Andreas Hellander

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 44

Top Topics

Storage Management

Systems Biology

Reinforcement Learning

Top Venues

PLoS Comput. Biol.

Publications

Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Toward efficient resource utilization at edge nodes in federated learning. Prog. Artif. Intell. 13 (2) (2024)
Tianru Zhang, Ankit Gupta, María Andreína Francisco Rodríguez, Ola Spjuth, Andreas Hellander, Salman Toor
Data management of scientific applications in a reinforcement learning-based hierarchical storage system. Expert Syst. Appl. 237 (Part B) (2024)
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
FedBot: Enhancing Privacy in Chatbots with Federated Learning. CoRR (2023)
Sonja Mathias, Igor Adameyko, Andreas Hellander, Jochen Kursawe
Contributions of cell behavior to geometric order in embryonic cartilage. PLoS Comput. Biol. 19 (11) (2023)
Li Ju, Tianru Zhang, Salman Toor, Andreas Hellander
Accelerating Fair Federated Learning: Adaptive Federated Adam. CoRR (2023)
Tianru Zhang, Andreas Hellander, Salman Toor
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. ICDE (2023)
Tianru Zhang, Andreas Hellander, Salman Toor
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Toward efficient resource utilization at edge nodes in federated learning. CoRR (2023)
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
FedQAS: Privacy-aware machine reading comprehension with federated learning. CoRR (2022)
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander
Scalable federated machine learning with FEDn. CCGRID (2022)
Sonja Mathias, Adrien Coulier, Andreas Hellander
CBMOS: a GPU-enabled Python framework for the numerical study of center-based models. BMC Bioinform. 23 (1) (2022)
Adrien Coulier, Prashant Singh, Marc Sturrock, Andreas Hellander
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation. PLoS Comput. Biol. 18 (12) (2022)
Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN (2022)
Tianru Zhang, Salman Toor, Andreas Hellander
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning. CoRR (2022)
Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Richard M. Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. 18 (1) (2022)
Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR (2021)
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander
Scalable federated machine learning with FEDn. CoRR (2021)
Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. 22 (1) (2021)
Richard M. Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda Petzold
Epidemiological modeling in StochSS Live! Bioinform. 37 (17) (2021)
Prashant Singh, Fredrik Wrede, Andreas Hellander
Scalable machine learning-assisted model exploration and inference using Sciope. Bioinform. 37 (2) (2021)
Ola Spjuth, Marco Capuccini, Matteo Carone, Anders Larsson, Wesley Schaal, Jon Ander Novella, Oliver Stein, Morgan Ekmefjord, Paolo Di Tommaso, Evan W. Floden, Cédric Notredame, Pablo Moreno, Andreas Hellander, Payam Emami Khoonsari, Stephanie Herman, Kim Kultima, Samuel Lampa
Approaches for containerized scientific workflows in cloud environments with applications in life science. F1000Research 10 (2021)
Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. CoRR (2020)
Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. CoRR (2020)
Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. IEEE BigData (2020)
Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads. CoRR (2019)
Fredrik Wrede, Andreas Hellander
Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning. Bioinform. 35 (24) (2019)
Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy. CoRR (2019)
Ben Blamey, Andreas Hellander, Salman Toor
Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing. Bench (2019)
Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. CCGRID (2019)
Prashant Singh, Andreas Hellander
Hyperparameter Optimization for Approximate Bayesian Computation. WSC (2018)
Ben Blamey, Andreas Hellander, Salman Zubair Toor
Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison. CoRR (2018)
Kristiina Ausmees, Aji John, Salman Zubair Toor, Andreas Hellander, Carl Nettelblad
BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data. BMC Bioinform. 19 (1) (2018)
Adrien Coulier, Andreas Hellander
Orchestral: A Lightweight Framework for Parallel Simulations of Cell-Cell Communication. eScience (2018)
Preechakorn Torruangwatthana, Hakan Wieslander, Ben Blamey, Andreas Hellander, Salman Zubair Toor
HarmonicIO: Scalable Data Stream Processing for Scientific Datasets. IEEE CLOUD (2018)
Prashant Singh, Andreas Hellander
Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits. CoRR (2018)
Andreas Hellander, Jan Klosa, Per Lötstedt, Shev MacNamara
Robustness Analysis of Spatiotemporal Models in the Presence of Extrinsic Fluctuations. SIAM J. Appl. Math. 77 (4) (2017)
Alieu Jallow, Andreas Hellander, Salman Zubair Toor
Cost-aware Application Development and Management using CLOUD-METRIC. CLOSER (2017)
Prashant Singh, Andreas Hellander
Surrogate assisted model reduction for stochastic biochemical reaction networks. WSC (2017)
Salman Zubair Toor, Mathias Lindberg, Ingemar Falman, Andreas Vallin, Olof Mohill, Pontus Freyhult, Linus Nilsson, Martin Agback, Lars Viklund, Henric Zazzik, Ola Spjuth, Marco Capuccini, Joakim Moller, Donal Murtagh, Andreas Hellander
SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia. eScience (2017)
Emilie Blanc, Stefan Engblom, Andreas Hellander, Per Lötstedt
Mesoscopic Modeling of Stochastic Reaction-Diffusion Kinetics in the Subdiffusive Regime. Multiscale Model. Simul. 14 (2) (2016)
Brian Drawert, Andreas Hellander, Benjamin B. Bales, Debjani Banerjee, Giovanni Bellesia, Bernie J. Daigle Jr., Geoffrey Douglas, Mengyuan Gu, Anand Gupta, Stefan Hellander, Christopher B. Horuk, Dibyendu Nath, Aviral Takkar, Sheng Wu, Per Lötstedt, Chandra Krintz, Linda R. Petzold
Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. PLoS Comput. Biol. 12 (12) (2016)
Lina Meinecke, Stefan Engblom, Andreas Hellander, Per Lötstedt
Analysis and Design of Jump Coefficients in Discrete Stochastic Diffusion Models. SIAM J. Sci. Comput. 38 (1) (2016)
Brian Drawert, Michael Trogdon, Salman Zubair Toor, Linda R. Petzold, Andreas Hellander
MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME. SIAM J. Sci. Comput. 38 (3) (2016)
Brian Drawert, Michael Trogdon, Salman Zubair Toor, Linda R. Petzold, Andreas Hellander
MOLNs: A cloud platform for interactive, reproducible and scalable spatial stochastic computational experiments in systems biology using PyURDME. CoRR (2015)
Andreas Hellander, Michael J. Lawson, Brian Drawert, Linda R. Petzold
Local error estimates for adaptive simulation of the reaction-diffusion master equation via operator splitting. J. Comput. Phys. 266 (2014)
Christopher B. Horuk, Geoffrey Douglas, Anand Gupta, Chandra Krintz, Benjamin B. Bales, Giovanni Bellesia, Brian Drawert, Rich Wolski, Linda R. Petzold, Andreas Hellander
Automatic and portable cloud deployment for scientific simulations. HPCS (2014)
Andreas Hellander, Michael J. Lawson, Brian Drawert, Linda R. Petzold
Local error estimates for adaptive simulation of the Reaction-Diffusion Master Equation via operator splitting CoRR (2013)
Andrej Andrejev, Salman Zubair Toor, Andreas Hellander, Sverker Holmgren, Tore Risch
Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store. e-Science (2013)
Brian Drawert, Stefan Engblom, Andreas Hellander
URDME: a modular framework for stochastic simulation of reaction-transport processes in complex geometries. BMC Syst. Biol. 6 (2012)
Andreas Hellander, Stefan Hellander, Per Lötstedt
Coupled Mesoscopic and Microscopic Simulation of Stochastic Reaction-Diffusion Processes in Mixed Dimensions. Multiscale Model. Simul. 10 (2) (2012)
Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold
Reducing Complexity in Management of eScience Computations. CCGRID (2012)
Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold
Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology. BIOINFORMATICS (2012)
Emmet Caulfield, Andreas Hellander
CellMC - a multiplatform model compiler for the Cell Broadband Engine and x86. Bioinform. 26 (3) (2010)
Andreas Hellander, Per Lötstedt
Incorporating Active Transport of Cellular Cargo in Stochastic Mesoscopic Models of Living Cells. Multiscale Model. Simul. 8 (5) (2010)
Lars Ferm, Andreas Hellander, Per Lötstedt
An adaptive algorithm for simulation of stochastic reaction-diffusion processes. J. Comput. Phys. 229 (2) (2010)
Stefan Engblom, Lars Ferm, Andreas Hellander, Per Lötstedt
Simulation of Stochastic Reaction-Diffusion Processes on Unstructured Meshes. SIAM J. Sci. Comput. 31 (3) (2009)
Lars Ferm, Per Lötstedt, Andreas Hellander
A Hierarchy of Approximations of the Master Equation Scaled by a Size Parameter. J. Sci. Comput. 34 (2) (2008)
Andreas Hellander, Per Lötstedt
Hybrid method for the chemical master equation. J. Comput. Phys. 227 (1) (2007)