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Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss
Nature
Sunspots play a crucial role in both weather forecasting and the monitoring of solar storms. In this work, we propose a novel combined model...
2 months ago
Lag-Llama: Open-Source Foundation Model for Time Series Forecasting
Towards Data Science
Lag-Llama is built for univariate probabilistic forecasting. It uses a general method for tokenizing time series data that does not rely on frequency.
6 months ago
Darts: A New Python Library for User-Friendly Forecasting and Anomaly Detection on Time Series
MarkTechPost
Time series data, representing observations recorded sequentially over time, permeate various aspects of nature and business, from weather...
1 month ago
Generative probabilistic prediction of precipitation induced landslide deformation with variational autoencoder and gated recurrent unit
Frontiers
This paper introduces an innovative probabilistic prediction method using a Variational Autoencoder (VAE) combined with Gated Recurrent Unit (GRU) to forecast...
4 months ago
AAAI-24 Tutorial and Lab List
The Association for the Advancement of Artificial Intelligence
Sponsored by the Association for the Advancement of Artificial Intelligence February 20-21, 2024 | Vancouver Convention Centre – West Building | Vancouver,...
9 months ago
BiTCN: Multivariate Time Series Forecasting with Convolutional Networks
Towards Data Science
In the field of time series forecasting, the architectures of models often rely on either the multi-layer perceptron (MLP) or the...
4 months ago
Bayesian learning for the robust verification of autonomous robots | Communications Engineering
Nature
Autonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments.
7 months ago
Researchers from CMU and NYU Propose LLMTime: An Artificial Intelligence Method for Zero-Shot Time Series Forecasting with Large Language Models (LLMs)
MarkTechPost
Researchers from CMU and NYU Propose LLMTime: An Artificial Intelligence Method for Zero-Shot Time Series Forecasting with Large Language...
10 months ago
Forecasting at Uber: An Introduction
Uber
This article is the first in a series dedicated to explaining how Uber leverages forecasting to build better products and services.
71 months ago
Exploring MSR Asia’s contributions to ICLR 2023: From robust machine learning to responsible AI
Microsoft
At this year's conference, Microsoft Research Asia presented its latest research contributions in machine learning robustness and responsible AI, among other...
15 months ago