Biography
I am a PhD student in the Department of Computer Science at Aalto University, advised by Arno Solin and Markus Heinonen. My research interests include diffusion generative models, (physics-inspired) inductive biases in diffusion models, and also applications of machine learning in the natural sciences. Previously, I also worked in the intersection of deep latent variable models and causal inference. I was also one of the main organisers of ELLIS Doctoral Symposium 2023!
Education
PhD in Machine Learning, 2021-
Aalto University
MSc in Machine Learning, 2019-2021
Aalto University
BSc in Engineering Physics and Mathematics, 2016-2019
Aalto University
Publications
(2024).
Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs.
Preprint.
(2024).
Alignment is Key for Applying Diffusion Models to Retrosynthesis.
Preprint.
(2023).
Improving Discrete Diffusion Models via Structured Preferential Generation.
NeurIPS 2023 Workshop on Diffusion Models.
(2023).
Generative Modelling With Inverse Heat Dissipation.
In ICLR 2023.
(2021).
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models.
In NeurIPS 2021.
Other / blog posts
*
This post details my attempts at automatically transcribing my grandma’s handwritten memoirs into somewhat modern, easily readable Finnish.
A couple of selected projects I did before starting my PhD, based on some measure of interestingness.