Amina Mollaysa

According to our database, Amina Mollaysa authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series.

Xingyu Chen, Xiaochen Zheng, Amina Mollaysa, Manuel Schürch, Ahmed Allam, Michael Krauthammer

CoRR, 2023

Attention-based Multi-task Learning for Base Editor Outcome Prediction.

Amina Mollaysa, Ahmed Allam, Michael Krauthammer

CoRR, 2023

Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models.

Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Rathmes, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer

CoRR, 2023

SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting.

Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer

CoRR, 2023

2020

Goal-directed Generation of Discrete Structures with Conditional Generative Models.

Amina Mollaysa, Brooks Paige, Alexandros Kalousis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning to Augment with Feature Side-information.

Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2017

Regularising Non-linear Models Using Feature Side-information.

Amina Mollaysa, Pablo Strasser, Alexandros Kalousis

Proceedings of the 34th International Conference on Machine Learning, 2017