fev-bench
PulseAugur coverage of fev-bench — every cluster mentioning fev-bench across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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TinyCast: Compact Zero-Shot Forecaster Achieves High Accuracy with Minimal Parameters
A new time series forecasting model named TinyCast has been introduced, featuring a compact design with only 146,505 parameters. This model utilizes a zero-parameter spectral detector to identify periodicity and dilated…
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TinyCast model achieves state-of-the-art zero-shot forecasting with minimal parameters
Researchers have introduced TinyCast, a novel zero-shot forecasting model that utilizes computed periodicity rather than learning it, making it highly efficient with only 146,505 parameters. This model outperforms exist…
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New research tackles training and evaluation challenges for time series foundation models
Two new research papers explore challenges in training and evaluating time series foundation models (TSFMs). The first paper introduces ORBIT, a novel training paradigm designed to control distribution properties like d…
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TiRex-2 model advances multivariate time series forecasting with recurrent xLSTM design
Researchers have introduced TiRex-2, a novel recurrent foundation model based on xLSTM architecture designed for multivariate time series forecasting. This model addresses limitations of existing Transformer-based appro…
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TabPFN-3 advances tabular data prediction with speed and scale
A new technical report introduces TabPFN-3, an advanced foundation model for tabular data that significantly enhances performance and speed. This model scales to datasets with up to 1 million training rows and offers su…
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TabPFN-3 model boosts tabular data prediction and speed
A new technical report introduces TabPFN-3, an advanced foundation model for tabular data that significantly enhances performance and speed. This model scales to datasets with up to 1 million training rows and reduces t…