Kavli Affiliate: David T. Limmer | First 5 Authors: Jorge L. Rosa-Raíces, David T. Limmer, , , | Summary: Studying the structure of systems in nonequilibrium steady states necessitates tools that quantify population shifts and associated deformations of equilibrium free energy landscapes under persistent currents. Within the framework of stochastic thermodynamics, we establish a variant […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Jorge L. Rosa-Raíces, David T. Limmer, , , | Summary: Studying the structure of systems in nonequilibrium steady states necessitates tools that quantify population shifts and associated deformations of equilibrium free energy landscapes under persistent currents. Within the framework of stochastic thermodynamics, we establish a variant […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang | Summary: Recent progress in Graph Neural Networks (GNNs) has greatly enhanced the ability to model complex molecular structures for predicting properties. Nevertheless, molecular data encompasses more than just graph structures, including textual and visual information that […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high order flux reconstruction solver has been developed and validated to perform implicit large eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high-order flux reconstruction solver has been developed and validated to perform implicit large-eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann solver to […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Christian Kümmerle, Xiang Zhang, , | Summary: Normalization techniques are crucial for enhancing Transformer models’ performance and stability in time series analysis tasks, yet traditional methods like batch and layer normalization often lead to issues such as token shift, attention shift, and sparse attention. We […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang | Summary: Medical time series data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases. Existing methods for medical time series classification primarily rely on handcrafted […]
Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Feng Wang, Isaac M von Riedemann, Cong Zhang | Summary: Large Language Models (LLMs) have become increasingly popular, transforming a wide range of applications across various domains. However, the real-world effectiveness of their query cache systems has not been thoroughly investigated. In this […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei | Summary: Similar to Vision Transformers, this paper identifies artifacts also present within the feature maps of Vision Mamba. These artifacts, corresponding to high-norm tokens emerging in low-information background areas of images, appear much more severe in […]
Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Christopher J. N. Coveney, Jonah B. Haber, Antonios M. Alvertis, Jeffrey B. Neaton, Marina R. Filip | Summary: Understanding the processes governing the dissociation of excitons to free charge carriers in semiconductors and insulators is of central importance for photovoltaic applications. Dyson’s $mathcal{S}$-matrix formalism provides a […]