Follow
Amina mollaysa
Amina mollaysa
Other namesMaolaaisha Aminanmu
Verified email at uzh.ch
Title
Cited by
Cited by
Year
Regularising non-linear models using feature side-information
A Mollaysa, P Strasser, A Kalousis
International Conference on Machine Learning, 2508-2517, 2017
162017
SimTS: rethinking contrastive representation learning for time series forecasting
X Zheng, X Chen, M Schürch, A Mollaysa, A Allam, M Krauthammer
arXiv preprint arXiv:2303.18205, 2023
152023
Goal-directed generation of discrete structures with conditional generative models
A Mollaysa, B Paige, A Kalousis
Advances in Neural Information Processing Systems 33, 21923-21933, 2020
132020
Learning to augment with feature side-information
A Mollaysa, A Kalousis, E Bruno, M Diephuis
Asian Conference on Machine Learning, 173-187, 2019
92019
Mixed integer second-order cone programming for the horizontal and vertical free-flight planning problem
Z Yuan, LA Moreno, A Fügenschuh, A Kaier, A Mollaysa, S Schlobach
Helmut-Schmidt-Univ., Univ. der Bundeswehr Hamburg, 2015
72015
Conditional generation of molecules from disentangled representations
A Mollaysa, B Paige, A Kalousis
32019
Generative time series models with interpretable latent processes for complex disease trajectories
C Trottet, M Schürch, A Mollaysa, A Allam, M Krauthammer
Deep Generative Models for Health Workshop NeurIPS 2023, 2023
22023
Generating Personalized Insulin Treatments Strategies with Conditional Generative Time Series Models
M Schürch, X Li, A Allam, G Hofer, A Mollaysa, C Cavelti-Weder, ...
Deep Generative Models for Health Workshop NeurIPS 2023, 2023
12023
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models
M Schürch, X Li, A Allam, G Rathmes, A Mollaysa, C Cavelti-Weder, ...
arXiv preprint arXiv:2309.16521, 2023
12023
Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series
X Chen, X Zheng, A Mollaysa, M Schürch, A Allam, M Krauthammer
arXiv preprint arXiv:2311.07744, 2023
2023
Attention-based Multi-task Learning for Base Editor Outcome Prediction
A Mollaysa, A Allam, M Krauthammer
arXiv preprint arXiv:2310.02919, 2023
2023
Structural and Functional Regularization of Deep Learning Models
M Aminanmu
Université de Genève, 2021
2021
Conditional generation of molecules from disentangled representations
M Amina, P Brooks, K Alexandros
Neurips 2020, ML4Molecules, 2020
2020
Learning with feature side-information
A Mollaysa, P Strasser, A Kalousis
Learning in High Dimensions with Structure, Workshop proceedings of the 30th …, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–14