Zobrazeno 1 - 10
of 58 551
pro vyhledávání: '"Lee, Jae In"'
Thermodynamic uncertainty relations (TURs) delineate tradeoff relations between the thermodynamic cost and the magnitude of an observable's fluctuation. While TURs have been established for various nonequilibrium systems, their applicability to syste
Externí odkaz:
http://arxiv.org/abs/2410.22126
Autor:
Yi, Minseok, Lee, Daehee, Gola, Alberto, Merzi, Stefano, Penna, Michele, Lee, Jae Sung, Cherry, Simon R., Kwon, Sun Il
Positron emission tomography (PET) is the most sensitive biomedical imaging modality for non-invasively detecting and visualizing positron-emitting radiopharmaceuticals within a subject. In PET, measuring the time-of-flight (TOF) information for each
Externí odkaz:
http://arxiv.org/abs/2410.12161
Autor:
Lee, Jae-Weon
We propose a model where the small neutrino masses are generated via the Higgs mechanism, mediated by an ultralight dark matter (ULDM) field with a mass $m\gtrsim 10^{-23} eV$ and a characteristic energy scale of $O(10) eV$. The resulting neutrino ma
Externí odkaz:
http://arxiv.org/abs/2410.02842
Autor:
Kim, Byunghyun, Lee, Jae-Gil
Irregularly sampled time series forecasting, characterized by non-uniform intervals, is prevalent in practical applications. However, previous research have been focused on regular time series forecasting, typically relying on transformer architectur
Externí odkaz:
http://arxiv.org/abs/2409.20092
The goal of this paper is to encode a 3D scene into an extremely compact representation from 2D images and to enable its transmittance, decoding and rendering in real-time across various platforms. Despite the progress in NeRFs and Gaussian Splats, t
Externí odkaz:
http://arxiv.org/abs/2409.15689
Concept-based XAI (C-XAI) approaches to explaining neural vision models are a promising field of research, since explanations that refer to concepts (i.e., semantically meaningful parts in an image) are intuitive to understand and go beyond saliency-
Externí odkaz:
http://arxiv.org/abs/2409.13456
Incremental Learning (IL) aims to accumulate knowledge from sequential input tasks while overcoming catastrophic forgetting. Existing IL methods typically assume that an incoming task has only increments of classes or domains, referred to as Class IL
Externí odkaz:
http://arxiv.org/abs/2409.10956
Unlike traditional media, online news platforms allow users to consume content that suits their tastes and to facilitate interactions with other people. However, as more personalized consumption of information and interaction with like-minded users i
Externí odkaz:
http://arxiv.org/abs/2408.07900
VLT/UVES spectroscopic and TESS photometric observations for WASP 0346-21 allow the direct determination of its physical properties, along with the detection of a circumbinary object and oscillating signals. The high-resolution spectra yielded the ra
Externí odkaz:
http://arxiv.org/abs/2407.17729
Autor:
Lee, Jae Joong, Benes, Bedrich
We introduce RGB2Point, an unposed single-view RGB image to a 3D point cloud generation based on Transformer. RGB2Point takes an input image of an object and generates a dense 3D point cloud. Contrary to prior works based on CNN layers and diffusion
Externí odkaz:
http://arxiv.org/abs/2407.14979