Zobrazeno 1 - 10
of 712
pro vyhledávání: '"P, Gullà"'
Autor:
Schaeffer, Joachim, Lenz, Eric, Gulla, Duncan, Bazant, Martin Z., Braatz, Richard D., Findeisen, Rolf
Health monitoring, fault analysis, and detection are critical for the safe and sustainable operation of battery systems. We apply Gaussian process resistance models on lithium iron phosphate battery field data to effectively separate the time-depende
Externí odkaz:
http://arxiv.org/abs/2406.19015
The emergence of Large Language Models (LLMs) has achieved tremendous success in the field of Natural Language Processing owing to diverse training paradigms that empower LLMs to effectively capture intricate linguistic patterns and semantic represen
Externí odkaz:
http://arxiv.org/abs/2404.03788
Autor:
Gullà, Gabriele
We are interested in investigating some definitions and assumptions stated in [4], in particular the notions of measurability and atomicity that the two authors used in order to give a representation for multiplicative linear functionals (m.l.f. so o
Externí odkaz:
http://arxiv.org/abs/2403.17027
Autor:
Gullà, Gabriele
This brief survey comes from the slides of a seminar I gave to philosophy of mathematics students. I will present some different characterizations of Woodin cardinals, including the one obtained by Ernest Schimmerling in [6]. I will try to give to th
Externí odkaz:
http://arxiv.org/abs/2403.17026
Autor:
Gullà, Gabriele
We prove, via transfinite recursion, the existence, inside any linearly ordered set of appropriate regular cardinality $\lambda$, of a particular kind of well-ordered subsets characterized by the property of $\lambda$-fullness. Let $H$ be a set of re
Externí odkaz:
http://arxiv.org/abs/2403.15904
Autor:
Gullà, Gabriele
Following a seminar the present author gave to an Automata Theory course to computer science students, it will be presented, in a very synthetic and mostly selfcontained way, the principal properties of context free languages (CFL), with particular a
Externí odkaz:
http://arxiv.org/abs/2403.15899
Autor:
Liu, Peng, Zhang, Lemei, Farup, Terje Nissen, Lauvrak, Even W., Ingvaldsen, Jon Espen, Eide, Simen, Gulla, Jon Atle, Yang, Zhirong
Recent advancements in Generative Language Models (GLMs) have transformed Natural Language Processing (NLP) by showcasing the effectiveness of the "pre-train, prompt, and predict" paradigm in utilizing pre-trained GLM knowledge for diverse applicatio
Externí odkaz:
http://arxiv.org/abs/2312.01314
Autor:
Pogliano, Francesco, Larsen, Ann-Cecilie, Goriely, Stephane, Siess, Lionel, Markova, Maria, Görgen, Andreas, Heines, Johannes, Ingeberg, Vetle Werner, Kjus, Robin Grongstad, Larsson, Johan Emil Linnestad, Li, Kevin Ching Wei, Martinsen, Elise Malmer, Owens-Fryar, Gerard Jordan, Pedersen, Line Gaard, Torvund, Gulla Serville, Tsantiri, Artemis
The $\gamma$-ray strength function and the nuclear level density of $^{167}$Ho have been extracted using the Oslo method from a $^{164}\text{Dy}(\alpha,p\gamma)^{167}$Ho experiment carried out at the Oslo Cyclotron Laboratory. The level density displ
Externí odkaz:
http://arxiv.org/abs/2304.14517
The emergence of Pre-trained Language Models (PLMs) has achieved tremendous success in the field of Natural Language Processing (NLP) by learning universal representations on large corpora in a self-supervised manner. The pre-trained models and the l
Externí odkaz:
http://arxiv.org/abs/2302.03735
Recent advances in graph-based learning approaches have demonstrated their effectiveness in modelling users' preferences and items' characteristics for Recommender Systems (RSS). Most of the data in RSS can be organized into graphs where various obje
Externí odkaz:
http://arxiv.org/abs/2212.12230