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A Bayesian Optimization through Sequential Monte Carlo and Statistical Physics-Inspired Techniques

Autor: Lebedev, Anton, Warford, Thomas, Şahin, M. Emre

Publikováno v: Lecture Notes in Computer Science, vol 14077 (2023)

In this paper, we propose an approach for an application of Bayesian optimization using Sequential Monte Carlo (SMC) and concepts from the statistical physics of classical systems. Our method leverages the power of modern machine learning libraries s

Externí odkaz: http://arxiv.org/abs/2409.03094

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Elf autoencoder: unsupervised exploration of flat-band materials using electronic band structure fingerprints

Autor: Pentz, Henry Kelbrick, Warford, Thomas, Timokhin, Ivan, Yang, Qian, Bhattacharya, Anupam, Mishchenko, Artem

Two-dimensional materials with flat electronic bands are promising for realizing exotic quantum phenomena such as unconventional superconductivity and nontrivial topology, but exploring their vast chemical space remains challenging. Here, we introduc

Externí odkaz: http://arxiv.org/abs/2406.11967

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SoK: Safer Digital-Safety Research Involving At-Risk Users

Autor: Bellini, Rosanna, Tseng, Emily, Warford, Noel, Daffalla, Alaa, Matthews, Tara, Consolvo, Sunny, Woelfer, Jill Palzkill, Kelley, Patrick Gage, Mazurek, Michelle L., Cuomo, Dana, Dell, Nicola, Ristenpart, Thomas

Research involving at-risk users -- that is, users who are more likely to experience a digital attack or to be disproportionately affected when harm from such an attack occurs -- can pose significant safety challenges to both users and researchers. N

Externí odkaz: http://arxiv.org/abs/2309.00735

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Akademický článek

Reducing wait times and avoiding unnecessary use of high-cost mental health services through a Rapid Access and Stabilization Program: protocol for a program evaluation study

Publikováno v: BMC Health Services Research, Vol 24, Iss 1, Pp 1-11 (2024)

Abstract Background Emergency psychiatric care, unplanned hospital admissions, and inpatient health care are the costliest forms of mental health care. According to Statistics Canada (2018), almost 18% (5.3 million) of Canadians reported needing ment

Externí odkaz: https://doaj.org/article/f2b7554a281e4557ab1fd6412734c231

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SoK: A Framework for Unifying At-Risk User Research

Autor: Warford, Noel, Matthews, Tara, Yang, Kaitlyn, Akgul, Omer, Consolvo, Sunny, Kelley, Patrick Gage, Malkin, Nathan, Mazurek, Michelle L., Sleeper, Manya, Thomas, Kurt

At-risk users are people who experience elevated digital security, privacy, and safety threats because of what they do, who they are, where they are, or who they are with. In this systematization work, we present a framework for reasoning about at-ri

Externí odkaz: http://arxiv.org/abs/2112.07047

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Akademický článek

Metal concentrations in transitional and coastal waters measured by passive (Diffusive Gradients in Thin-films) and spot sampling: MONITOOL Project Dataset

Publikováno v: Data in Brief, Vol 53, Iss , Pp 110145- (2024)

The MONITOOL project (2017–2023) was carried out to describe the relationships between total dissolved and labile metal concentrations measured in spot water samples and in concurrently deployed Diffusive Gradients in Thin-films (DGTs) passive samp

Externí odkaz: https://doaj.org/article/77ecf707bdf54d829b158133c33e1a95

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Strategies and Perceived Risks of Sending Sensitive Documents

Autor: Warford, Noel, Munyendo, Collins W., Mediratta, Ashna, Aviv, Adam J., Mazurek, Michelle L.

People are frequently required to send documents, forms, or other materials containing sensitive data (e.g., personal information, medical records, financial data) to remote parties, sometimes without a formal procedure to do so securely. The specifi

Externí odkaz: http://arxiv.org/abs/2105.14619

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