Tootfinder

This https://arxiv.org/abs/2402.07307 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Self-Consistent Conformal Prediction
In decision-making guided by machine learning, decision-makers may take identical actions in contexts with identical predicted outcomes. Conformal prediction helps decision-makers quantify uncertainty in point predictions of outcomes, allowing for better risk management for actions. Motivated by this perspective, we introduce \textit{Self-Consistent Conformal Prediction} for regression, which combines two post-hoc approaches -- Venn-Abers calibration and conformal prediction -- to provide calib…

>"The FTC also charges that Avast deceived users by claiming that the software would protect consumers’ privacy by blocking third party tracking, but failed to adequately inform consumers that it would sell their detailed, re-identifiable browsing data"
Wow, what a shocker...

Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control
Rogier Dinkla, Sebastiaan Mulders, Tom Oomen, Jan-Willem van Wingerden
https://arxiv.org/abs/2402.14374

Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control
Factors like improved data availability and increasing system complexity have sparked interest in data-driven predictive control (DDPC) methods like Data-enabled Predictive Control (DeePC). However, closed-loop identification bias arises in the presence of noise, which reduces the effectiveness of obtained control policies. In this paper we propose Closed-loop Data-enabled Predictive Control (CL-DeePC), a framework that unifies different approaches to address this challenge. To this end, CL-Dee…

Improving Welding Robotization via Operator Skill Identification, Modeling, and Human-Machine Collaboration: Experimental Protocol Implementation
Antoine L\'enatCETIM, LS2N, LS2N - \'equipe RoMas, LS2N - \'equipe PACCE, Olivier CheminatCETIM, Damien ChablatLS2N, LS2N - \'equipe RoMas, Camilo CharronLS2N, UR2
https://

Improving Welding Robotization via Operator Skill Identification, Modeling, and Human-Machine Collaboration: Experimental Protocol Implementation
The industry of the future, also known as Industry 5.0, aims to modernize production tools, digitize workshops, and cultivate the invaluable human capital within the company. Industry 5.0 can't be done without fostering a workforce that is not only technologically adept but also has enhanced skills and knowledge. Specifically, collaborative robotics plays a key role in automating strenuous or repetitive tasks, enabling human cognitive functions to contribute to quality and innovation. In manual…

Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion
Yingxuan Li, Ryota Hinami, Kiyoharu Aizawa, Yusuke Matsui
https://arxiv.org/abs/2404.13993

Zero-Shot Character Identification and Speaker Prediction in Comics via Iterative Multimodal Fusion
Recognizing characters and predicting speakers of dialogue are critical for comic processing tasks, such as voice generation or translation. However, because characters vary by comic title, supervised learning approaches like training character classifiers which require specific annotations for each comic title are infeasible. This motivates us to propose a novel zero-shot approach, allowing machines to identify characters and predict speaker names based solely on unannotated comic images. In s…

Zero-Knowledge Proof of Distinct Identity: a Standard-compatible Sybil-resistant Pseudonym Extension for C-ITS
Ye Tao, Hongyi Wu, Ehsan Javanmardi, Manabu Tsukada, Hiroshi Esaki
https://arxiv.org/abs/2403.14020

Zero-Knowledge Proof of Distinct Identity: a Standard-compatible Sybil-resistant Pseudonym Extension for C-ITS
Pseudonyms are widely used in Cooperative Intelligent Transport Systems (C-ITS) to protect the location privacy of vehicles. However, the unlinkability nature of pseudonyms also enables Sybil attacks, where a malicious vehicle can pretend to be multiple vehicles at the same time. In this paper, we propose a novel protocol called zero-knowledge Proof of Distinct Identity (zk-PoDI,) which allows a vehicle to prove that it is not the owner of another pseudonym in the local area, without revealing …

5am thought: a surprisingly large fraction of people who identify aspects of their worldview as cynical are actually naive.
For example, they may think that a particular government policy is intended to oppress a particular societal group, when in fact the politicians and civil servant who developed it sincerely believe it will either be neutral or positive for that group.
Deep, huh?

Improving Welding Robotization via Operator Skill Identification, Modeling, and Human-Machine Collaboration: Experimental Protocol Implementation
Antoine L\'enatCETIM, LS2N, LS2N - \'equipe RoMas, LS2N - \'equipe PACCE, Olivier CheminatCETIM, Damien ChablatLS2N, LS2N - \'equipe RoMas, Camilo CharronLS2N, UR2
https://

Improving Welding Robotization via Operator Skill Identification, Modeling, and Human-Machine Collaboration: Experimental Protocol Implementation
The industry of the future, also known as Industry 5.0, aims to modernize production tools, digitize workshops, and cultivate the invaluable human capital within the company. Industry 5.0 can't be done without fostering a workforce that is not only technologically adept but also has enhanced skills and knowledge. Specifically, collaborative robotics plays a key role in automating strenuous or repetitive tasks, enabling human cognitive functions to contribute to quality and innovation. In manual…

5am thought: a surprisingly large fraction of people who identify aspects of their worldview as cynical are actually naive.
For example, they may think that a particular government policy is intended to oppress a particular societal group, when in fact the politicians and civil servant who developed it sincerely believe it will either be neutral or positive for that group.
Deep, huh?

This https://arxiv.org/abs/2403.04745 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A General Calibrated Regret Metric for Detecting and Mitigating Human-Robot Interaction Failures
Robot decision-making increasingly relies on expressive data-driven human prediction models when operating around people. While these models are known to suffer from prediction errors in out-of-distribution interactions, not all prediction errors equally impact downstream robot performance. We identify that the mathematical notion of regret precisely characterizes the degree to which incorrect predictions of future interaction outcomes degraded closed-loop robot performance. However, canonical …