Next meeting:
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Total votes:
4
(last vote was 1 year ago)
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Total votes:
2
(last vote was 1 year ago)
Title:
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Total votes:
2
(last vote was 1 year ago)
Author:
Discussion leader:
Nobody volunteered yet
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Total votes:
1
(last vote was 6 months ago)
Author:
Claudio Andrea Manzari, Yujin Park, Benjamin R. Safdi, Inbar Savoray
Discussion leader:
Nobody volunteered yet
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Total votes:
1
(last vote was 1 year ago)
Title:
Author:
David Alesini, Danilo Babusci, Paolo Beltrame, Fabio Bossi, Paolo Ciambrone, Alessandro D'Elia, Daniele Di Gioacchino, Giampiero Di Pirro et al.
Discussion leader:
Nobody volunteered yet
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Total votes:
1
(last vote was 1 year ago)
Title:
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Total votes:
1
(last vote was 1 year ago)
Author:
Florian Goertz, Álvaro Pastor-Gutiérrez
Discussion leader:
Nobody volunteered yet
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Votes: 1
5 years ago Author:
Jeff A. Dror, Harikrishnan Ramani, Tanner Trickle, Kathryn M. Zurek
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5 years ago
Title: “Why Should I Trust You?” Explaining the Predictions of Any Classifier
Link: https://arxiv.org/pdf/1602.04938.pdf
Description: Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take action based on a prediction, or when choosing whether to deploy a new model. Such understanding also provides insights into the model, which can be used to transform an untrustworthy model or prediction into a trustworthy one. In this work, we propose LIME, a novel explanation technique that explains the predictions of any classifier in an interpretable and faithful manner, by learning an interpretable model locally around the prediction. We also propose a method to explain models by presenting representative individual predictions and their explanations in a non-redundant way, framing the task as a submodular optimization problem. We demonstrate the flexibility of these methods by explaining different models for text (e.g. random forests) and image classification.
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Votes: 1
5 years ago
Title:
Dark, Cold, and Noisy: Constraining Secluded Hidden Sectors with
Gravitational Waves
(View PDF)
Author:
Moritz Breitbach, Joachim Kopp, Eric Madge, Toby Opferkuch, Pedro Schwaller
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5 years ago
Title: Dark, Cold, and Noisy: Constraining Secluded Hidden Sectors with Gravitational Waves
Link: https://arxiv.org/pdf/1811.11175.pdf
Description:
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Votes: 2
6 years ago Author:
Guilherme Raposo, Paolo Pani, Miguel Bezares, Carlos Palenzuela, Vitor Cardoso
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Votes: 1
6 years ago
Title:
Binary Black Hole Population Properties Inferred from the First and
Second Observing Runs of Advanced LIGO and Advanced Virgo
(View PDF)
Author:
[The LIGO Scientific Collaboration], [the Virgo Collaboration], B. P. Abbott, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley et al.
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Votes: 1
6 years ago
Title:
GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers
Observed by LIGO and Virgo during the First and Second Observing Runs
(View PDF)
Author:
[The LIGO Scientific Collaboration], [the Virgo Collaboration], B. P. Abbott, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley et al.
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6 years ago
Title: GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo
Link: https://dcc.ligo.org/public/0156/P1800307/005/o2catalog.pdf?fbclid=IwAR1YZvVG4Kt78gzMvoDVfvYeLM5F1w2
Description:
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Votes: 2
6 years ago Author:
Luke M. Butcher
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Votes: 2
6 years ago Author:
Maximiliano Isi, Leo C. Stein
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