Amina Mollaysa

16 papers A* 2C 1Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models. CoRR Amina Mollaysa, Artem Moskalev, Pushpak Pati, Tommaso Mansi, Mangal Prakash, Rui Liao
2025	J	`jnl`	GRAM-TDI: adaptive multimodal representation learning for drug target interaction prediction. CoRR Feng Jiang, Amina Mollaysa, Hehuan Ma, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao
2025	J	`jnl`	TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence. CoRR Feng Jiang, Mangal Prakash, Hehuan Ma, Jianyuan Deng, Yuzhi Guo, Amina Mollaysa, Tommaso Mansi, Rui Liao, Junzhou Huang
2024	—	`conf`	DDoS: A Graph neural Network Based Drug Synergy Prediction Algorithm. CHIL Kyriakos Schwarz, Alicia Pliego-Mendieta, Amina Mollaysa, Lara Planas-Paz, Chantal Pauli, Ahmed Allam, Michael Krauthammer
2024	J	`jnl`	Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation. CoRR Heath Arthur-Loui, Amina Mollaysa, Michael Krauthammer
2024	Misc	`conf`	Simple Contrastive Representation Learning for Time Series Forecasting. ICASSP Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2023	J	`jnl`	Attention-based Multi-task Learning for Base Editor Outcome Prediction. CoRR Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2023	J	`jnl`	Attention-based Multi-task Learning for Base Editor Outcome Prediction. CoRR Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2023	J	`jnl`	Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series. CoRR Xingyu Chen, Xiaochen Zheng, Amina Mollaysa, Manuel Schürch, Ahmed Allam, Michael Krauthammer
2023	J	`jnl`	Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models. CoRR Manuel Schürch, Xiang Li, Ahmed Allam, Giulia Rathmes, Amina Mollaysa, Claudia Cavelti-Weder, Michael Krauthammer
2023	J	`jnl`	SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting. CoRR Xiaochen Zheng, Xingyu Chen, Manuel Schürch, Amina Mollaysa, Ahmed Allam, Michael Krauthammer
2020	A*	`conf`	Goal-directed Generation of Discrete Structures with Conditional Generative Models. NeurIPS Amina Mollaysa, Brooks Paige, Alexandros Kalousis
2020	J	`jnl`	Goal-directed Generation of Discrete Structures with Conditional Generative Models. CoRR Amina Mollaysa, Brooks Paige, Alexandros Kalousis
2019	C	`conf`	Learning to Augment with Feature Side-information. ACML Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis
2017	A*	`conf`	Regularising Non-linear Models Using Feature Side-information. ICML Amina Mollaysa, Pablo Strasser, Alexandros Kalousis
2017	J	`jnl`	Regularising Non-linear Models Using Feature Side-information. CoRR Amina Mollaysa, Pablo Strasser, Alexandros Kalousis