Publications related to Mixed-member majoritarian representation

Model agnostic methods meta-learn despite misspecifications

Nicolas Henri Bernard Flammarion, Oguz Kaan Yüksel, Etienne Patrice Boursier

Due to its empirical success on few shot classification and reinforcement learning, meta-learning recently received a lot of interest. Meta-learning leverages data from previous tasks to quickly learn a new task, despite limited data. In particular, model ...

2023

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

A novel approach for robust controller synthesis, which models uncertainty as an elliptical set, is proposed in the paper. Given a set of frequency response functions of linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems, the approac ...

2023

Linear and nonlinear excitation of TAE modes by external electromagnetic perturbations using ORB5

Laurent Villard, Emmanuel Lanti, Alberto Bottino, Mohsen Sadr

The excitation of toroidicity-induced Alfven eigenmodes (TAEs) using prescribed external electromagnetic perturbations (hereafter 'antenna') acting on a confined toroidal plasma, as well as its nonlinear couplings to other modes in the system, is studied. ...

IOP Publishing Ltd2022

MulT: An End-to-End Multitask Learning Transformer

Sabine Süsstrunk, Mathieu Salzmann, Tong Zhang, Deblina Bhattacharjee

We propose an end-to-end Multitask Learning Transformer framework, named MulT, to simultaneously learn multiple high-level vision tasks, including depth estimation, semantic segmentation, reshading, surface normal estimation, 2D keypoint detection, and edg ...

2022

Frequency dependence in GW made simple using a multipole approximation

Tommaso Chiarotti, Andrea Ferretti

In the GW approximation, the screened interaction W is a nonlocal and dynamical potential that usually has a complex frequency dependence. A full description of such a dependence is possible but often computationally demanding. For this reason, it is still ...

AMER PHYSICAL SOC2021

A Shared Representation for Photorealistic Driving Simulators

Alexandre Massoud Alahi, Saeed Saadatnejad, Taylor Ferdinand Mordan, Siyuan Li

A powerful simulator highly decreases the need for real-world tests when training and evaluating autonomous vehicles. Data-driven simulators flourished with the recent advancement of conditional Generative Adversarial Networks (cGANs), providing high-fidel ...

2021

Two-Step Thermal Annealing: An Effective Route for 15 % Efficient Quasi-2D Perovskite Solar Cells

Mohammad Khaja Nazeeruddin, Giulia Grancini, Valentin Ianis Emmanuel Queloz, Albertus Adrian Sutanto, Giorgio Schileo, Valentino Romano

Low-dimensional perovskites (LDP) are nowadays recognized as promising materials for the realization of highly performing photovoltaic cells. However, issues related to film morphology, composition, crystal quality and material homogeneity limit the device ...

WILEY-V C H VERLAG GMBH2021

Mixed scalar-current bootstrap in three dimensions

Alessandro Vichi, Marten Jan Reehorst

We study the mixed system of correlation functions involving a scalar field charged under a global U(1) symmetry and the associated conserved spin-1 current J(mu). Using numerical bootstrap techniques we obtain bounds on new observables not accessible in t ...

SPRINGER2020

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Mixed-member majoritarian representation

Model agnostic methods meta-learn despite misspecifications

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Linear and nonlinear excitation of TAE modes by external electromagnetic perturbations using ORB5

MulT: An End-to-End Multitask Learning Transformer

Frequency dependence in GW made simple using a multipole approximation

A Shared Representation for Photorealistic Driving Simulators

Hierarchical Control of Islanded Microgrids with Flexible Structures

Two-Step Thermal Annealing: An Effective Route for 15 % Efficient Quasi-2D Perovskite Solar Cells

Stick-Slip in Peeling of Soft Adhesives: a Finite Element Model Using Reversible Cohesive Elements

Mixed scalar-current bootstrap in three dimensions

Graph Chatbot

Chat with Graph Search

Model agnostic methods meta-learn despite misspecifications

Frequency dependence in GW made simple using a multipole approximation

Stick-Slip in Peeling of Soft Adhesives: a Finite Element Model Using Reversible Cohesive Elements

A Shared Representation for Photorealistic Driving Simulators

Mixed scalar-current bootstrap in three dimensions

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Linear and nonlinear excitation of TAE modes by external electromagnetic perturbations using ORB5

Two-Step Thermal Annealing: An Effective Route for 15 % Efficient Quasi-2D Perovskite Solar Cells

MulT: An End-to-End Multitask Learning Transformer

Hierarchical Control of Islanded Microgrids with Flexible Structures