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Institution

University of Los Andes

EducationBogotá, Colombia
About: University of Los Andes is a education organization based out in Bogotá, Colombia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 17616 authors who have published 25555 publications receiving 413463 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors re-examine the status of the weak value of a quantum mechanical observable as an objective physical concept, addressing its physical interpretation and general domain of applicability.
Abstract: We re-examine the status of the weak value of a quantum mechanical observable as an objective physical concept, addressing its physical interpretation and general domain of applicability We show that the weak value can be regarded as a definite mechanical effect on a measuring probe specifically designed to minimize the back reaction on the measured system We then present an interesting framework for general measurement conditions (where the back reaction on the system may not be negligible) in which the measurement outcomes can still be interpreted as quantum averages of weak values We show that in the classical limit, there is a direct correspondence between quantum averages of weak values and posterior expectation values of classical dynamical properties according to the classical inference framework

112 citations

Journal ArticleDOI
TL;DR: In this paper, the authors argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI.
Abstract: In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI. Intuitively, the purpose of providing an explanation of a model or a decision is to make it understandable to its stakeholders. But without a previous grasp of what it means to say that an agent understands a model or a decision, the explanatory strategies will lack a well-defined goal. Aside from providing a clearer objective for XAI, focusing on understanding also allows us to relax the factivity condition on explanation, which is impossible to fulfill in many machine learning models, and to focus instead on the pragmatic conditions that determine the best fit between a model and the methods and devices deployed to understand it. After an examination of the different types of understanding discussed in the philosophical and psychological literature, I conclude that interpretative or approximation models not only provide the best way to achieve the objectual understanding of a machine learning model, but are also a necessary condition to achieve post hoc interpretability. This conclusion is partly based on the shortcomings of the purely functionalist approach to post hoc interpretability that seems to be predominant in most recent literature.

112 citations

Book ChapterDOI
08 Sep 2018
TL;DR: In this paper, the authors address the problem of segmenting an object given a natural language expression that describes it and propose a method that integrates these two insights in order to fully exploit the recursive nature of language.
Abstract: We address the problem of segmenting an object given a natural language expression that describes it. Current techniques tackle this task by either (i) directly or recursively merging linguistic and visual information in the channel dimension and then performing convolutions; or by (ii) mapping the expression to a space in which it can be thought of as a filter, whose response is directly related to the presence of the object at a given spatial coordinate in the image, so that a convolution can be applied to look for the object. We propose a novel method that integrates these two insights in order to fully exploit the recursive nature of language. Additionally, during the upsampling process, we take advantage of the intermediate information generated when downsampling the image, so that detailed segmentations can be obtained. We compare our method against the state-of-the-art approaches in four standard datasets, in which it surpasses all previous methods in six of eight of the splits for this task.

112 citations

Journal ArticleDOI
TL;DR: In order to demonstrate that the circulating T. cruzi I isolates in Colombia can be classified in the four proposed haplotypes, specific primers were designed on polymorphic regions of the miniexon gene's intergenic sequences that allowed the molecular characterization of 33 Colombian isolates.

112 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2173 moreInstitutions (148)
TL;DR: In this paper, the authors presented a measurement of the Z boson differential cross section in rapidity and transverse momentum using a data sample of pp collision events at a centre-of-mass energy √s = 8 TeV, corresponding to an integrated luminosity of 19.7 fb^(−1).

112 citations


Authors

Showing all 17748 results

NameH-indexPapersCitations
Alexander Belyaev1421895100796
Sarah Catherine Eno1411645105935
Mitchell Wayne1391810108776
Kaushik De1391625102058
Pierluigi Paolucci1381965105050
Randy Ruchti1371832107846
Gabor Istvan Veres135134996104
Raymond Brock135146897859
Harrison Prosper1341587100607
J. Ellison133139292416
Gyorgy Vesztergombi133144494821
Andrew Brandt132124694676
Scott Snyder131131793376
Shuai Liu129109580823
C. A. Carrillo Montoya128103378628
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022205
20211,504
20201,645
20191,563
20181,599