Mollaysa, Amina

9 publications

ICLR 2026 GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction Feng Jiang, Amina Mollaysa, Hehuan Ma, Yuzhi Guo, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao

NeurIPS 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

CHIL 2024 DDoS: A Graph Neural Network Based Drug Synergy Prediction Algorithm Kyriakos Schwarz, Pliego Mendieta Alicia, Amina Mollaysa, Planas-Paz Lara, Chantal Pauli, Ahmed Allam, Michael Krauthammer

ICMLW 2024 Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Enhanced Goal Directed Generation Arthur-Louis Heath, Amina Mollaysa, Michael Krauthammer

NeurIPSW 2023 Generating Personalized Insulin Treatments Strategies with Conditional Generative Time Series Models Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Hofer, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer

NeurIPSW 2023 Generative Time Series Models with Interpretable Latent Processes for Complex Disease Trajectories Cécile Trottet, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer

NeurIPS 2020 Goal-Directed Generation of Discrete Structures with Conditional Generative Models Amina Mollaysa, Brooks Paige, Alexandros Kalousis

ACML 2019 Learning to Augment with Feature Side-Information Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis

ICML 2017 Regularising Non-Linear Models Using Feature Side-Information Amina Mollaysa, Pablo Strasser, Alexandros Kalousis