Zobrazeno 1 - 10
of 6 688
pro vyhledávání: '"Nguyen, An M."'
Physics-informed neural networks (PINNs) incorporate physical laws into their training to efficiently solve partial differential equations (PDEs) with minimal data. However, PINNs fail to guarantee adherence to conservation laws, which are also impor
Externí odkaz:
http://arxiv.org/abs/2410.17445
Autor:
Teo, Rachel S. Y., Nguyen, Tan M.
Sparse Mixture of Experts (SMoE) has become the key to unlocking unparalleled scalability in deep learning. SMoE has the potential to exponentially increase parameter count while maintaining the efficiency of the model by only activating a small subs
Externí odkaz:
http://arxiv.org/abs/2410.14574
Autor:
Ziemke, Carson, Nguyen, Ha M., Amaya-Roncancio, Sebastian, Gahl, John, Xing, Yangchuan, Heitmann, Thomas W., Wexler, Carlos
The monoclinic (m-LBO) and tetragonal (t-LBO) polymorphs of LiBO2 have significant potential for applications such as solid electrolytes and electrode coatings of lithium-ion batteries. While comparative experimental studies of electron and lithium t
Externí odkaz:
http://arxiv.org/abs/2410.06284
Autor:
Nguyen, Duy M. H., Diep, Nghiem T., Nguyen, Trung Q., Le, Hoang-Bao, Nguyen, Tai, Nguyen, Tien, Nguyen, TrungTin, Ho, Nhat, Xie, Pengtao, Wattenhofer, Roger, Zhou, James, Sonntag, Daniel, Niepert, Mathias
State-of-the-art medical multi-modal large language models (med-MLLM), like LLaVA-Med or BioMedGPT, leverage instruction-following data in pre-training. However, those models primarily focus on scaling the model size and data volume to boost performa
Externí odkaz:
http://arxiv.org/abs/2410.02615
Autor:
Buralli, B., N'Diaye, M., Pourcelot, R., Carbillet, M., Por, E. H., Laginja, I., Canas, L., Steiger, S., Petrone, P., Nguyen, M. M., Nickson, B., Redmond, S. F., Sahoo, A., Pueyo, L., Perrin, M. D., Soummer, R.
We study a mid-order wavefront sensor (MOWFS) to address fine cophasing errors in exoplanet imaging with future large segmented aperture space telescopes. Observing Earth analogs around Sun-like stars requires contrasts down to $10^{-10}$ in visible
Externí odkaz:
http://arxiv.org/abs/2409.03411
Autor:
Kim, Joohee, Lee, Hyunwook, Nguyen, Duc M., Shin, Minjeong, Kwon, Bum Chul, Ko, Sungahn, Elmqvist, Niklas
Comics are an effective method for sequential data-driven storytelling, especially for dynamic graphs -- graphs whose vertices and edges change over time. However, manually creating such comics is currently time-consuming, complex, and error-prone. I
Externí odkaz:
http://arxiv.org/abs/2408.04874
We consider a sequential task and motion planning (tamp) setting in which a robot is assigned continuous-space rearrangement-style tasks one-at-a-time in an environment that persists between each. Lacking advance knowledge of future tasks, existing (
Externí odkaz:
http://arxiv.org/abs/2407.13694
Publikováno v:
Appl. Numer. Math. 205 (2024) 215
Solitons of the purely cubic nonlinear Schr\"odinger equation in a space dimension of $n \geq 2$ suffer critical and supercritical collapses. These solitons can be stabilized in a cubic-quintic nonlinear medium. In this paper, we analyze the Crank-Ni
Externí odkaz:
http://arxiv.org/abs/2407.12311
Autor:
Nguyen, Duy M. H., Le, An T., Nguyen, Trung Q., Diep, Nghiem T., Nguyen, Tai, Duong-Tran, Duy, Peters, Jan, Shen, Li, Niepert, Mathias, Sonntag, Daniel
Prompt learning methods are gaining increasing attention due to their ability to customize large vision-language models to new domains using pre-trained contextual knowledge and minimal training data. However, existing works typically rely on optimiz
Externí odkaz:
http://arxiv.org/abs/2407.04489
Autor:
Nguyen, Tan M., Nguyen, Tam, Ho, Nhat, Bertozzi, Andrea L., Baraniuk, Richard G., Osher, Stanley J.
Self-attention is key to the remarkable success of transformers in sequence modeling tasks including many applications in natural language processing and computer vision. Like neural network layers, these attention mechanisms are often developed by h
Externí odkaz:
http://arxiv.org/abs/2406.13781