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
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
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
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
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
Learning representations that are closed-form Monge mapping optimal with application to domain adaptation
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki
2023
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging
Aarne Talman, Hande Celikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann
2023
Proceedings of the 24th Nordic Conference on Computational Linguistics
AbODE: Ab initio antibody design using conjoined ODEs
Yogesh Verma, Markus Heinonen, Vikas Garg
2023
Proceedings of the 40th International Conference on Machine Learning
Modeling binding specificities of transcription factor pairs with random forests
Anni A. Antikainen, Markus Heinonen, Harri Lähdesmäki
2022
Likelihood-Free Inference with Deep Gaussian Processes
Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski
2022
Variational multiple shooting for Bayesian ODEs with Gaussian processes
Pashupati Hedge, Cagatay Yildiz, Harri Lähdesmäki, Samuel Kaski, Markus Heinonen
2022
Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), PMLR