- Diverse Explorations of Rainfall Nowcasting with TrajGRU: Mitigating Smoothness and Fading Out Challenges for Longer Lead Times
- Can fourier neural operators replicate the intrinsic predictability of spatiotemporal chaos?: for the Kuramoto-Sivashinsky system
- Football activity recognition: Improving and testing football activity recognition based on signal data using deep learning.
- Attention-based deep learning for DNA repair outcome prediction: Learning how the cell repairs DNA breaks using local sequence context
- Short-term Earthquake Prediction with Deep Neural Networks: Finding the optimal time prior to earthquake strikes to use in predictions
- Long-term traffic flow predictions in a transformer-based framework: Capturing temporal and external features, to obtain a traffic flow prediction for the next 24 hours