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Photo of Johan Alenlöv

Johan Alenlöv

Lecturer

Publications

2026

Johan Alenlöv (2026) Stacked Feynman-Kac: A Generalised Method for Within-Timestep Sampling of Intermediate Distributions for Diffusion Models Transactions on Machine Learning Research (Article in journal)

2024

Alessandro Mastrototaro, Jimmy Olsson, Johan Alenlöv (2024) Fast and Numerically Stable Particle-Based Online Additive Smoothing: The AdaSmooth Algorithm Journal of the American Statistical Association, Vol. 119, p. 356-367 (Article in journal) https://dx.doi.org/10.1080/01621459.2022.2118602

2021

Johan Alenlöv, Arnaud Doucet, Fredrik Lindsten (2021) Pseudo-Marginal Hamiltonian Monte Carlo Journal of machine learning research, Vol. 22 (Article in journal)

2020

Jimmy Olsson, Johan Westerborn (2020) Particle-based online estimation of tangent filters with application to parameter estimation in nonlinear state-space models Annals of the Institute of Statistical Mathematics, Vol. 72, p. 545-576 (Article in journal) https://dx.doi.org/10.1007/s10463-018-0698-1

2019

Johan Alenlöv, Jimmy Olsson (2019) Particle-based adaptive-lag online marginal smoothing in general state-space models IEEE Transactions on Signal Processing, Vol. 67, p. 5571-5582 (Article in journal) https://dx.doi.org/10.1109/TSP.2019.2941066

About the division

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The Division of Statistics and Machine Learning (STIMA)

The STIMA division is part of the Department of Computer and Information Science. The research and teaching activities are focused on modern data analysis and the division hosts the international master's programme in Statistics and Machine Learning.

Colleagues at STIMA

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Martin Andrae
PhD student
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Krzysztof Bartoszek
Senior Associate Pro
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Bayu Brahmantio
PhD student
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Marc Braun
PhD student
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Gabriel Ducrocq
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Hariprasath Govindarajan
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Anders Grimvall
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Ann-Charlotte Hallberg
Lecturer
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Isak Hietala
Lecturer
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Vinit Shambhu Horakeri
PhD student
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Leo Jarhede
PhD student
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Adhithyan Kalaivanan
PhD student
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Anushka Kulkarni
PhD student
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Tomas Landelius
Adjunct Associate Pr
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Fredrik Lindsten
Professor, Head of Division
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Sebastian Mair
Assistant Professor
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Lisa Menacher
PhD student
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Frank Miller
Professor, Head of Unit
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Shashi Nagarajan
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Jose M Pena
Senior Associate Pro, Head of Unit
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Jolanta Pielaszkiewicz
Associate Professor
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Erik Raab
PhD student
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Behnaz Rivandi
PhD student
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Karl Sigfrid
Postdoc
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Oleg Sysoev
Senior Associate Pro
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Annika Tillander
Associate Professor
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Bertil Wegmann
Associate Professor
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Erik Wikingsson
PhD student
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Josef Wilzén
Lecturer
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Linda Wänström
Associate Professor, Docent
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Zheng Zhao
Assistant Professor, Docent

About the department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.