Publications associées à Modèle probit

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire, Thomas Gasos, Prateek Bansal

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

2023

Public R&D funding and new regional specialisations: The contingent role of technological relatedness

It is widely acknowledged that new technological specialisations of regions are to a large extent driven by the recombination of existing knowledge and capabilities. Yet, little is known about the role of policy in this process. To address this, we analyse ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2022

Mesh d-refinement: a data-based computational framework to account for complex material response

Jean-François Molinari, Antonio Joaquin Garcia Suarez, Sacha Zenon Wattel

Model-free data-driven computational mechanics (DDCM) is a new paradigm for simulations in solid mechanics. The modeling step associated to the definition of a material constitutive law is circumvented through the introduction of an abstract phase space in ...

2022

Robust Binary Models by Pruning Randomly-initialized Networks

Sabine Süsstrunk, Mathieu Salzmann, Chen Liu, Ziqi Zhao

Robustness to adversarial attacks was shown to require a larger model capacity, and thus a larger memory footprint. In this paper, we introduce an approach to obtain robust yet compact models by pruning randomly-initialized binary networks. Unlike adversar ...

2022

Obstacles and opportunities for reducing dwelling size to shrink the environmental footprint of housing: Tenants' residential preferences and housing choice

Claudia Rebeca Binder Signer, Anna Pagani, Claudine Bettina Karlen

The environmental footprint of housing is greatly influenced by the size of a dwelling. Housing size is the result of households' dwelling selections; accordingly, it is critical to consider residential preferences and choices to inform efforts towards hou ...

SPRINGER2021

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire, Thomas Gasos, Prateek Bansal

Models that are robust to aberrant choice behaviour have received limited attention in discrete choice analysis. In this paper, we analyse two robust alternatives to the multinomial probit (MNP) model. Both alternative models belong to the family of robit ...

EPFL2020

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

Ksenia Briling, Alberto Fabrizio, Andrea Grisafi

Machine-learning in quantum chemistry is currently booming, with reported applications spanning all molecular properties from simple atomization energies to complex mathematical objects such as the many-body wavefunction. Due to its central role in density ...

2020

Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

Robert West, Eda Bayram, Alberto Garcia Duran

The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes possess numerical attributes, whose values are often missing. Our approach, d ...

2020

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Modèle probit

Reliable data-driven decision-making through optimal transport

Robust discrete choice models with t-distributed kernel errors

Public R&D funding and new regional specialisations: The contingent role of technological relatedness

Mesh d-refinement: a data-based computational framework to account for complex material response

Robust Binary Models by Pruning Randomly-initialized Networks

Obstacles and opportunities for reducing dwelling size to shrink the environmental footprint of housing: Tenants' residential preferences and housing choice

Robust discrete choice models with t-distributed kernel errors

Simultaneous autoregressive models for spatial extremes

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

Graph Chatbot

Chattez avec Graph Search

Robust discrete choice models with t-distributed kernel errors

Public R&D funding and new regional specialisations: The contingent role of technological relatedness

Reliable data-driven decision-making through optimal transport

Mesh d-refinement: a data-based computational framework to account for complex material response

Robust Binary Models by Pruning Randomly-initialized Networks

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

Obstacles and opportunities for reducing dwelling size to shrink the environmental footprint of housing: Tenants' residential preferences and housing choice

Simultaneous autoregressive models for spatial extremes

Robust discrete choice models with t-distributed kernel errors

Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation