Lag-Llama is a probabilistic forecasting model trained to output a probability distribution for each timestep to be predicted. For your own specific use-case, we would recommend benchmarking the zero-shot performance of the model on your data first, and then finetuning if necessary.

The official rules of "Lag Face" the Zoom/Teams/Meet/Hangout Game - thedanfernandez/lagface

Oct 12, 2023 · We present Lag-Llama, a general-purpose foundation model for univariate probabilistic time series forecasting based on a decoder-only transformer architecture that uses lags as covariates.

The official rules of "Lag Face" the Zoom/Teams/Meet/Hangout Game - lagface/README.md at master · thedanfernandez/lagface

Mar 19, 2024 · The Lag-Llama approach approximates the probabilistic forecasts by treating them as samples drawn from a Student’s t-distribution. This entails modeling three key parameters of the Student’s...

Dec 13, 2023 · However, I’m struggling to grasp how time features align with lagged values in the training phase.

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time series foundation models. time-series. arxiv: 2310.08278

Large Age-Gap (LAG) is a dataset for face verification, The dataset contains 3,828 images of 1,010 celebrities. For each identity at least one child/young image and one adult/old image are present.

This paper introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.