Markus Heinonen
Academy Research Fellow
Academy Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358442942600
Tutkimusryhmät
- Probabilistic Machine Learning, Research Fellow
- Professorship Lähdesmäki Harri, Research Fellow
Julkaisut
Balancing Imbalanced Toxicity Models : Using MolBERT with Focal Loss
Muhammad Arslan Masood, Samuel Kaski, Hugo Ceulemans, Dorota Herman, Markus Heinonen
2025
AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings
Towards Interpretable Models of Chemist Preferences for Human-in-the-Loop Assisted Drug Discovery
Yasmine Nahal, Markus Heinonen, Mikhail Kabeshov, Jon Paul Janet, Eva Nittinger, Ola Engkvist, Samuel Kaski
2025
AI in Drug Discovery - 1st International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Proceedings
Continuous-Time Functional Diffusion Processes
Giulio Franzese, Giulio Corallo, Simone Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi
2024
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States
Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki
2024
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Input-gradient space particle inference for neural network ensembles
Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024
The Twelfth International Conference on Learning Representations
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
Yogesh Verma, Markus Heinonen, Vikas Garg
2024
The Twelfth International Conference on Learning Representations
TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs
Emmi Jokinen, Alexandru Dumitrescu, Jani Huuhtanen, Vladimir Gligorijevic, Satu Mustjoki, Richard Bonneau, Markus Heinonen, Harri Lähdesmäki
2023
Bioinformatics
Chemistry-Based Modeling on Phenotype-Based Drug-Induced Liver Injury Annotation : From Public to Proprietary Data
Mohammad Moein, Markus Heinonen, Natalie Mesens, Ronnie Chamanza, Chidozie Amuzie, Yvonne Will, Hugo Ceulemans, Samuel Kaski, Dorota Herman
2023
Chemical Research in Toxicology
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen
2023
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
Generative Modelling with Inverse Heat Dissipation
Severi Rissanen, Markus Heinonen, Arno Solin
2023