Zobrazeno 1 - 10
of 61 929
pro vyhledávání: '"Surya, A."'
Autor:
Sun, Ruoxi, Chang, Jiamin, Pearce, Hammond, Xiao, Chaowei, Li, Bo, Wu, Qi, Nepal, Surya, Xue, Minhui
Multimodal foundation models (MFMs) represent a significant advancement in artificial intelligence, combining diverse data modalities to enhance learning and understanding across a wide range of applications. However, this integration also brings uni
Externí odkaz:
http://arxiv.org/abs/2411.11195
Autor:
Mohammed, Abdurahman Ali, Fonder, Catherine, Sakaguchi, Donald S., Tavanapong, Wallapak, Mallapragada, Surya K., Idris, Azeez
We present a new annotated microscopic cellular image dataset to improve the effectiveness of machine learning methods for cellular image analysis. Cell counting is an important step in cell analysis. Typically, domain experts manually count cells in
Externí odkaz:
http://arxiv.org/abs/2411.08992
Autor:
Chaudhary, Muhammad F. A., Aguilera, Stephanie M., Nakhmani, Arie, Reinhardt, Joseph M., Bhatt, Surya P., Bodduluri, Sandeep
Diffeomorphic deformable image registration ensures smooth invertible transformations across inspiratory and expiratory chest CT scans. Yet, in practice, deep learning-based diffeomorphic methods struggle to capture large deformations between inspira
Externí odkaz:
http://arxiv.org/abs/2411.07567
Forecasting stochastic nonlinear dynamical systems under the influence of conditioning variables is a fundamental challenge repeatedly encountered across the biological and physical sciences. While flow-based models can impressively predict the tempo
Externí odkaz:
http://arxiv.org/abs/2411.08314
Autor:
Kelly, Conlain, Kalidindi, Surya R.
Engineering problems frequently require solution of governing equations with spatially-varying discontinuous coefficients. Even for linear elliptic problems, mapping large ensembles of coefficient fields to solutions can become a major computational
Externí odkaz:
http://arxiv.org/abs/2411.06529
Transformers have had tremendous impact for several sequence related tasks, largely due to their ability to retrieve from any part of the sequence via softmax based dot-product attention. This mechanism plays a crucial role in Transformer's performan
Externí odkaz:
http://arxiv.org/abs/2411.03493
Autor:
Mysore, Sheshera, Dhanania, Garima, Patil, Kishor, Kallumadi, Surya, McCallum, Andrew, Zamani, Hamed
Personalized search represents a problem where retrieval models condition on historical user interaction data in order to improve retrieval results. However, personalization is commonly perceived as opaque and not amenable to control by users. Furthe
Externí odkaz:
http://arxiv.org/abs/2411.02790
Publikováno v:
ApJ 975 16 (2024)
Searches for continuous-wave gravitational radiation in data collected by modern long-baseline interferometers, such as the Laser Interferometer Gravitational-wave Observatory (LIGO), the Virgo interferometer and the Kamioka Gravitational Wave Detect
Externí odkaz:
http://arxiv.org/abs/2410.21540
Autor:
Yen, Jui-Nan, Si, Si, Meng, Zhao, Yu, Felix, Duvvuri, Sai Surya, Dhillon, Inderjit S., Hsieh, Cho-Jui, Kumar, Sanjiv
Low-rank adaption (LoRA) is a widely used parameter-efficient finetuning method for LLM that reduces memory requirements. However, current LoRA optimizers lack transformation invariance, meaning the actual updates to the weights depends on how the tw
Externí odkaz:
http://arxiv.org/abs/2410.20625
Autor:
Panda, Surya N., Yang, Qun, Pohl, Darius, Lv, Hua, Robredo, Iñigo, Ibarra, Rebeca, Tahn, Alexander, Rellinghaus, Bernd, Sun, Yan, Yan, Binghai, Markou, Anastasios, Lesne, Edouard, Felser, Claudia
The rise of non-magnetic topological semimetals, which provide a promising platform for observing and controlling various spin-orbit effects, has led to significant advancements in the field of topological spintronics. RhSi exists in two distinct pol
Externí odkaz:
http://arxiv.org/abs/2410.17665