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This https://arxiv.org/abs/2212.06669 has been replaced.
link: https://scholar.google.com/scholar?q=a

A scale of interpretation for likelihood ratios and Bayes factors
Several subjective proposals have been made for interpreting the strength of evidence in likelihood ratios and Bayes factors. I identify a more objective scaling by modelling the effect of evidence on belief. The resulting scale with base 3.73 aligns with previous proposals and may partly explain intuitions.

This https://arxiv.org/abs/2402.11871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions and Models for Planning from Raw Data
Hand-crafted, logic-based state and action representations have been widely used to overcome the intractable computational complexity of long-horizon robot planning problems, including task and motion planning problems. However, creating such representations requires experts with strong intuitions and detailed knowledge about the robot and the tasks it may need to accomplish in a given setting. Removing this dependency on human intuition is a highly active research area. This paper presents t…

On aika puhua gorilloista... Useille lienee tuttu koe, jossa ihmisiä pyydettiin laskemaan koripallopelissä kuinka monta kertaa tiimi syöttelli toisilleen. No, kun ihmiset keskittyivät kovin laskemiseen, aika moni ei huomannut lainkaan, miten pelikentän läpi käveli hyvin näkyvästi gorillapukuun pukeutunut henkilö. (...)
Tänään se oli esillä vastuullisuusasioissa (...)
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Matti Vuori on LinkedIn: The Invisible Gorilla: And Other Ways Our Intuitions Deceive Us
On aika puhua gorilloista... Useille lienee tuttu koe, jossa ihmisiä pyydettiin laskemaan koripallopelissä kuinka monta kertaa tiimi syöttelli toisilleen. No…

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships
Grace Guo, John Stasko, Alex Endert
https://arxiv.org/abs/2404.12952

What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships
Visual augmentations are commonly added to charts and graphs in order to convey richer and more nuanced information about relationships in the data. However, many design spaces proposed for categorizing augmentations were defined in a top-down manner, based on expert heuristics or from surveys of published visualizations. Less well understood are user preferences and intuitions when designing augmentations. In this paper, we address the gap by conducting a design elicitation study, where study …

11.
Un trou noir. Puis se retrouver dans une dimension parallèle après avoir volé en éclats. Ce n'est pas seulement le #futur qui a été aboli. Pas seulement ce qui sera, mais ce qui est et a été. Ce qui, pendant l'essentiel de sa vie, a été si intimement mêlé Š la moindre de ses sensations, de ses intuitions, de ses rêves et de ses pensées, Š chacune de ses secondes, a été la chair vive de s…

Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
Lennart Wachowiak, Andrew Coles, Oya Celiktutan, Gerard Canal
https://arxiv.org/abs/2403.05701

Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
Large language models (LLMs) are increasingly used in robotics, especially for high-level action planning. Meanwhile, many robotics applications involve human supervisors or collaborators. Hence, it is crucial for LLMs to generate socially acceptable actions that align with people's preferences and values. In this work, we test whether LLMs capture people's intuitions about behavior judgments and communication preferences in human-robot interaction (HRI) scenarios. For evaluation, we reproduce …

This https://arxiv.org/abs/2311.10219 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Measuring Moral Dimensions in Social Media with Mformer
The ever-growing textual records of contemporary social issues, often discussed online with moral rhetoric, present both an opportunity and a challenge for studying how moral concerns are debated in real life. Moral foundations theory is a taxonomy of intuitions widely used in data-driven analyses of online content, but current computational tools to detect moral foundations suffer from the incompleteness and fragility of their lexicons and from poor generalization across data domains. In this …

This https://arxiv.org/abs/2309.06488 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Operationally independent events can influence each other in quantum theory
In any known description of nature, two physical systems are considered independent of each other if any action on one of the systems does not change the other system. From our classical intuitions about the world, we further conclude that these two systems are not affecting each other in any possible way, and thus these two systems are causally disconnected or they do not influence each other. Building on this idea, we show that in quantum theory such a notion of classical independence is not …

Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
Lennart Wachowiak, Andrew Coles, Oya Celiktutan, Gerard Canal
https://arxiv.org/abs/2403.05701

Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
Large language models (LLMs) are increasingly used in robotics, especially for high-level action planning. Meanwhile, many robotics applications involve human supervisors or collaborators. Hence, it is crucial for LLMs to generate socially acceptable actions that align with people's preferences and values. In this work, we test whether LLMs capture people's intuitions about behavior judgments and communication preferences in human-robot interaction (HRI) scenarios. For evaluation, we reproduce …

This https://arxiv.org/abs/2401.04244 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Spatio-Temporal Turbulence Mitigation: A Translational Perspective
Recovering images distorted by atmospheric turbulence is a challenging inverse problem due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) algorithms have been proposed, their efficiency and generalization to real-world dynamic scenarios remain severely limited. Building upon the intuitions of classical TM algorithms, we present the Deep Atmospheric TUrbulence Mitigation network (DATUM). DATUM aims to overcome major challenges when transitioning from classic…

From Predictive Algorithms to Automatic Generation of Anomalies
Sendhil Mullainathan, Ashesh Rambachan
https://arxiv.org/abs/2404.10111 https://

From Predictive Algorithms to Automatic Generation of Anomalies
Machine learning algorithms can find predictive signals that researchers fail to notice; yet they are notoriously hard-to-interpret. How can we extract theoretical insights from these black boxes? History provides a clue. Facing a similar problem -- how to extract theoretical insights from their intuitions -- researchers often turned to ``anomalies:'' constructed examples that highlight flaws in an existing theory and spur the development of new ones. Canonical examples include the Allais parad…

This https://arxiv.org/abs/2309.06488 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Operationally independent events can influence each other in quantum theory
In any known description of nature, two physical systems are considered independent of each other if any action on one of the systems does not change the other system. From our classical intuitions about the world, we further conclude that these two systems are not affecting each other in any possible way, and thus these two systems are causally disconnected or they do not influence each other. Building on this idea, we show that in quantum theory such a notion of classical independence is not …

This https://arxiv.org/abs/2402.11871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions and Models for Planning from Raw Data
Hand-crafted, logic-based state and action representations have been widely used to overcome the intractable computational complexity of long-horizon robot planning problems, including task and motion planning problems. However, creating such representations requires experts with strong intuitions and detailed knowledge about the robot and the tasks it may need to accomplish in a given setting. Removing this dependency on human intuition is a highly active research area. This paper presents t…

This https://arxiv.org/abs/2402.11871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions and Models for Planning from Raw Data
Hand-crafted, logic-based state and action representations have been widely used to overcome the intractable computational complexity of long-horizon robot planning problems, including task and motion planning problems. However, creating such representations requires experts with strong intuitions and detailed knowledge about the robot and the tasks it may need to accomplish in a given setting. Removing this dependency on human intuition is a highly active research area. This paper presents t…

From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions and Models for Planning from Raw Data
Naman Shah, Jayesh Nagpal, Pulkit Verma, Siddharth Srivastava
https://arxiv.org/abs/2402.11871

From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions and Models for Planning from Raw Data
Hand-crafted, logic-based state and action representations have been widely used to overcome the intractable computational complexity of long-horizon robot planning problems, including task and motion planning problems. However, creating such representations requires experts with strong intuitions and detailed knowledge about the robot and the tasks it may need to accomplish in a given setting. Removing this dependency on human intuition is a highly active research area. This paper presents t…