Markus Heinonen

Visitor
Visitor
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...

Forskningsgrupp

  • Probabilistic Machine Learning, Academy Research Fellow
  • Professorship Lähdesmäki Harri, Academy Research Fellow
  • Professorship Kaski Samuel, Visitor (Faculty)
  • Professorship Lähdesmäki Harri, Visitor (Faculty)
  • Probabilistic Machine Learning, Visitor (Faculty)

Publikationer

Probabilistic analysis of spatial viscoelastic cues in 3D cell culture using magnetic microrheometry

Ossi Arasalo, Arttu J. Lehtonen, Mari Kielosto, Markus Heinonen, Juho Pokki 2025 Biophysical Journal

From Alexnet to Transformers : Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Oliver Struckmeier, Karol Arndt, Markus Heinonen, Ville Kyrki, Samuel Kaski 2025 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

E(3)-equivariant models cannot learn chirality: Field-based molecular generation

Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki 2025 13th International Conference on Learning Representations, ICLR 2025

Robust Classification by Coupling Data Mollification with Label Smoothing

Markus Heinonen, Ba Hien Tran, Michael Kampffmeyer, Maurizio Filippone 2025 Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025

Multi-target property prediction and optimization using latent spaces of generative model

Anirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski 2025 Machine Learning: Science and Technology

Devil is in the Details : Density Guidance for Detail-Aware Generation with Flow Models

Rafał Karczewski, Markus Heinonen, Vikas Garg 2025 Proceedings of Machine Learning Research

Diffusion Models as Cartoonists: The Curious Case of High Density Regions

Rafał Karczewski, Markus Heinonen, Vikas Garg 2025 13th International Conference on Learning Representations, ICLR 2025

What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?

Rafał Karczewski, Samuel Kaski, Markus Heinonen, Vikas Garg 2025 Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg 2025 13th International Conference on Learning Representations, ICLR 2025

Single-cell analysis of aplastic anemia reveals a convergence of NK and NK-like CD8+ T cells with a disease-associated TCR signature

Sofie Lundgren, Jani Huuhtanen, Mikko Keränen, Xingmin Feng, Bhavisha A. Patel, Georgina L. Ryland, Lucy C. Fox, Carlos Bravo-Perez, Michael Clemente, Cassandra Kerr, Gunilla Walldin, Olli Dufva, Yoshitaka Zaimoku, Tiina Tuononen, Mikko Myllymäki, Freja Ebeling, Emmi Jokinen, Markus Heinonen, Tiina Kasanen, Jay Klievink, Hanna Lähteenmäki, Taina Jaatinen, Sari Kytölä, Sanna Siitonen, Alina Dulau-Florea, Raul Braylan, Merja Heinäniemi, Shinji Nakao, Eva Hellström-Lindberg, Jaroslaw P. Maciejewski, Piers Blombery, Neal S. Young, Harri Lähdesmäki, Satu Mustjoki 2025 SCIENCE TRANSLATIONAL MEDICINE