Publications related to Characterizing in-text citations in scientific articles: A large-scale analysis

Making Computer Vision Models Robust and Adaptive

Visual perception is indispensable for many real-world applications. However, perception models deployed in the real world will encounter numerous and unpredictable distribution shifts, for example, changes in geographic locations, motion blur, and adverse ...

EPFL2023

Federated Learning under Covariate Shifts with Generalization Guarantees

Volkan Cevher, Grigorios Chrysos, Fanghui Liu, Thomas Michaelsen Pethick

This paper addresses intra-client and inter-client covariate shifts in federated learning (FL) with a focus on the overall generalization performance. To handle covariate shifts, we formulate a new global model training paradigm and propose Federated Impor ...

2023

Scientific rewards for biomedical specialization are large and persistent

Gaétan Jean A de Rassenfosse, Orion B Penner, Kyle William Higham

Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher's impact and career. In particular, the extent to which one specializes within their chosen fields likely ...

BMC2022

Feature distribution learning by passive exposure

David Pascucci, Gizay Ceylan

Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...

ELSEVIER2022

Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

\alpha

. Two ...

EPFL2021

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

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani

We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst ...

2020

The Intellectual Organisation of History

Giovanni Colavizza

A tradition of scholarship discusses the characteristics of different areas of knowledge, in particular after modern academia compartmentalized them into disciplines. The academic approach is often put to question: are there two or more cultures? Is an eve ...

EPFL2018

The references of references: a method to enrich humanities library catalogs with citation data

Frédéric Kaplan, Matteo Romanello, Giovanni Colavizza

The advent of large-scale citation indexes has greatly impacted the retrieval of scientific information in several domains of research. The humanities have largely remained outside of this shift, despite their increasing reliance on digital means for infor ...

Springer Verlag2017

TimeRank: A dynamic approach to rate scholars using citations

Giovanni Colavizza, Massimo Franceschet

Rating has become a common practice of modern science. No rating system can be considered as final, but instead several approaches can be taken, which magnify different aspects of the fabric of science. We introduce an approach for rating scholars which us ...

Elsevier Science Bv2017

Characterizing in-text citations in scientific articles: A large-scale analysis

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Making Computer Vision Models Robust and Adaptive

Federated Learning under Covariate Shifts with Generalization Guarantees

Scientific rewards for biomedical specialization are large and persistent

Feature distribution learning by passive exposure

Multiple testing with test statistics following heavy-tailed distributions

The organisation of science: topics, incentives and funding.

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

The Intellectual Organisation of History

The references of references: a method to enrich humanities library catalogs with citation data

TimeRank: A dynamic approach to rate scholars using citations

Feature distribution learning by passive exposure

Making Computer Vision Models Robust and Adaptive

The organisation of science: topics, incentives and funding.

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Federated Learning under Covariate Shifts with Generalization Guarantees

Scientific rewards for biomedical specialization are large and persistent

Multiple testing with test statistics following heavy-tailed distributions

The Intellectual Organisation of History

TimeRank: A dynamic approach to rate scholars using citations

The references of references: a method to enrich humanities library catalogs with citation data