Zobrazeno 1 - 10
of 5 421
pro vyhledávání: '"P, Henriksson"'
We study the dynamics of a first-order phase transition in a strongly coupled gauge theory at non-zero temperature and chemical potential, computing nucleation rates and wall speeds from first principles. The gauge theory is the four-dimensional supe
Externí odkaz:
http://arxiv.org/abs/2411.19667
Autor:
Feliu, Elisenda, Henriksson, Oskar
In this paper, we present new necessary conditions and sufficient conditions for the (positive parts of) the varieties of vertically parametrized systems to admit monomial parametrizations. The conditions are based on a combination of polyhedral geom
Externí odkaz:
http://arxiv.org/abs/2411.15134
A fundamental question in the field of molecular computation is what computational tasks a biochemical system can carry out. In this work, we focus on the problem of finding the maximum likelihood estimate (MLE) for log-affine models. We revisit a co
Externí odkaz:
http://arxiv.org/abs/2411.07986
Autor:
Lewis, Harry, Mahtab, Mahsa, Retiere, Fabrice, Croix, Austin De St., Raymond, Kurtis, Henriksson-Ward, Maia, Morrison, Nicholas, Zhang, Aileen, Capra, Andrea, Underwood, Ryan
Accurate characterization of quantum yield is crucial to the reconstruction of energy depositions in silicon at the eV scale. This work presents a new method for experimentally calculating quantum yield using vacuum UV-sensitive silicon photomultipli
Externí odkaz:
http://arxiv.org/abs/2410.13033
We show that the parameters of a $k$-mixture of inverse Gaussian or gamma distributions are algebraically identifiable from the first $3k-1$ moments, and rationally identifiable from the first $3k+2$ moments. Our proofs are based on Terracini's class
Externí odkaz:
http://arxiv.org/abs/2409.18421
We give a framework for constructing generically optimal homotopies for parametrized polynomial systems from tropical data. Here, generically optimal means that the number of paths tracked is equal to the generic number of solutions. We focus on two
Externí odkaz:
http://arxiv.org/abs/2409.13288
This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We evaluate two kinds of such self-explanations - extractive and counterfactual - using three state-of-t
Externí odkaz:
http://arxiv.org/abs/2407.14487
Autor:
Henriksson, Erik, Myntti, Amanda, Eskelinen, Anni, Erten-Johansson, Selcen, Hellström, Saara, Laippala, Veronika
This article explores deep learning models for the automatic identification of registers - text varieties such as news reports and discussion forums - in web-based datasets across 16 languages. Identifying web registers, or genres, is crucial for und
Externí odkaz:
http://arxiv.org/abs/2406.19892
Silicon-based photonic biosensors, such as microring resonators and Mach-Zehnder interferometers, offer significant potential for the detection of analytes at low concentrations. To enhance response time and improve the limit of detection within prac
Externí odkaz:
http://arxiv.org/abs/2406.19534
The dynamics of first-order phase transitions in strongly coupled systems are relevant in a variety of systems, from heavy ion collisions to the early universe. Holographic theories can be used to model these systems, with fluctuations usually suppre
Externí odkaz:
http://arxiv.org/abs/2406.15297