Tootfinder

This https://arxiv.org/abs/2401.06310 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
Recent studies have shown that Text-to-Image (T2I) model generations can reflect social stereotypes present in the real world. However, existing approaches for evaluating stereotypes have a noticeable lack of coverage of global identity groups and their associated stereotypes. To address this gap, we introduce the ViSAGe (Visual Stereotypes Around the Globe) dataset to enable the evaluation of known nationality-based stereotypes in T2I models, across 135 nationalities. We enrich an existing tex…

Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang
https://arxiv.org/abs/2402.12720 <…

Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond
To trace the copyright of deep neural networks, an owner can embed its identity information into its model as a watermark. The capacity of the watermark quantify the maximal volume of information that can be verified from the watermarked model. Current studies on capacity focus on the ownership verification accuracy under ordinary removal attacks and fail to capture the relationship between robustness and fidelity. This paper studies the capacity of deep neural network watermarks from an inform…

Fascinating read about Unicode notions of “character equivalence”
Canonical equivalence: precomposed vs. combining sequences (including Hangul), order of combining marks, legacy codepoints.
Compatibility equivalence: font variants, different spaces, Arabic presentation forms, circled characters, width/size/rotated variations, superscripts/subscripts, East Asian “squared characters”, fractions, and others (it’s completely wild).

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies
Qiang Li, Michal Yemini, Hoi-To Wai
https://arxiv.org/abs/2404.10995

Clipped SGD Algorithms for Privacy Preserving Performative Prediction: Bias Amplification and Remedies
Clipped stochastic gradient descent (SGD) algorithms are among the most popular algorithms for privacy preserving optimization that reduces the leakage of users' identity in model training. This paper studies the convergence properties of these algorithms in a performative prediction setting, where the data distribution may shift due to the deployed prediction model. For example, the latter is caused by strategical users during the training of loan policy for banks. Our contributions are two-fo…

Fascinating read about Unicode notions of “character equivalence”
Canonical equivalence: precomposed vs. combining sequences (including Hangul), order of combining marks, legacy codepoints.
Compatibility equivalence: font variants, different spaces, Arabic presentation forms, circled characters, width/size/rotated variations, superscripts/subscripts, East Asian “squared characters”, fractions, and others (it’s completely wild).

Assessing the Privacy Risk of Cross-Platform Identity Linkage using Eye Movement Biometrics
Samantha Aziz, Oleg Komogortsev
https://arxiv.org/abs/2402.08655

Assessing the Privacy Risk of Cross-Platform Identity Linkage using Eye Movement Biometrics
The recent emergence of ubiquitous, multi-platform eye tracking has raised user privacy concerns over re-identification across platforms, where a person is re-identified across multiple eye tracking-enabled platforms using personally identifying information that is implicitly expressed through their eye movement. We present an empirical investigation quantifying a modern eye movement biometric model's ability to link subject identities across three different eye tracking devices using eye movem…

Ontology Engineering to Model the European Cultural Heritage: The Case of Cultural Gems
Valentina Alberti, Cinzia Cocco, Sergio Consoli, Valentina Montalto, Francesco Panella
https://arxiv.org/abs/2402.07351

Ontology Engineering to Model the European Cultural Heritage: The Case of Cultural Gems
Cultural gems is a web application conceived by the European Commission's Joint Research Centre (DG JRC), which aims at engaging people and organisations across Europe to create a unique repository of cultural and creative places. The main goal is to provide a vision of European culture in order to strengthen a sense of identity within a single European cultural realm. Cultural gems maps more than 130,000 physical places in over 300 European cities and towns, and since 2020 it also lists online…

Scale-free identity: The emergence of social network science
Haiko Lietz
https://arxiv.org/abs/2403.07595 https://arxiv.org/pdf/2403.…

Scale-free identity: The emergence of social network science
Social Network Analysis is a way of studying agents embedded in contexts. In about 1998, physicists discovered social networks as representations of complex systems. Small-world and scale-free networks are the paradigmatic models of this Network Science. Relying on various models and mechanisms of socio-cultural processes, an identity model is developed and calibrated in a case study of Social Network Science. This research domain results from the union of Social Network Analysis and Network Sc…

This https://arxiv.org/abs/2312.14348 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Symmetric functions from the six-vertex model in half-space
We study the stochastic six-vertex model in half-space with generic integrable boundary weights, and define two families of multivariate rational symmetric functions. Using commutation relations between double-row operators, we prove a skew Cauchy identity of these functions. In a certain degeneration of the right-hand side of the Cauchy identity we obtain the partition function of the six-vertex model in a half-quadrant, and give a Pfaffian formula for this quantity. The Pfaffian is a direct g…

Computation and analysis of subdiffusion with variable exponent
Xiangcheng Zheng
https://arxiv.org/abs/2404.09421 https://arxiv.org/p…

Computation and analysis of subdiffusion with variable exponent
We consider the subdiffusion of variable exponent modeling subdiffusion phenomena with varying memory properties. The main difficulty is that this model could not be analytically solved and the variable-exponent Abel kernel may not be positive definite or monotonic. This work develops a tool called the generalized identity function to convert this model to more feasible formulations for mathematical and numerical analysis, based on which we prove its well-posedness and regularity. In particular…

Geometrisation of Fermions in Flat Spacetimes
William J. Leigh
https://arxiv.org/abs/2404.03360 https://arxiv.org/pdf/2404.03360

Geometrisation of Fermions in Flat Spacetimes
Requiring physical consistency in a classical flat spacetime geometrisation of fermions is shown to suggest the introduction of torsion. A resulting simple model for that torsion produces a localised quantum-like particle as a solution of a spinor identity that closely resembles the Dirac equation of quantum electrodynamics. All relevant integrals involving solutions of the spinor identity converge and require that the spin, which is no longer intrinsic but arises from circulating currents, be …

This https://arxiv.org/abs/2404.00753 has been replaced.
link: https://scholar.google.com/scholar?q=a

A compromise criterion for weighted least squares estimates
When independent errors in a linear model have non-identity covariance, the ordinary least squares estimate of the model coefficients is less efficient than the weighted least squares estimate. However, the practical application of weighted least squares is challenging due to its reliance on the unknown error covariance matrix. Although feasible weighted least squares estimates, which use an approximation of this matrix, often outperform the ordinary least squares estimate in terms of efficienc…

This https://arxiv.org/abs/2305.00521 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

StyleLipSync: Style-based Personalized Lip-sync Video Generation
In this paper, we present StyleLipSync, a style-based personalized lip-sync video generative model that can generate identity-agnostic lip-synchronizing video from arbitrary audio. To generate a video of arbitrary identities, we leverage expressive lip prior from the semantically rich latent space of a pre-trained StyleGAN, where we can also design a video consistency with a linear transformation. In contrast to the previous lip-sync methods, we introduce pose-aware masking that dynamically loc…

This https://arxiv.org/abs/2210.17264 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation
This paper presents a method for end-to-end cross-lingual text-to-speech (TTS) which aims to preserve the target language's pronunciation regardless of the original speaker's language. The model used is based on a non-attentive Tacotron architecture, where the decoder has been replaced with a normalizing flow network conditioned on the speaker identity, allowing both TTS and voice conversion (VC) to be performed by the same model due to the inherent linguistic content and speaker identity disen…

This https://arxiv.org/abs/2310.11064 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

On currents in the $O(n)$ loop model
Using methods from the conformal bootstrap, we study the properties of Noether currents in the critical $O(n)$ loop model. We confirm that they do not give rise to a Kac-Moody algebra (for $n\neq 2$), a result expected from the underlying lack of unitarity. By studying four-point functions in detail, we fully determine the current-current OPEs, and thus obtain several structure constants with physical meaning. We find in particular that the terms $:\!J\bar{J}\!:$ in the identity and adjoint cha…

A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models
R\'emi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac
https://arxiv.org/abs/2404.07100

A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models
In this paper, we consider the problem of testing equality of the covariance matrices of L complex Gaussian multivariate time series of dimension $M$ . We study the special case where each of the L covariance matrices is modeled as a rank K perturbation of the identity matrix, corresponding to a signal plus noise model. A new test statistic based on the estimates of the eigenvalues of the different covariance matrices is proposed. In particular, we show that this statistic is consistent and wit…

Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model
Julia Barnett, Hugo Flores Garcia, Bryan Pardo
https://arXiv.org/abs/2401.14542

Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model
Every artist has a creative process that draws inspiration from previous artists and their works. Today, "inspiration" has been automated by generative music models. The black box nature of these models obscures the identity of the works that influence their creative output. As a result, users may inadvertently appropriate, misuse, or copy existing artists' works. We establish a replicable methodology to systematically identify similar pieces of music audio in a manner that is useful for unders…

Electrolyte effects on the alkaline hydrogen evolution reaction: a mean-field approach
Lucas B. T. de Kam, Thomas L. Maier, Katharina Krischer
https://arxiv.org/abs/2403.18418

Electrolyte effects on the alkaline hydrogen evolution reaction: a mean-field approach
This paper introduces the combination of an advanced double layer model with electrochemical kinetics to explain electrolyte effects on the alkaline hydrogen evolution reaction. It is known from experimental studies that the alkaline hydrogen evolution current shows a strong dependence on the concentration and identity of cations in the electrolyte, but is independent of pH. To explain these effects, we formulate the faradaic current in terms of the electric potential in the double layer, which…

The linear sampling method for data generated by small random scatterers
J. Garnier, H. Haddar, H. Montanelli
https://arxiv.org/abs/2403.19482 https://

The linear sampling method for data generated by small random scatterers
We present an extension of the linear sampling method for solving the sound-soft inverse scattering problem in two dimensions with data generated by randomly distributed small scatterers. The theoretical justification of our novel sampling method is based on a rigorous asymptotic model, a modified Helmholtz--Kirchhoff identity, and our previous work on the linear sampling method for random sources. Our numerical implementation incorporates boundary elements, Singular Value Decomposition, Tikhon…