Markus Heinonen

Academy Research Fellow
Academy Research Fellow
T313 Dept. Computer Science
Full researcher profile
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Research groups

  • Probabilistic Machine Learning, Research Fellow
  • Professorship Lähdesmäki Harri, Research Fellow


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 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

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 Transactions on Machine Learning Research

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 BMC Bioinformatics

Likelihood-Free Inference with Deep Gaussian Processes

Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski 2022 Computational Statistics & Data Analysis

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