Publications related to Implicit stereotype

Physical Body Orientation Impacts Virtual Navigation Experience and Performance

Olaf Blanke, Emanuela De Falco, Hsin-Ping Wu, Hyukjun Moon

Most human navigation studies in MRI rely on virtual navigation. However, the necessary supine position in MRI makes it fundamentally different from daily ecological navigation. Nonetheless, until now, no study has assessed whether differences in physical ...

Washington2023

Language Model Decoding as Likelihood–Utility Alignment

Boi Faltings, Robert West, Maxime Jean Julien Peyrard, Martin Josifoski, Valentin Hartmann, Debjit Paul, Jiheng Wei, Frano Rajic

A critical component of a successful language generation pipeline is the decoding algorithm. However, the general principles that should guide the choice of a decoding algorithm re- main unclear. Previous works only compare decoding algorithms in narrow sc ...

2023

ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks

Maud Ehrmann, Matteo Romanello, Andreas Oliver Spitz

In the Digital Age, the analysis and exploration of unstructured document collections is of central importance to members of investigative professions, whether they might be scholars, journalists, paralegals, or analysts. In many of their domains, entities ...

ACM Digital Press2022

Identity-Society (Mis)Alignment And The Instrumentalization Of Firm Creation: Creative Destruction And Creative Reconstruction

Marc Gruber, Shirah Eden Foy

Research on founder identity has significantly advanced our understanding of entrepreneurship and related literatures. By departing from the widely held-though often implicit-assumption that culture defines the parameters of identity formation, this paper ...

ACAD MANAGEMENT2022

Towards Understanding Sharpness-Aware Minimization

Nicolas Henri Bernard Flammarion, Maksym Andriushchenko

Sharpness-Aware Minimization (SAM) is a recent training method that relies on worst-case weight perturbations which significantly improves generalization in various settings. We argue that the existing justifications for the success of SAM which are based ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

Nicolas Henri Bernard Flammarion, Etienne Patrice Boursier, Loucas Pillaud-Vivien

The training of neural networks by gradient descent methods is a cornerstone of the deep learning revolution. Yet, despite some recent progress, a complete theory explaining its success is still missing. This article presents, for orthogonal input vectors, ...

2022

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Pascal Fua, Nicolas Talabot, Subeesh Vasu, Artem Lukoianov

Deep implicit surfaces excel at modeling generic shapes but do not always capture the regularities present in manufactured objects, which is something simple geometric primitives are particularly good at. In this paper, we propose a representation combinin ...

2022

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Nicolas Henri Bernard Flammarion, Scott William Pesme, Loucas Pillaud-Vivien

Understanding the implicit bias of training algorithms is of crucial importance in order to explain the success of overparametrised neural networks. In this paper, we study the dynamics of stochastic gradient descent over diagonal linear networks through i ...

2021

Admissibility of Uncertain Injections in Quadratic Algebraic Systems

Jean-Yves Le Boudec, Cong Wang, Eleni Stai

We study the admissibility problem in multivariate algebraic systems, such as ac electrical networks, where the power injection is quadratic in the state. The goal of such systems is to ensure that the state stays in some security set (e.g., magnitudes of ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Implicit stereotype

Physical Body Orientation Impacts Virtual Navigation Experience and Performance

Language Model Decoding as Likelihood–Utility Alignment

Incremental Learning in Diagonal Linear Networks

ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks

Identity-Society (Mis)Alignment And The Instrumentalization Of Firm Creation: Creative Destruction And Creative Reconstruction

Towards Understanding Sharpness-Aware Minimization

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Admissibility of Uncertain Injections in Quadratic Algebraic Systems

Graph Chatbot

Chat with Graph Search

Physical Body Orientation Impacts Virtual Navigation Experience and Performance

Identity-Society (Mis)Alignment And The Instrumentalization Of Firm Creation: Creative Destruction And Creative Reconstruction

Incremental Learning in Diagonal Linear Networks

Admissibility of Uncertain Injections in Quadratic Algebraic Systems

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation

Towards Understanding Sharpness-Aware Minimization

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Language Model Decoding as Likelihood–Utility Alignment

Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs

ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks