eXIAA: eXplainable Injections for Adversarial Attack

Kavli Affiliate: Leonardo Dicarlo | First 5 Authors: Leonardo Pesce, Leonardo Pesce, , , | Summary: Post-hoc explainability methods are a subset of Machine Learning (ML) that aim to provide a reason for why a model behaves in a certain way. In this paper, we show a new black-box model-agnostic adversarial attack for post-hoc explainable […]


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Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks

Kavli Affiliate: Timon Idema | First 5 Authors: Yizheng Wang, Yizheng Wang, , , | Summary: Friction modeling plays a crucial role in achieving high-precision motion control in robotic operating systems. Traditional static friction models (such as the Stribeck model) are widely used due to their simple forms; however, they typically require predefined functional assumptions, […]


Continue.. Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks

Mailing address aliasing as a method to protect consumer privacy

Kavli Affiliate: Gregory Bokinsky | First 5 Authors: Greg Hather, Greg Hather, , , | Summary: During online commerce, a customer will typically share his or her mailing address with a merchant to allow product delivery. This creates privacy risks for the customer, where the information may be misused, sold, or leaked by multiple merchants. […]


Continue.. Mailing address aliasing as a method to protect consumer privacy

Mailing address aliasing as a method to protect consumer privacy

Kavli Affiliate: Gregory Bokinsky | First 5 Authors: Greg Hather, Greg Hather, , , | Summary: During online commerce, a customer will typically share his or her mailing address with a merchant to allow product delivery. This creates privacy risks for the customer, where the information may be misused, sold, or leaked by multiple merchants. […]


Continue.. Mailing address aliasing as a method to protect consumer privacy

Pervasive Label Errors in Seismological Machine Learning Datasets

Kavli Affiliate: Gregory Bokinsky | First 5 Authors: Albert Leonardo Aguilar Suarez, Albert Leonardo Aguilar Suarez, , , | Summary: The recent boom in artificial intelligence and machine learning has been powered by large datasets with accurate labels, combined with algorithmic advances and efficient computing. The quality of data can be a major factor in […]


Continue.. Pervasive Label Errors in Seismological Machine Learning Datasets

Pervasive Label Errors in Seismological Machine Learning Datasets

Kavli Affiliate: Gregory Bokinsky | First 5 Authors: Albert Leonardo Aguilar Suarez, Albert Leonardo Aguilar Suarez, , , | Summary: The recent boom in artificial intelligence and machine learning has been powered by large datasets with accurate labels, combined with algorithmic advances and efficient computing. The quality of data can be a major factor in […]


Continue.. Pervasive Label Errors in Seismological Machine Learning Datasets

Orbital-Optimized Unitary Coupled Cluster for Indirect Nuclear Spin-Spin Coupling Constants within a Quantum Linear Response Framework

Kavli Affiliate: Sonia Conesa-Boj | First 5 Authors: Juliane H. Fuglsbjerg, Juliane H. Fuglsbjerg, , , | Summary: We present a quantum linear response (qLR) approach within an active-space framework for computing indirect nuclear spin-spin coupling constants, a key ingredient in NMR spectra predictions. The method employs the unitary coupled cluster (UCC) ansatz and its […]


Continue.. Orbital-Optimized Unitary Coupled Cluster for Indirect Nuclear Spin-Spin Coupling Constants within a Quantum Linear Response Framework

Orbital-Optimized Unitary Coupled Cluster for Indirect Nuclear Spin-Spin Coupling Constants within a Quantum Linear Response Framework

Kavli Affiliate: Sonia Conesa-Boj | First 5 Authors: Juliane H. Fuglsbjerg, Juliane H. Fuglsbjerg, , , | Summary: We present a quantum linear response (qLR) approach within an active-space framework for computing indirect nuclear spin-spin coupling constants, a key ingredient in NMR spectra predictions. The method employs the unitary coupled cluster (UCC) ansatz and its […]


Continue.. Orbital-Optimized Unitary Coupled Cluster for Indirect Nuclear Spin-Spin Coupling Constants within a Quantum Linear Response Framework

Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression

Kavli Affiliate: Stan Brouns | First 5 Authors: Katie Matton, Katie Matton, , , | Summary: Phonotrauma refers to vocal fold tissue damage resulting from exposure to forces during voicing. It occurs on a continuum from mild to severe, and treatment options can vary based on severity. Assessment of severity involves a clinician’s expert judgment, […]


Continue.. Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression

Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression

Kavli Affiliate: Stan Brouns | First 5 Authors: Katie Matton, Katie Matton, , , | Summary: Phonotrauma refers to vocal fold tissue damage resulting from exposure to forces during voicing. It occurs on a continuum from mild to severe, and treatment options can vary based on severity. Assessment of severity involves a clinician’s expert judgment, […]


Continue.. Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression