Jonas Wallin

According to our database, Jonas Wallin authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Degradation graphs reveal hidden proteolytic activity in peptidomes.

Erik Hartman, Johan Malmström, Jonas Wallin

PLoS Comput. Biol., 2026

2025

Controllable protein design through Feynman-Kac steering.

Erik Hartman, Jonas Wallin, Johan Malmström, Jimmy Olsson

CoRR, November, 2025

Efficient Solvers for SLOPE in R, Python, Julia, and C++.

Johan Larsson, Malgorzata Bogdan, Krystyna Grzesiak, Mathurin Massias, Jonas Wallin

CoRR, November, 2025

The Choice of Normalization Influences Shrinkage in Regularized Regression.

Johan Larsson, Jonas Wallin

Trans. Mach. Learn. Res., 2025

An explainable covariate compartmental model for predicting the spatio-temporal patterns of dengue in Sri Lanka.

Yichao Liu, Peter Fransson, Julian Heidecke, Prasad Liyanage, Jonas Wallin, Joacim Röcklov

PLoS Comput. Biol., 2025

Uncovering temperature sensitivity of West Nile virus transmission: Novel computational approaches to mosquito-pathogen trait responses.

Julian Heidecke, Jonas Wallin, Peter Fransson, Pratik Singh, Henrik Sjödin, Pascale Claire Stiles, Marina Treskova, Joacim Röcklov

PLoS Comput. Biol., 2025

2023

Coordinate Descent for SLOPE.

Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

The Hessian Screening Rule.

Johan Larsson, Jonas Wallin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Efficient methods for Gaussian Markov random fields under sparse linear constraints.

David Bolin, Jonas Wallin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

The Strong Screening Rule for SLOPE.

Johan Larsson, Malgorzata Bogdan, Jonas Wallin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Latent Gaussian random field mixture models.

David Bolin, Jonas Wallin, Finn Lindgren

Comput. Stat. Data Anal., 2019

2016

Erratum to: BayesFlow: latent modeling of flow cytometry cell populations.

Kerstin Johnsson, Jonas Wallin, Magnus Fontes

BMC Bioinform., 2016

BayesFlow: latent modeling of flow cytometry cell populations.

Kerstin Johnsson, Jonas Wallin, Magnus Fontes

BMC Bioinform., 2016

2015

Estimating Periodicities in Symbolic Sequences Using Sparse Modeling.

Stefan Ingi Adalbjörnsson, Johan Sward, Jonas Wallin, Andreas Jakobsson

IEEE Trans. Signal Process., 2015