In this work, we consider the application of model-based deep learning in nonlinear principal component analysis (PCA). Inspired by the deep unfolding methodology, we propose a task-based deep learning approach, referred to as Deep-RLS, that unfolds...
Databricks, Inc. is an American software company based in San Francisco. [4] It was founded in 2013 by the original creators of Apache Spark. [1][5] It offers a cloud-based platform for data analytics and …
The vortex of iron-based superconductors is emerging as a promising platform for Majorana zero mode, owing to a magic integration among intrinsic vortex winding, non-trivial band topology, strong electron-electron correlations, high-Tc superconductiv...
Deep neural networks are largely used for complex prediction tasks. There is plenty of empirical evidence of their successful end-to-end training for a diversity of tasks. Success is often measured based solely on the final performance of the trained...
Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer. In Human Action Recognition (HAR), attention mechanisms have been primarily adopted on top of stand...
The excellent sensitivity and high resolution capability of wide FoV ground-based imaging atmospheric Cerenkov telescopes allow us for the first time to resolve the morphological structures of pulsar wind nebulae (PWN) which are older and more exte...
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x
DAG-based consensus has attracted significant interest due to its high throughput in asynchronous network settings. However, existing protocols such as DAG-rider (Keidar et al., PODC 2021) and ``Narwhal and Tusk'' (Danezis et al., Eurosys 2022) face...
Several prominent DAG-based blockchain protocols, such as DAG-Rider, Tusk, and Bullshark, completely separate between equivocation elimination and committing; equivocation is handled through the use of a reliable Byzantine broadcast black-box protoco...
In this paper, we report the results from the analysis of a numerical model used for the design of a magnetic linear actuator with applications to fin-based locomotion. Most of the current robotic fish generate bending motion using rotary motors whic...
11, 1994) is an American professional baseball shortstop for the Chicago Cubs of Major League Baseball (MLB). He has previously played in MLB for the Atlanta
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With the rapid development of recommendation models and device computing power, device-based recommendation has become an important research area due to its better real-time performance and privacy protection. Previously, Transformer-based sequential...
Hi everyone, I’m a Data Engineer with around 2.5years of experience currently working with Microsoft Fabric, PySpark, and Azure-based data pipelines in a service based company.I’m planning to swi...
Taj Ali Bradley (born March 20, 2001) is an American professional baseball pitcher for the Minnesota Twins of Major League Baseball (MLB). He has previously
Dec 5, 2023 · Since the default base of log can vary between and even within fields, seems a good rule of thumb is to treat ln as loge (of course), and log as unknown (re: base-2/10/e/whatever) until you …
May 14, 2021 · Currently, in my math class, we are learning about logarithms. I understand that the common logarithm has a base of 10 and the natural has a base of e. But, when do we use them? For …
The growth in data storage capacity and the increasing demands for high performance have created several challenges for concurrent indexing structures. One promising solution is learned indexes, which use a learning-based approach to fit the distribu...
Databricks, Inc. is an American software company based in San Francisco. [4] It was founded in 2013 by the original creators of Apache Spark. [1][5] It offers a cloud-based platform for data analytics and …