Zobrazeno 1 - 10
of 97 054
pro vyhledávání: '"A, Vinay"'
Autor:
Kumar, Vinay, Bhat, Pallavi
Magnetic reconnection, a fundamental plasma process, is pivotal in understanding energy conversion and particle acceleration in astrophysical systems. While extensively studied in two-dimensional (2D) configurations, the dynamics of reconnection in t
Externí odkaz:
http://arxiv.org/abs/2412.10065
Autor:
Saunders, Jack, Hewitt, Charlie, Jian, Yanan, Kowalski, Marek, Baltrusaitis, Tadas, Chen, Yiye, Cosker, Darren, Estellers, Virginia, Gyde, Nicholas, Namboodiri, Vinay P., Lundell, Benjamin E
Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars. Recent works have pushed the boundaries of quality
Externí odkaz:
http://arxiv.org/abs/2412.07739
Autor:
Vinay, Vaishali, Mangal, Anjali
As command-line interfaces remain integral to high-performance computing environments, the risk of exploitation through stealthy and complex command-line abuse grows. Conventional security solutions struggle to detect these anomalies due to their con
Externí odkaz:
http://arxiv.org/abs/2412.04259
Autor:
Dillmann, Steven, Martínez-Galarza, Rafael, Soria, Roberto, Di Stefano, Rosanne, Kashyap, Vinay L.
We present a novel representation learning method for downstream tasks such as anomaly detection and unsupervised transient classification in high-energy datasets. This approach enabled the discovery of a new fast X-ray transient (FXT) in the Chandra
Externí odkaz:
http://arxiv.org/abs/2412.01150
Autor:
Sankarapu, Vinay Kumar, Chitroda, Chintan, Rathore, Yashwardhan, Singh, Neeraj Kumar, Seth, Pratinav
The rapid advancement of artificial intelligence has led to increasingly sophisticated deep learning models, which frequently operate as opaque 'black boxes' with limited transparency in their decision-making processes. This lack of interpretability
Externí odkaz:
http://arxiv.org/abs/2411.12643
We introduce the Latent Entropy (L-entropy) as a novel measure to characterize the genuine multipartite entanglement in quantum systems. Our measure leverages the upper bound of reflected entropy, achieving maximal values for $n$-party 2-uniform stat
Externí odkaz:
http://arxiv.org/abs/2411.11961
Word embeddings have been shown to produce remarkable results in tackling a vast majority of NLP related tasks. Unfortunately, word embeddings also capture the stereotypical biases that are prevalent in society, affecting the predictive performance o
Externí odkaz:
http://arxiv.org/abs/2411.12074
With the rapid advancement of neural language models, the deployment of over-parameterized models has surged, increasing the need for interpretable explanations comprehensible to human inspectors. Existing post-hoc interpretability methods, which oft
Externí odkaz:
http://arxiv.org/abs/2411.04649
Wind energy's role in the global electric grid is set to expand significantly. New York State alone anticipates offshore wind farms (WFs) contributing 9GW by 2035. Integration of energy storage emerges as crucial for this advancement. In this study,
Externí odkaz:
http://arxiv.org/abs/2411.04274
The spatio-temporal nature of live-cell microscopy data poses challenges in the analysis of cell states which is fundamental in bioimaging. Deep-learning based segmentation or tracking methods rely on large amount of high quality annotations to work
Externí odkaz:
http://arxiv.org/abs/2411.03924