Amina Mollaysa

According to our database, Amina Mollaysa authored at least 12 papers between 2017 and 2025.

Collaborative distances:

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

2025

TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence.

Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang

CoRR, June, 2025

BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models.

Amina Mollaysa, Artem Moskalev, Pushpak Pati, Tommaso Mansi, Mangal Prakash, Rui Liao

CoRR, June, 2025

2024

Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation.

Heath Arthur-Loui, Amina Mollaysa, Michael Krauthammer

CoRR, 2024

Simple Contrastive Representation Learning for Time Series Forecasting.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

DDoS: A Graph neural Network Based Drug Synergy Prediction Algorithm.

Kyriakos Schwarz, Alicia Pliego-Mendieta, Amina Mollaysa, Lara Planas-Paz, Chantal Pauli, Ahmed Allam, Michael Krauthammer

Proceedings of the Conference on Health, 2024

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