Zobrazeno 1 - 10
of 92 987
pro vyhledávání: '"A. Yogesh"'
Autor:
Jain, Rashi, Wadadekar, Yogesh
We report the discovery of a large ($\sim 10$ kpc diameter), massive ($\log(M_\star/M_\odot) = 10.15^{+0.01}_{-0.01}$), grand-design spiral galaxy with photometric redshift $z_{\text{phot}} = 4.03$ in the UNCOVER and Medium Band Mega Science surveys
Externí odkaz:
http://arxiv.org/abs/2412.04834
Autor:
Phalak, Yogesh, Pendar, Hodjat
In this theoretical study, we present an analytical framework to investigate the slithering motion of snakes on flat surfaces. While previous studies have predominantly relied on numerical methods to identify optimal locomotion kinematics, such appro
Externí odkaz:
http://arxiv.org/abs/2412.03725
Publikováno v:
IEEE Transactions on Electron Devices, 2024
Making ultra-short gate-length transistors significantly contributes to scaling the contacted gate pitch. This, in turn, plays a vital role in achieving smaller standard logic cells for enhanced logic density scaling. As we push the boundaries of min
Externí odkaz:
http://arxiv.org/abs/2412.01016
Autor:
Kulkarni, Yogesh, Fazli, Pooyan
Recent advances in vision-language models (VLMs) have significantly enhanced video understanding tasks. Instruction tuning (i.e., fine-tuning models on datasets of instructions paired with desired outputs) has been key to improving model performance.
Externí odkaz:
http://arxiv.org/abs/2412.00624
Through a combination of crystal symmetry analysis and density functional theory calculations we unveil a possible microscopic origin of the unexpected insulating behavior reported in the honeycomb Kitaev material Cu$_2$IrO$_3$. Our study suggests th
Externí odkaz:
http://arxiv.org/abs/2412.00220
Autor:
Marthi, Visweshwar Ram, Maan, Yogesh
We report the first, direct measurement of the electron density turbulence parameter $C_1$, enabled by 550-750 MHz observations with the upgraded Giant Metrewave Radio Telescope. The parameter $C_1$ depends on the power law index of the wavenumber sp
Externí odkaz:
http://arxiv.org/abs/2411.19330
Green Peas (GPs) and blueberry galaxies (BBs) are thought to be local analogs ($z<$0.1) of high redshift Ly$\alpha$ emitters. H I study of these can help us understand the star formation in the primordial Universe. In this Letter, we present the resu
Externí odkaz:
http://arxiv.org/abs/2411.13527
Autor:
Newlin, Nancy R., Schilling, Kurt, Koudoro, Serge, Chandio, Bramsh Qamar, Kanakaraj, Praitayini, Moyer, Daniel, Kelly, Claire E., Genc, Sila, Chen, Jian, Yang, Joseph Yuan-Mou, Wu, Ye, He, Yifei, Zhang, Jiawei, Zeng, Qingrun, Zhang, Fan, Adluru, Nagesh, Nath, Vishwesh, Pathak, Sudhir, Schneider, Walter, Gade, Anurag, Rathi, Yogesh, Hendriks, Tom, Vilanova, Anna, Chamberland, Maxime, Pieciak, Tomasz, Ciupek, Dominika, Vega, Antonio Tristán, Aja-Fernández, Santiago, Malawski, Maciej, Ouedraogo, Gani, Machnio, Julia, Ewert, Christian, Thompson, Paul M., Jahanshad, Neda, Garyfallidis, Eleftherios, Landman, Bennett A.
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructu
Externí odkaz:
http://arxiv.org/abs/2411.09618
Autor:
NVIDIA, Atzmon, Yuval, Bala, Maciej, Balaji, Yogesh, Cai, Tiffany, Cui, Yin, Fan, Jiaojiao, Ge, Yunhao, Gururani, Siddharth, Huffman, Jacob, Isaac, Ronald, Jannaty, Pooya, Karras, Tero, Lam, Grace, Lewis, J. P., Licata, Aaron, Lin, Yen-Chen, Liu, Ming-Yu, Ma, Qianli, Mallya, Arun, Martino-Tarr, Ashlee, Mendez, Doug, Nah, Seungjun, Pruett, Chris, Reda, Fitsum, Song, Jiaming, Wang, Ting-Chun, Wei, Fangyin, Zeng, Xiaohui, Zeng, Yu, Zhang, Qinsheng
We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space diffusion models trained using a novel Laplacian diffusion process, in wh
Externí odkaz:
http://arxiv.org/abs/2411.07126
Autor:
S, Vatchala, C, Yogesh, Govindarajan, Yeshwanth, M, Krithik Raja, Ganesan, Vishal Pramav Amirtha, A, Aashish Vinod, Ramesh, Dharun
In this study, we introduce a novel multi-modal biometric authentication system that integrates facial, vocal, and signature data to enhance security measures. Utilizing a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Netwo
Externí odkaz:
http://arxiv.org/abs/2411.02112