Zobrazeno 1 - 10
of 1 295 199
pro vyhledávání: '"P P KIM"'
This study introduces a modified score matching method aimed at generating molecular structures with high energy accuracy. The denoising process of score matching or diffusion models mirrors molecular structure optimization, where scores act like phy
Externí odkaz:
http://arxiv.org/abs/2411.19769
Mechanical metamaterials have garnered attention for their engineered mechanical properties, enabling control over specific behaviors. Advances in additive manufacturing have expanded design freedom for complex metamaterials. However, the design proc
Externí odkaz:
http://arxiv.org/abs/2411.19681
Autor:
Cho, Jungbin, Kim, Junwan, Kim, Jisoo, Kim, Minseo, Kang, Mingu, Hong, Sungeun, Oh, Tae-Hyun, Yu, Youngjae
Human motion, inherently continuous and dynamic, presents significant challenges for generative models. Despite their dominance, discrete quantization methods, such as VQ-VAEs, suffer from inherent limitations, including restricted expressiveness and
Externí odkaz:
http://arxiv.org/abs/2411.19527
In this paper, we introduce an open-source Korean-English vision-language model (VLM), VARCO-VISION. We incorporate a step-by-step training strategy that allows a model learn both linguistic and visual information while preserving the backbone model'
Externí odkaz:
http://arxiv.org/abs/2411.19103
In this paper, we propose a neural window decoder (NWD) for spatially coupled low-density parity-check (SC-LDPC) codes. The proposed NWD retains the conventional window decoder (WD) process but incorporates trainable neural weights. To train the weig
Externí odkaz:
http://arxiv.org/abs/2411.19092
Active research is currently underway to enhance the efficiency of vision transformers (ViTs). Most studies have focused solely on effective token mixers, overlooking the potential relationship with normalization. To boost diverse feature learning, w
Externí odkaz:
http://arxiv.org/abs/2411.18995
Most nuclei are deformed, and these deformations play an important role in various nuclear and astrophysical phenomena. Microscopic nuclear mass models have been developed based on covariant density functional theory to explore exotic nuclear propert
Externí odkaz:
http://arxiv.org/abs/2411.19470
With the growing scale and complexity of video data, efficiently processing long video sequences poses significant challenges due to the quadratic increase in memory and computational demands associated with existing transformer-based Large Multi-mod
Externí odkaz:
http://arxiv.org/abs/2411.19460
Diffusion models have emerged as a powerful tool for generating high-quality images, videos, and 3D content. While sampling guidance techniques like CFG improve quality, they reduce diversity and motion. Autoguidance mitigates these issues but demand
Externí odkaz:
http://arxiv.org/abs/2411.18664
Autor:
Lee, Jaewoong, Woo, Junhee, Kim, Sejin, Paulina, Cinthya, Park, Hyunmin, Kim, Hee-Tak, Park, Steve, Kim, Jihan
Recent advances in data-driven research have shown great potential in understanding the intricate relationships between materials and their performances. Herein, we introduce a novel multi modal data-driven approach employing an Automatic Battery dat
Externí odkaz:
http://arxiv.org/abs/2411.17625