Zobrazeno 1 - 10
of 23 996
pro vyhledávání: '"A. Á. Horváth"'
Publikováno v:
European Psychiatry, Vol 67, Pp S710-S710 (2024)
Introduction Obsessive-Compulsive Disorder (OCD) and Major Depressive Disorder (MDD) are among the ten most disabling disorders, yet only 30-40% of people with the condition seek specialist care (WHO). Considered a relatively new tool in the treatmen
Externí odkaz:
https://doaj.org/article/e386e9b64e51459db410c43501be69a4
Temporal forward-tracking has been the dominant approach for multi-object segmentation and tracking (MOTS). However, a novel time-symmetric tracking methodology has recently been introduced for the detection, segmentation, and tracking of budding yea
Externí odkaz:
http://arxiv.org/abs/2412.08313
Autor:
Demidovich, Yury, Ostroukhov, Petr, Malinovsky, Grigory, Horváth, Samuel, Takáč, Martin, Richtárik, Peter, Gorbunov, Eduard
Non-convex Machine Learning problems typically do not adhere to the standard smoothness assumption. Based on empirical findings, Zhang et al. (2020b) proposed a more realistic generalized $(L_0, L_1)$-smoothness assumption, though it remains largely
Externí odkaz:
http://arxiv.org/abs/2412.02781
Autor:
Ponkshe, Kaustubh, Singhal, Raghav, Gorbunov, Eduard, Tumanov, Alexey, Horvath, Samuel, Vepakomma, Praneeth
Low-rank adapters have become a standard approach for efficiently fine-tuning large language models (LLMs), but they often fall short of achieving the performance of full fine-tuning. We propose a method, LoRA Silver Bullet or LoRA-SB, that approxima
Externí odkaz:
http://arxiv.org/abs/2411.19557
In a recent article we introduced a new class of shapes, called \emph{soft cells} which fill space as \emph{soft tilings} without gaps and overlaps while minimizing the number of sharp corners. We defined the \textit{edge bending algorithm} deforming
Externí odkaz:
http://arxiv.org/abs/2412.04491
Autor:
Puel, Tharnier O., Turflinger, Adam T., Horvath, Sebastian P., Thompson, Jeff D., Flatté, Michael E.
We propose a new method for converting single microwave photons to single optical sideband photons based on spinful impurities in magnetic materials. This hybrid system is advantageous over previous proposals because (i) the implementation allows muc
Externí odkaz:
http://arxiv.org/abs/2411.12870
With the increase in the number of parameters in large language models, the process of pre-training and fine-tuning increasingly demands larger volumes of GPU memory. A significant portion of this memory is typically consumed by the optimizer state.
Externí odkaz:
http://arxiv.org/abs/2411.07837
Autor:
Koska, Ben, Horváth, Mojmír
We present a novel 4.5B parameter small language model that can handle multiple input and output modalities, including text, images, videos, and audio. Despite its small size, the model achieves near state-of-the-art performance on a variety of tasks
Externí odkaz:
http://arxiv.org/abs/2411.05903
Autor:
Bojtor, A., Krisztian, D., Korsos, F., Kollarics, S., Parada, G., Kollar, M., Horvath, E., Mettan, X., Markus, B. G., Forro, L., Simon, F.
Publikováno v:
Nanomaterials 14, 1742 (2024)
The measurement and description of the charge-carrier lifetime (tauc) is crucial for the wide-ranging applications of lead-halide perovskites. We present time-resolved microwave-detected photoconductivity decay (TRMCD) measurements and a detailed ana
Externí odkaz:
http://arxiv.org/abs/2411.02754
Binary population synthesis (BPS) is an essential tool for extracting information about massive binary evolution from gravitational-wave (GW) detections of compact object mergers. It has been successfully used to constrain the most likely permutation
Externí odkaz:
http://arxiv.org/abs/2410.11830