Amina Mollaysa

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Chronic Hepatitis

Outcome Prediction

Hierarchical Hidden Markov Models

Visual Patterns

Top Venues

Publications

Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
Simple Contrastive Representation Learning for Time Series Forecasting. ICASSP (2024)
Xingyu Chen, Xiaochen Zheng, Amina Mollaysa, Manuel Schürch, Ahmed Allam, Michael Krauthammer
Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series. CoRR (2023)
Amina Mollaysa, Ahmed Allam, Michael Krauthammer
Attention-based Multi-task Learning for Base Editor Outcome Prediction. CoRR (2023)
Amina Mollaysa, Ahmed Allam, Michael Krauthammer
Attention-based Multi-task Learning for Base Editor Outcome Prediction. CoRR (2023)
Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Rathmes, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models. CoRR (2023)
Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting. CoRR (2023)
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
Goal-directed Generation of Discrete Structures with Conditional Generative Models. NeurIPS (2020)
Amina Mollaysa, Brooks Paige, Alexandros Kalousis
Goal-directed Generation of Discrete Structures with Conditional Generative Models. CoRR (2020)
Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis
Learning to Augment with Feature Side-information. ACML (2019)
Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Regularising Non-linear Models Using Feature Side-information. ICML (2017)
Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
Regularising Non-linear Models Using Feature Side-information. CoRR (2017)