Guessing Random Additive Noise Decoding (GRAND) is a universal decoding algorithm that can be used to perform maximum likelihood decoding. It attempts to find the errors introduced by the channel by generating a sequence of possible error vectors in...
I put a large amount in Fidelity Global Innovators (FID5973) back in March and have seen great returns. Even on a short-term timeline, this fund has outperformed many ETFs that are typically mentioned...
Likelihood-free inference involves inferring parameter values given observed data and a simulator model. The simulator is computer code which takes parameters, performs stochastic calculations, and outputs simulated data. In this work, we view the si...
If you enjoy/insist on the parry playstyle, you cannot be standing there in the parry stance waiting for attacks to parry with L1. Weave in and out of the stance and do actual DPS with your main armam...
Traditional NBA player evaluation metrics are based on scoring differential or some pace-adjusted linear combination of box score statistics like points, rebounds, assists, etc. These measures treat performances with the outcome of the game still in...
We study the Japan and U.S. patent records of several decades to demonstrate the effect of collaboration on innovation. We find that statistically inventor teams slightly outperform solo inventors while company teams perform equally well as solo comp...
In October of 2018, /u/Mr_Suzan was inspired by a post from /u/galloog1 to seek out underrated stock picks from the /r/investing community and monitor their performance. Post-COVID bounce, I wante...
Performing a computer experiment can be viewed as observing a mapping between the model parameters and the corresponding model outputs predicted by the computer model. In view of this, experimental design for computer experiments can be thought of as...
Election polls play a critical role in political discussions by probing public opinion and enabling political parties to assess their performance before elections. However, traditional polling methods sometimes fail to predict election outcomes accur...
Rust programming language is gaining popularity rapidly in building reliable and secure systems due to its security guarantees and outstanding performance. To provide extra functionalities, the Rust compiler introduces Rust unstable features (RUF) to...
This letter presents a 360° phase detector cell for performing phase-shift measurements on multiple output systems. An analog phase detector, capable of detecting a maximum range of {\pm}90°, has been used to perform a double multiplication of two...
Currently, attention mechanism becomes a standard fixture in most state-of-the-art natural language processing (NLP) models, not only due to outstanding performance it could gain, but also due to plausible innate explanation for the behaviors of neur...
Large Language Models (LLMs) perform outstandingly in various downstream tasks, and the use of the Retrieval-Augmented Generation (RAG) architecture has been shown to improve performance for legal question answering (Nuruzzaman and Hussain, 2020; Lou...
I feel like I'm going insane reading the takes online about Green Day "selling out" or being "performative losers" because of last night. People expected them to turn a 3.5 minute opening ceremony int...
High-performing machine translation (MT) systems can help overcome language barriers while making it possible for everyone to communicate and use language technologies in the language of their choice. However, such systems require large amounts of pa...
1. To enact again: reenact a law. 2. a. To perform again: reenacted the dancer's movements. b. To act out or re-create dramatically (a historical event, for example): reenact a famous trial.
This would be a PR nightmare which is why I imagine it hasn’t happened on a mainstream level But has there been an actor who was interviewed about an upcoming release and they were talking about ho...
In this paper, we present a novel approach to kiwi fruit flower detection using Deep Neural Networks (DNNs) to build an accurate, fast, and robust autonomous pollination robot system. Recent work in deep neural networks has shown outstanding performa...