Zobrazeno 1 - 10
of 24 442
pro vyhledávání: '"Sung, Min"'
Autor:
Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Rehman, Abd Ur, Gho, Sung-Min, Lee, Aleum, Khan, Tariq M., Razzak, Imran
Despite advances in deep learning for estimating brain age from structural MRI data, incorporating functional MRI data is challenging due to its complex structure and the noisy nature of functional connectivity measurements. To address this, we prese
Externí odkaz:
http://arxiv.org/abs/2411.10100
Autor:
Georgiev, Kristian, Rinberg, Roy, Park, Sung Min, Garg, Shivam, Ilyas, Andrew, Madry, Aleksander, Neel, Seth
Machine unlearning -- efficiently removing the effect of a small "forget set" of training data on a pre-trained machine learning model -- has recently attracted significant research interest. Despite this interest, however, recent work shows that exi
Externí odkaz:
http://arxiv.org/abs/2410.23232
Radiative transfer interactions with material ablation are critical contributors to vehicle heating during high-altitude, high-velocity atmospheric entry. However, the inherent complexity of fully coupled multi-physics models often necessitates simpl
Externí odkaz:
http://arxiv.org/abs/2410.13041
The cyclicity and Koblitz conjectures ask about the distribution of primes of cyclic and prime-order reduction, respectively, for elliptic curves over $\mathbb{Q}$. In 1976, Serre gave a conditional proof of the cyclicity conjecture, but the Koblitz
Externí odkaz:
http://arxiv.org/abs/2408.16641
A recent surge of research in many-body quantum entanglement has uncovered intriguing properties of quantum many-body systems. A prime example is the modular commutator, which can extract a topological invariant from a single wave function. Here, we
Externí odkaz:
http://arxiv.org/abs/2407.11130
Autor:
Yoon, Sung Min
Mean-reverting behavior of individuals assets is widely known in financial markets. In fact, we can construct a portfolio that has mean-reverting behavior and use it in trading strategies to extract profits. In this paper, we show that we are able to
Externí odkaz:
http://arxiv.org/abs/2406.17155
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 4, p e21043 (2021)
BackgroundSecuring the representativeness of study populations is crucial in biomedical research to ensure high generalizability. In this regard, using multi-institutional data have advantages in medicine. However, combining data physically is diffic
Externí odkaz:
https://doaj.org/article/5fcd5faf7ccb441cbe2027e8cecf5d1f
Diffusion models trained on large datasets can synthesize photo-realistic images of remarkable quality and diversity. However, attributing these images back to the training data-that is, identifying specific training examples which caused an image to
Externí odkaz:
http://arxiv.org/abs/2312.06205
Autor:
Tang, Chenyu, Xu, Muzi, Yi, Wentian, Zhang, Zibo, Occhipinti, Edoardo, Dong, Chaoqun, Ravenscroft, Dafydd, Jung, Sung-Min, Lee, Sanghyo, Gao, Shuo, Kim, Jong Min, Occhipinti, Luigi G.
Publikováno v:
npj Flexible Electronics (2024)
Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use. We developed a biocompatible, durable textile choker with an embedded gr
Externí odkaz:
http://arxiv.org/abs/2311.15683
This paper provides a comparison between the vibrational-specific state-to-state (StS) model for nitrogen plasma elaborated in Part I of this work and conventional two-temperature (2-T) models for simulating inductively coupled plasma (ICP) discharge
Externí odkaz:
http://arxiv.org/abs/2310.02504