Publications associées à Empirisme

Hybrid ground-state quantum algorithms based on neural Schrödinger forging

Entanglement forging based variational algorithms leverage the bipartition of quantum systems for addressing ground-state problems. The primary limitation of these approaches lies in the exponential summation required over the numerous potential basis stat ...

Amer Physical Soc2024

SIMPLE HIERARCHICAL PLANNING WITH DIFFUSION

Caglar Gulcehre, Chang Chen

Diffusion-based generative methods have proven effective in modeling trajectories with offline datasets. However, they often face computational challenges and can falter in generalization, especially in capturing temporal abstractions for long- horizon tas ...

2024

Discussion of ‘Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment’, part 2

Mats Julius Stensrud, Aaron Leor Sarvet

Imai et al.(IJGHS) have conducted a timely experiment on evaluating a decision support algorithm. However, we are concerned by their choice of estimands which, even if they appear plausible at first, rely on notions and assumptions for which we cannot ever ...

2023

The strength of surgical knots involves a critical interplay between friction and elastoplasticity

Pedro Miguel Nunes Pereira de Almeida Reis, Paul Johanns, Paul Grandgeorge, Changyeob Baek

Knots are the weakest link in surgical sutures, serving as mechanical ligatures between filaments. Exceeding their safe operational limits can cause fatal complications. The empirical nature of present guidelines calls for a predictive understanding of the ...

AMER ASSOC ADVANCEMENT SCIENCE2023

Accurate equilibrium-based interlaminar stress recovery for isogeometric laminated composite Kirchhoff plates

Pablo Antolin Sanchez, Alessandro Reali

Despite the accelerated deployment of laminated composites in a wide variety of markets due to their peculiar engineering features, the design of those materials is often restrained by the lack of cost-efficient modeling techniques. In fact, the existing s ...

ELSEVIER SCI LTD2021

Consensus Control for Decentralized Deep Learning

Martin Jaggi, Tao Lin, Sebastian Urban Stich, Anastasiia Koloskova, Lingjing Kong

Decentralized training of deep learning models enables on-device learning over networks, as well as efficient scaling to large compute clusters. Experiments in earlier works reveal that, even in a data-center setup, decentralized training often suffers fro ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2021

A new empirical challenge for local theories of consciousness

Adrien Christophe Doerig

Local theories of consciousness state that one is conscious of a feature if it is adequately represented and processed in sensory brain areas, given some background conditions. We challenge the core prediction of local theories based on long-lasting postdi ...

2021

The organisation of science: topics, incentives and funding

Omar Ballester Gonzalez

Ever since the links between the development of new technologies and economic growth became evident, researchers have attempted to study how the creation of knowledge fosters progress. If pushing the frontier of knowledge has an impact on progress and well ...

EPFL2020

The politics of participation in transdisciplinary sustainability research: an analysis of knowledge, values and power at the science-society interface

Livia Bianca Fritz

Problem. In the field of sustainability, scholars and policy-makers herald the transformative power of participation in transdisciplinary (TD) research. The increasing use of TD in science policy is rooted in the expectation that involving practitioners in ...

EPFL2020

Tracing power in transdisciplinary sustainability research: an exploration

Livia Bianca Fritz, Franziska Meinherz

Power is involved when researchers and practitioners work together in transdisciplinary sustainability research. Among other things, this has implications regarding who gets to decide which research questions are dealt with and which partners are involved, ...

2020

The Learnability of the Grammar of Jazz: Bayesian Inference of Hierarchical Structures in Harmony

Daniel Harasim

Musical grammar describes a set of principles that are used to understand and interpret the structure of a piece according to a musical style. The main topic of this study is grammar induction for harmony --- the process of learning structural principles f ...

EPFL2020

Imagining with and in Space: Structural support as a cognitive device in architectural education

Dieter Dietz, Julien Lafontaine Carboni, Aurélie Dupuis, Darío Negueruela Del Castillo

In this paper, we will argue that the structure of the spatio-temporal pedagogical set-up and the elaboration of an evolutionary support for operations of cognition and imagination are powerful in transforming learning cultures. We develop this argument in ...

2020

Participation-effect pathways in transdisciplinary sustainability research: An empirical analysis of researchers’ and practitioners’ perceptions using a systems approach

Claudia Rebeca Binder Signer, Livia Bianca Fritz, Thorsten Schilling

In sustainability research, transdisciplinary (TD) approaches that involve practitioners in the research process have emerged as promising tools for enhancing real-world knowledge and engendering societal change. However, empirical insights into how such p ...

2019

Resilience and agency in mature sustainability transitions. Theoretical conceptualisation and empirical analysis of actor- & system-level dynamics in sociotechnical energy systems

Susan Marie Mühlemeier

In Switzerland, Germany and Austria, as in many European countries, the transition of the energy sector towards more sustainability is a long-term transition process, unfolding since decades. It however only reached the regime level in recent years and the ...

EPFL2019

From research to sustainability transitions - Identifying pathways to societal effects

Thorsten Schilling

Problem statement. The rise of sustainability as a guiding norm for societal development also affects knowledge production in science. Particularly in the context of sustainability science, researchers are increasingly confronted with claims for creating s ...

EPFL2019

The Deformation Capacity of Lap Splices in RC Walls: From Experimental Testing to Numerical Modelling

Danilo Tarquini

Field observations as well as experimental tests have shown that both the strength and displacement capacity of reinforced concrete (RC) members might be significantly reduced by the presence of lap splices. This degradation applies in particular if the lo ...

EPFL2019

Construction of Resilience: Divergence and Convergence of Theoretical Models. A Conceptual and Empirical Analysis

Claudia Rebeca Binder Signer

The concept of resilience has been applied within a wide spectrum of disciplines and has become increasingly relevant for interdisciplinary research. The interdisciplinary use of the concept could be linked to the fact that the conceptualization of resilie ...

2017

Resilienzkonstruktionen: Divergenz und Konvergenz von Theoriemodellen. Eine konzeptionell-empirische Analyse

Claudia Rebeca Binder Signer

The concept of resilience has been applied within a wide spectrum of disciplines and has become increasingly relevant for interdisciplinary research. The interdisciplinary use of the concept can be linked to the fact that the conceptualization of resilienc ...

2017

Covariations in ecological scaling laws fostered by community dynamics

Andrea Rinaldo, Andrea Giometto, Silvia Zaoli, Amos Maritan

Scaling laws in ecology, intended both as functional relationships among ecologically relevant quantities and the probability distributions that characterize their occurrence, have long attracted the interest of empiricists and theoreticians. Empirical evi ...

2017

How Do In-video Interactions Reflect Perceived Video Difficulty?

Pierre Dillenbourg, Patrick Jermann, Lukasz Kidzinski, Nan Li

Lecture videos are the major components in MOOCs. It is common for MOOC analytics researchers to model video behaviors in order to identify at-risk students. Much of the work emphasized prediction. However, we have little empirical understanding about thes ...

P.A.U. Education2015