Zobrazeno 1 - 10
of 20 657
pro vyhledávání: '"An, 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
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
Autor:
Chenglong Jin, Cha-Hee Jeon, Heung Wan Kim, Jin Mo Kang, Yuri Choi, Sung-Min Kang, Hyung Ho Lee, Do-Hee Kim, Byung Woo Han, Bong-Jin Lee
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract HEPN–MNT, a type VII TA module, comprises the HEPN toxin and the MNT antitoxin, which acts as a nucleotidyltransferase that transfers the NMP moiety to the corresponding HEPN toxin, thereby interfering with its toxicity. Here, we report cr
Externí odkaz:
https://doaj.org/article/d2090d749b58491a99ff2b59661cdebb
