Simon Olsson

Orcid: 0000-0002-3927-7897

According to our database1, Simon Olsson authored at least 13 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Minimum-Excess-Work Guidance.
CoRR, May, 2025

FLOWR: Flow Matching for Structure-Aware De Novo, Interaction- and Fragment-Based Ligand Generation.
CoRR, April, 2025

Compositional Flows for 3D Molecule and Synthesis Pathway Co-design.
CoRR, April, 2025

Boltzmann priors for Implicit Transfer Operators.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SemlaFlow - Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Generation of conformational ensembles of small molecules via surrogate model-assisted molecular dynamics.
Mach. Learn. Sci. Technol., 2024

Efficient 3D Molecular Generation with Flow Matching and Scale Optimal Transport.
CoRR, 2024

2023
Rescuing off-equilibrium simulation data through dynamic experimental data with dynAMMo.
Mach. Learn. Sci. Technol., December, 2023

Exploring local effects of economic activities using agent-based ecosystem models.
CoRR, 2023

Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
<i>De Novo</i> Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models.
J. Chem. Inf. Model., 2022

Ecosystem Models Based on Artificial Intelligence.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2022

2013
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure.
J. Comput. Chem., 2013


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