View Synthesis

Training DNNs with Hybrid Block Floating Point

Walking, weak first-order transitions, and complex CFTs

Training DNNs with Hybrid Block Floating Point

MATHICSE Technical Report : Multi space reduced basis preconditioners for parametrized Stokes equations

Graph Chatbot

Chattez avec Graph Search

A pathwise approach to the extinction of branching processes with countably many types

Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Geometry-aware Deep Network for Single-Image Novel View Synthesis

Training DNNs with Hybrid Block Floating Point

MATHICSE Technical Report : Multi space reduced basis preconditioners for parametrized Stokes equations

On the convergence of stochastic primal-dual hybrid gradient

Daylighting simulation for external Venetian blinds based on HDR sky luminance monitoring with matrix algebraic approach

Training DNNs with Hybrid Block Floating Point

Walking, weak first-order transitions, and complex CFTs