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Employing pre-trained Large Language Models (LLMs) has become the de facto standard in Natural Language Processing (NLP) despite their extensive data requirements. Motivated by the recent surge in research focused on training LLMs with limited data,
Externí odkaz:
http://arxiv.org/abs/2411.09539
We present a comprehensive study of the finite temperature CP-asymmetry factor needed in the semi-classical treatment of leptogenesis originating from Majorana fermion decays into a lepton and a scalar particle. The imaginary part of the relevant one
Externí odkaz:
http://arxiv.org/abs/2409.07180
Publikováno v:
Phys. Rev. B 108, 165147 (2023)
Scale evolution of interactions between a Weyl fermion and a heavy magnetic impurity is calculated non-perturbatively using the functional renormalization group technique. Using an expansion around the vanishing pairing gap, we derive the flow equati
Externí odkaz:
http://arxiv.org/abs/2306.09975
The effective potential obtained by loop expansion is usually not real in the range of field values explored by its minima during a phase transition. We apply the optimized perturbation theory in a fixed gauge to singlet scalar extensions of the Stan
Externí odkaz:
http://arxiv.org/abs/2301.07961
In recent years, reinforcement learning (RL) has shown great potential for solving tasks in well-defined environments like games or robotics. This paper aims to solve the robotic reaching task in a simulation run on the Neurorobotics Platform (NRP).
Externí odkaz:
http://arxiv.org/abs/2210.17138
Autor:
Valerie Coppard, Grisha Szep, Zoya Georgieva, Sarah K. Howlett, Lorna B. Jarvis, Daniel B. Rainbow, Ondrej Suchanek, Edward J. Needham, Hani S. Mousa, David K. Menon, Felix Feyertag, Krishnaa T. Mahbubani, Kourosh Saeb-Parsy, Joanne L. Jones
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
As the dimensionality, throughput and complexity of cytometry data increases, so does the demand for user-friendly, interactive analysis tools that leverage high-performance machine learning frameworks. Here we introduce FlowAtlas: an interactive web
Externí odkaz:
https://doaj.org/article/38abc65bbc2440418eb7722db7fcaa14
Autor:
Reif, Jiří, Gamero, Anna, Hološková, Adriana, Aunins, Ainars, Chodkiewicz, Tomasz, Hristov, Iordan, Kurlavičius, Petras, Leivits, Meelis, Szép, Tibor, Voříšek, Petr
Publikováno v:
In Science of the Total Environment 10 October 2024 946
Autor:
Bodor, Katalin, Tamási, Borbála, Keresztesi, Ágnes, Bodor, Zsolt, Csongor Orbán, Kálmán, Szép, Róbert
Publikováno v:
In Heliyon 15 June 2024 10(11)
Autor:
Peruzzo, Matilda, Hassani, Farid, Szep, Gregory, Trioni, Andrea, Redchenko, Elena, Žemlička, Martin, Fink, Johannes
Publikováno v:
PRX Quantum 2, 040341 (2021)
There are two elementary superconducting qubit types that derive directly from the quantum harmonic oscillator. In one the inductor is replaced by a nonlinear Josephson junction to realize the widely used charge qubits with a compact phase variable a
Externí odkaz:
http://arxiv.org/abs/2106.05882
Publikováno v:
Advances in Neural Information Processing Systems, 34 (2021)
Estimation of parameters in differential equation models can be achieved by applying learning algorithms to quantitative time-series data. However, sometimes it is only possible to measure qualitative changes of a system in response to a controlled c
Externí odkaz:
http://arxiv.org/abs/2106.04243