Delve into the cutting edge of Artificial Intelligence with our dedicated Research Paper section.
Hard-Constrained Deep Learning for Climate Downscaling Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh, Qidong Yang, Prasanna Sattegeri, Daniela Szwarcman, Campbell Watson, David Rolnick; 24(365):1−40, 2023. Abstract The availability of reliable, high-resolution climate and weather data is important to inform long-term decisions…
![Zero Bubble Pipeline Parallelism. (arXiv:2401.10241v1 [cs.DC])](http://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png "Zero Bubble Pipeline Parallelism. (arXiv:2401.10241v1 [cs.DC])"){kind=logo}
Pipeline parallelism is one of the key components for large-scale distributed training, yet its efficiency suffers from pipeline bubbles which were deemed inevitable. In this work, we introduce a scheduling strategy that, to our knowledge, is the first to successfully…
[Submitted on 27 Nov 2023] Download a PDF of the paper titled Interplay between Cryptocurrency Transactions and Online Financial Forums, by Ana Fern\’andez Vilas and Rebeca P. D\’iaz Redondo and Daniel Couto Cancela and Alejandro Torrado Pazos Download PDF HTML…
Diffusion models generate high-resolution images through iterative stochastic processes. In particular, the denoising method is one of the most popular approaches that predicts the noise in samples and denoises it at each time step. It has been commonly observed that…
A new graph neural network-based recommendation model called KGLN, which leverages Knowledge Graph (KG) information, was developed to enhance the accuracy and effectiveness of personalized recommendations. This model begins by using a single-layer neural network to merge individual node features…
[Submitted on 18 Jan 2024] Download a PDF of the paper titled Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis, by Phevos Paschalidis and 2 other authors Download PDF HTML (experimental) Abstract:In this paper, we formulate the multi-agent graph…
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees Michael J. O’Neill, Stephen J. Wright; 24(10):1−34, 2023. Abstract We describe a line-search algorithm which achieves the best-known worst-case complexity results for problems with a certain “strict saddle” property…
This paper presents VoxCeleb-ESP, a collection of pointers and timestamps to YouTube videos facilitating the creation of a novel speaker recognition dataset. VoxCeleb-ESP captures real-world scenarios, incorporating diverse speaking styles, noises, and channel distortions. It includes 160 Spanish celebrities spanning…
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The ability to handle long texts is one of the most important capabilities of Large Language Models (LLMs), but as the text length increases, the consumption of resources also increases dramatically. At present, reducing resource consumption by compressing the KV…
[Submitted on 16 Jan 2024] Download a PDF of the paper titled Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression, by Rub\’en Antonio Garc\’ia-Ruiz and 3 other authors Download PDF Abstract:Expensive ultrasonic anemometers are usually required to measure…
Confidence and Uncertainty Assessment for Distributional Random Forests Jeffrey Näf, Corinne Emmenegger, Peter Bühlmann, Nicolai Meinshausen; 24(366):1−77, 2023. Abstract The Distributional Random Forest (DRF) is a recently introduced Random Forest algorithm to estimate multivariate conditional distributions. Due to its general…