Andreas Hellander

66 papers A* 1B 6C 1Misc 2Journal 49Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching. CoRR Li Ju, Mayank Nautiyal, Andreas Hellander, Ekta Vats, Prashant Singh
2026	J	`jnl`	OneFlowSBI: One Model, Many Queries for Simulation-Based Inference. CoRR Mayank Nautiyal, Li Ju, Melker Ernfors, Klara Hagland, Ville Holma, Maximilian Werkö Söderholm, Andreas Hellander, Prashant Singh
2025	B	`conf`	Accelerating Simulation-Based Inference with Variational Autoencoders. IJCNN Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant Singh
2025	J	`jnl`	ConDiSim: Conditional Diffusion Models for Simulation Based Inference. CoRR Mayank Nautiyal, Andreas Hellander, Prashant Singh
2025	J	`jnl`	Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere. CoRR Li Ju, Max Andersson, Stina Fredriksson, Edward Glöckner, Andreas Hellander, Ekta Vats, Prashant Singh
2025	J	`jnl`	From Research to Reality: Feasibility of Gradient Inversion Attacks in Federated Learning. CoRR Viktor Valadi, Mattias Åkesson, Johan Östman, Salman Toor, Andreas Hellander
2024	J	`jnl`	Data management of scientific applications in a reinforcement learning-based hierarchical storage system. Expert Syst. Appl. Tianru Zhang, Ankit Gupta, María Andreína Francisco Rodríguez, Ola Spjuth, Andreas Hellander, Salman Toor
2024	J	`jnl`	Toward efficient resource utilization at edge nodes in federated learning. Prog. Artif. Intell. Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
2024	J	`jnl`	Variational Autoencoders for Efficient Simulation-Based Inference. CoRR Mayank Nautiyal, Andrey Shternshis, Andreas Hellander, Prashant Singh
2023	J	`jnl`	Accelerating Fair Federated Learning: Adaptive Federated Adam. CoRR Li Ju, Tianru Zhang, Salman Toor, Andreas Hellander
2023	J	`jnl`	Contributions of cell behavior to geometric order in embryonic cartilage. PLoS Comput. Biol. Sonja Mathias, Igor Adameyko, Andreas Hellander, Jochen Kursawe
2023	A*	`conf`	Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract. ICDE Tianru Zhang, Andreas Hellander, Salman Toor
2023	J	`jnl`	Efficient Hierarchical Storage Management Empowered by Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Tianru Zhang, Andreas Hellander, Salman Toor
2023	J	`jnl`	FedBot: Enhancing Privacy in Chatbots with Federated Learning. CoRR Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
2023	J	`jnl`	Toward efficient resource utilization at edge nodes in federated learning. CoRR Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
2022	J	`jnl`	CBMOS: a GPU-enabled Python framework for the numerical study of center-based models. BMC Bioinform. Sonja Mathias, Adrien Coulier, Andreas Hellander
2022	J	`jnl`	Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. IEEE ACM Trans. Comput. Biol. Bioinform. Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander
2022	J	`jnl`	Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning. CoRR Tianru Zhang, Salman Toor, Andreas Hellander
2022	J	`jnl`	FedQAS: Privacy-aware machine reading comprehension with federated learning. CoRR Addi Ait-Mlouk, Sadi Alawadi, Salman Toor, Andreas Hellander
2022	J	`jnl`	Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. Richard M. Jiang, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold
2022	B	`conf`	Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
2022	B	`conf`	Scalable federated machine learning with FEDn. CCGRID Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander
2022	J	`jnl`	Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation. PLoS Comput. Biol. Adrien Coulier, Prashant Singh, Marc Sturrock, Andreas Hellander
2021	J	`jnl`	Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold
2021	J	`jnl`	Approaches for containerized scientific workflows in cloud environments with applications in life science. F1000Research 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 A. Moreno, Andreas Hellander, Payam Emami Khoonsari, Stephanie Herman, Kim Kultima, Samuel Lampa
2021	J	`jnl`	Epidemiological modeling in StochSS Live! Bioinform. Richard M. Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda R. Petzold
2021	J	`jnl`	Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh
2021	J	`jnl`	Scalable federated machine learning with FEDn. CoRR Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander
2021	J	`jnl`	Scalable machine learning-assisted model exploration and inference using Sciope. Bioinform. Prashant Singh, Fredrik Wrede, Andreas Hellander
2020	J	`jnl`	Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. CoRR Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander
2020	—	`conf`	Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. IEEE BigData Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
2020	J	`jnl`	Smart Resource Management for Data Streaming using an Online Bin-packing Strategy. CoRR Oliver Stein, Ben Blamey, Johan Karlsson, Alan Sabirsh, Ola Spjuth, Andreas Hellander, Salman Toor
2019	J	`jnl`	Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads. CoRR Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
2019	B	`conf`	Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. CCGRID Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
2019	—	`conf`	Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing. Bench Ben Blamey, Andreas Hellander, Salman Toor
2019	J	`jnl`	Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy. CoRR Ben Blamey, Ida-Maria Sintorn, Andreas Hellander, Salman Toor
2019	J	`jnl`	Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning. Bioinform. Fredrik Wrede, Andreas Hellander
2018	J	`jnl`	Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison. CoRR Ben Blamey, Andreas Hellander, Salman Zubair Toor
2018	J	`jnl`	BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data. BMC Bioinform. Kristiina Ausmees, Aji John, Salman Zubair Toor, Andreas Hellander, Carl Nettelblad
2018	—	`conf`	HarmonicIO: Scalable Data Stream Processing for Scientific Datasets. IEEE CLOUD Preechakorn Torruangwatthana, Håkan Wieslander, Ben Blamey, Andreas Hellander, Salman Zubair Toor
2018	Misc	`conf`	Hyperparameter Optimization for Approximate Bayesian Computation. WSC Prashant Singh, Andreas Hellander
2018	J	`jnl`	Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits. CoRR Prashant Singh, Andreas Hellander
2018	—	`conf`	Orchestral: A Lightweight Framework for Parallel Simulations of Cell-Cell Communication. eScience Adrien Coulier, Andreas Hellander
2017	C	`conf`	Cost-aware Application Development and Management using CLOUD-METRIC. CLOSER Alieu Jallow, Andreas Hellander, Salman Zubair Toor
2017	J	`jnl`	Robustness Analysis of Spatiotemporal Models in the Presence of Extrinsic Fluctuations. SIAM J. Appl. Math. Andreas Hellander, Jan Klosa, Per Lötstedt, Shev MacNamara
2017	—	`conf`	SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia. eScience 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
2017	Misc	`conf`	Surrogate assisted model reduction for stochastic biochemical reaction networks. WSC Prashant Singh, Andreas Hellander
2016	J	`jnl`	Analysis and Design of Jump Coefficients in Discrete Stochastic Diffusion Models. SIAM J. Sci. Comput. Lina Meinecke, Stefan Engblom, Andreas Hellander, Per Lötstedt
2016	J	`jnl`	MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME. SIAM J. Sci. Comput. Brian Drawert, Michael Trogdon, Salman Zubair Toor, Linda R. Petzold, Andreas Hellander
2016	J	`jnl`	Mesoscopic Modeling of Stochastic Reaction-Diffusion Kinetics in the Subdiffusive Regime. Multiscale Model. Simul. Emilie Blanc, Stefan Engblom, Andreas Hellander, Per Lötstedt
2016	J	`jnl`	Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. PLoS Comput. Biol. 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
2015	J	`jnl`	MOLNs: A cloud platform for interactive, reproducible and scalable spatial stochastic computational experiments in systems biology using PyURDME. CoRR Brian Drawert, Michael Trogdon, Salman Zubair Toor, Linda R. Petzold, Andreas Hellander
2014	—	`conf`	Automatic and portable cloud deployment for scientific simulations. HPCS Christopher B. Horuk, Geoffrey Douglas, Anand Gupta, Chandra Krintz, Benjamin B. Bales, Giovanni Bellesia, Brian Drawert, Rich Wolski, Linda R. Petzold, Andreas Hellander
2014	J	`jnl`	Local error estimates for adaptive simulation of the reaction-diffusion master equation via operator splitting. J. Comput. Phys. Andreas Hellander, Michael J. Lawson, Brian Drawert, Linda R. Petzold
2013	J	`jnl`	Local error estimates for adaptive simulation of the Reaction-Diffusion Master Equation via operator splitting CoRR Andreas Hellander, Michael J. Lawson, Brian Drawert, Linda R. Petzold
2013	B	`conf`	Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store. e-Science Andrej Andrejev, Salman Zubair Toor, Andreas Hellander, Sverker Holmgren, Tore Risch
2012	—	`conf`	Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology. BIOINFORMATICS Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold
2012	J	`jnl`	Coupled Mesoscopic and Microscopic Simulation of Stochastic Reaction-Diffusion Processes in Mixed Dimensions. Multiscale Model. Simul. Andreas Hellander, Stefan Hellander, Per Lötstedt
2012	B	`conf`	Reducing Complexity in Management of eScience Computations. CCGRID Per-Olov Östberg, Andreas Hellander, Brian Drawert, Erik Elmroth, Sverker Holmgren, Linda R. Petzold
2012	J	`jnl`	URDME: a modular framework for stochastic simulation of reaction-transport processes in complex geometries. BMC Syst. Biol. Brian Drawert, Stefan Engblom, Andreas Hellander
2010	J	`jnl`	An adaptive algorithm for simulation of stochastic reaction-diffusion processes. J. Comput. Phys. Lars Ferm, Andreas Hellander, Per Lötstedt
2010	J	`jnl`	CellMC - a multiplatform model compiler for the Cell Broadband Engine and x86. Bioinform. Emmet Caulfield, Andreas Hellander
2010	J	`jnl`	Incorporating Active Transport of Cellular Cargo in Stochastic Mesoscopic Models of Living Cells. Multiscale Model. Simul. Andreas Hellander, Per Lötstedt
2009	J	`jnl`	Simulation of Stochastic Reaction-Diffusion Processes on Unstructured Meshes. SIAM J. Sci. Comput. Stefan Engblom, Lars Ferm, Andreas Hellander, Per Lötstedt
2008	J	`jnl`	A Hierarchy of Approximations of the Master Equation Scaled by a Size Parameter. J. Sci. Comput. Lars Ferm, Per Lötstedt, Andreas Hellander
2007	J	`jnl`	Hybrid method for the chemical master equation. J. Comput. Phys. Andreas Hellander, Per Lötstedt