14 citations · 36 across the 5 of their papers we have counts for
3 papers · 1 filter
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action Recognition
Sofia Broomé, Ernest Pokropek, Boyu Li +1
Most action recognition models today are highly parameterized, and evaluated on datasets with appearance-wise distinct classes. It has also been shown that 2D Convolutional Neural…
Deep Neural Networks for Detecting Statistical Model Misspecifications. The Case of Measurement Invariance
Artur Pokropek, Ernest Pokropek
While in recent years a number of new statistical approaches have been proposed to model group differences with a different assumption on the nature of the measurement invariance o…
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks
Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker +5
Deep learning-based models have recently outperformed state-of-the-art seasonal forecasting models, such as for predicting El Niño-Southern Oscillation (ENSO). However, current dee…