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Markus Heinonen

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Field-based Molecule Generation

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Feb 24, 2024
Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki

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Understanding deep neural networks through the lens of their non-linearity

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Oct 17, 2023
Quentin Bouniot, Ievgen Redko, Anton Mallasto, Charlotte Laclau, Karol Arndt, Oliver Struckmeier, Markus Heinonen, Ville Kyrki, Samuel Kaski

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Learning Space-Time Continuous Neural PDEs from Partially Observed States

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Jul 09, 2023
Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki

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Input gradient diversity for neural network ensembles

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Jun 05, 2023
Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

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AbODE: Ab Initio Antibody Design using Conjoined ODEs

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May 31, 2023
Yogesh Verma, Markus Heinonen, Vikas Garg

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Beyond invariant representation learning: linearly alignable latent spaces for efficient closed-form domain adaptation

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May 12, 2023
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki

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Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging

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Apr 10, 2023
Aarne Talman, Hande Celikkanat, Sami Virpioja, Markus Heinonen, Jörg Tiedemann

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Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes

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Mar 03, 2023
Magnus Ross, Markus Heinonen

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Continuous-Time Functional Diffusion Processes

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Mar 01, 2023
Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

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Modular Flows: Differential Molecular Generation

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Oct 13, 2022
Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg

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