Sindri Magnússon

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 63

Top Venues

CoRR

CDC

ECC

IEEE Trans. Control. Netw. Syst.

Royal Institute of Technology, Stockholm, Sweden (PHD)

Education History

Royal Institute of Technology, Stockholm, Sweden

PHD

Publications

Ali Beikmohammadi, Mohammad Hosein Hamian, Neda Khoeyniha, Tony Lindgren, Olof Steinert, Sindri Magnússon
A Cost-Sensitive Transformer Model for Prognostics Under Highly Imbalanced Industrial Data. CoRR (2024)
Diego R. Benalcázar, Sindri Magnússon, Chinwendu Enyioha
Average Consensus With Error Correction. IEEE Control. Syst. Lett. 8 (2024)
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
Distributed Momentum Methods Under Biased Gradient Estimations. CoRR (2024)
Ali Beikmohammadi, Sindri Magnússon
Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge. Inf. Sci. 661 (2024)
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
On the Convergence of Federated Learning Algorithms without Data Similarity. CoRR (2024)
Zahra Kharazian, Tony Lindgren, Sindri Magnússon, Olof Steinert, Oskar Andersson Reyna
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance. CoRR (2024)
Mohsen Amiri, Sindri Magnússon
On the Convergence of TD-Learning on Markov Reward Processes with Hidden States. ECC (2024)
Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon
Compressed Federated Reinforcement Learning with a Generative Model. CoRR (2024)
Ali Beikmohammadi, Sindri Magnússon
Human-Inspired Framework to Accelerate Reinforcement Learning. CoRR (2023)
Shubham Vaishnav, Maria Efthymiou, Sindri Magnússon
Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning. ICC (2023)
Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen, Ruijie Guo
Improving and Analyzing Sketchy High-Fidelity Free-Eye Drawing. Conference on Designing Interactive Systems (2023)
Xuyang Wu, Sindri Magnússon, Mikael Johansson
Distributed safe resource allocation using barrier functions. Autom. 153 (2023)
Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
Delay-Agnostic Asynchronous Distributed Optimization. CDC (2023)
Lida Huang, Thomas Westin, Mirjam Palosaari Eladhari, Sindri Magnússon, Hao Chen
Eyes can draw: A high-fidelity free-eye drawing method with unimodal gaze control. Int. J. Hum. Comput. Stud. 170 (2023)
Ali Beikmohammadi, Sindri Magnússon
TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning. AAMAS (2023)
Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
Improved Step-Size Schedules for Proximal Noisy Gradient Methods. IEEE Trans. Signal Process. 71 (2023)
Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023)
Ali Beikmohammadi, Sindri Magnússon
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. CoRR (2023)
Ali Beikmohammadi, Sindri Magnússon
Comparing NARS and Reinforcement Learning: An Analysis of ONA and Q-Learning Algorithms. AGI (2023)
Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
Asynchronous Distributed Optimization with Delay-free Parameters. CoRR (2023)
Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA (2023)
Kaiji Sun, Sindri Magnússon, Olof Steinert, Tony Lindgren
Robust Contrastive Learning and Multi-shot Voting for High-dimensional Multivariate Data-driven Prognostics. ICPHM (2023)
Shubham Vaishnav, Sindri Magnússon
Intelligent Processing of Data Streams on the Edge Using Reinforcement Learning. ICC Workshops (2023)
Thomas Ohlson Timoudas, Silun Zhang, Sindri Magnússon, Carlo Fischione
A General Framework to Distribute Iterative Algorithms With Localized Information Over Networks. IEEE Trans. Autom. Control. 68 (12) (2023)
Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML (2023)
Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
Policy Evaluation with Delayed, Aggregated Anonymous Feedback. DS (2022)
Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson
Delay-Adaptive Step-sizes for Asynchronous Learning. ICML (2022)
Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson
Delay-adaptive step-sizes for asynchronous learning. CoRR (2022)
Sarit Khirirat, Sindri Magnússon, Mikael Johansson
Eco-Fedsplit: Federated Learning with Error-Compensated Compression. ICASSP (2022)
Lida Huang, Mirjam Palosaari Eladhari, Sindri Magnússon, Thomas Westin, Nanxu Su
Interactive Painting Volumetric Cloud Scenes with Simple Sketches Based on Deep Learning. HSI (2022)
Ludvig Lindström, Sebin Gracy, Sindri Magnússon, Henrik Sandberg
Leakage Localization in Water Distribution Networks: A Model-Based Approach. ECC (2022)
Xuyang Wu, Sindri Magnússon, Hamid Reza Feyzmahdavian, Mikael Johansson
Optimal convergence rates of totally asynchronous optimization. CDC (2022)
Xuyang Wu, Sindri Magnússon, Mikael Johansson
A New Family of Feasible Methods for Distributed Resource Allocation. CDC (2021)
Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
On the Convergence of Step Decay Step-Size for Stochastic Optimization. NeurIPS (2021)
Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
On the Convergence of Step Decay Step-Size for Stochastic Optimization. CoRR (2021)
Sarit Khirirat, Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
Improved Step-Size Schedules for Noisy Gradient Methods. ICASSP (2021)
Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson
A Flexible Framework for Communication-Efficient Machine Learning. AAAI (2021)
Erik Berglund, Sindri Magnússon, Mikael Johansson
Distributed Newton Method Over Graphs: Can Sharing of Second-Order Information Eliminate the Condition Number Dependence? IEEE Signal Process. Lett. 28 (2021)
Sarit Khirirat, Sindri Magnússon, Mikael Johansson
Compressed Gradient Methods With Hessian-Aided Error Compensation. IEEE Trans. Signal Process. 69 (2021)
Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. IEEE Trans. Signal Process. 68 (2020)
Hossein Shokri Ghadikolaei, Sindri Magnússon
Communication-efficient Variance-reduced Stochastic Gradient Descent. CoRR (2020)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid 11 (4) (2020)
Rong Du, Sindri Magnússon, Carlo Fischione
The Internet of Things as a Deep Neural Network. IEEE Commun. Mag. 58 (9) (2020)
Rong Du, Sindri Magnússon, Carlo Fischione
The Internet of Things as a Deep Neural Network. CoRR (2020)
Sarit Khirirat, Sindri Magnússon, Mikael Johansson
Convergence Bounds for Compressed Gradient Methods with Memory Based Error Compensation. ICASSP (2019)
Sindri Magnússon, Carlo Fischione, Na Li
Optimal Voltage Control Using Event Triggered Communication. e-Energy (2019)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Voltage Control with Communication Delays. ACC (2019)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Voltage Control with Communication Delays. CoRR (2019)
Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li
Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. ACSSC (2019)
Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication. CoRR (2019)
Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
Convergence of Limited Communication Gradient Methods. IEEE Trans. Autom. Control. 63 (5) (2018)
Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. IEEE J. Sel. Top. Signal Process. 12 (4) (2018)
Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione
A distributed approach for the optimal power flow problem. ECC (2016)
Sindri Magnússon, Martin Jakobsson, Carlo Fischione, Pradeep Chathuranga Weeraddana
On some extensions of Fast-Lipschitz optimization. ECC (2016)
Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
Distributed resource allocation using one-way communication with applications to power networks. CISS (2016)
Sindri Magnússon, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks. CoRR (2016)
Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
Robustness Analysis for an Online Decentralized Descent Power allocation algorithm. CoRR (2016)
Chinwendu Enyioha, Sindri Magnússon, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
Robustness analysis for an online decentralized descent power allocation algorithm. ITA (2016)
Martin Jakobsson, Sindri Magnússon, Carlo Fischione, Pradeep Chathuranga Weeraddana
Extensions of Fast-Lipschitz Optimization. IEEE Trans. Autom. Control. 61 (4) (2016)
Sindri Magnússon, Kathryn Heal, Chinwendu Enyioha, Na Li, Carlo Fischione, Vahid Tarokh
Convergence of limited communications gradient methods. ACC (2016)
Sindri Magnússon, Chinwendu Enyioha, Na Li, Carlo Fischione
Practical coding schemes for bandwidth limited one-way communication resource allocation. CDC (2016)
Sindri Magnússon, Pradeep Chathuranga Weeraddana, Michael G. Rabbat, Carlo Fischione
On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems. IEEE Trans. Control. Netw. Syst. 3 (3) (2016)
Sindri Magnússon, Pradeep Chathuranga Weeraddana, Carlo Fischione
A Distributed Approach for the Optimal Power-Flow Problem Based on ADMM and Sequential Convex Approximations. IEEE Trans. Control. Netw. Syst. 2 (3) (2015)
Sindri Magnússon, P. C. Weeraddana, Michael G. Rabbat, Carlo Fischione
On the convergence of an alternating direction penalty method for nonconvex problems. ACSSC (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sindri Magnússon