Roel Dobbe

Orcid: 0000-0003-4633-7023

Affiliations:
  • TU Delft, The Netherlands


According to our database1, Roel Dobbe authored at least 33 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Concrete Problems in AI Safety, Revisited.
CoRR, 2024

2023
Inferring Values via Hybrid Intelligence.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Algorithms as Social-Ecological-Technological Systems: an Environmental Justice Lens on Algorithmic Audits.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Trustworthy AI Governance (panel).
Proceedings of the Joint Proceedings of Ongoing Research, 2023

Diagnosing and Addressing Emergent Harms in the Design Process of Public AI and Algorithmic Systems.
Proceedings of the 24th Annual International Conference on Digital Government Research, 2023

Value Inference in Sociotechnical Systems.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Accountable AI for Healthcare IoT Systems.
Proceedings of the 4th IEEE International Conference on Trust, 2022

System Safety and Artificial Intelligence.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Dismantling Digital Cages: Examining Design Practices for Public Algorithmic Systems.
Proceedings of the Electronic Government - 21st IFIP WG 8.5 International Conference, 2022

2021
Hard choices in artificial intelligence.
Artif. Intell., 2021

2020
Model-Free Optimal Voltage Phasor Regulation in Unbalanced Distribution Systems.
IEEE Trans. Smart Grid, 2020

Toward Distributed Energy Services: Decentralizing Optimal Power Flow With Machine Learning.
IEEE Trans. Smart Grid, 2020

Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
On Identification of Distribution Grids.
IEEE Trans. Control. Netw. Syst., 2019

Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation.
CoRR, 2019

Blind identification of fully observed linear time-varying systems via sparse recovery.
Autom., 2019

Distributed Model Predictive Control for Autonomous Droop-Controlled Inverter-Based Microgrids.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
An Integrative Approach to Data-Driven Monitoring and Control of Electric Distribution Networks.
PhD thesis, 2018

A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics.
CoRR, 2018

Data-Driven Decentralized Optimal Power Flow.
CoRR, 2018

Customized Local Differential Privacy for Multi-Agent Distributed Optimization.
CoRR, 2018

Forecasting-Based State Estimation for Three-Phase Distribution Systems with Limited Sensing.
CoRR, 2018

Frequency Regulation in Hybrid Power Dynamics with Variable and Low Inertia due to Renewable Energy.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Blind Identification of Fully Observed Discrete-Time Linear Time-Varying Systems via Sparse Recovery.
CoRR, 2017

Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Reconstruction of Gene Regulatory Networks Based on Repairing Sparse Low-Rank Matrices.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Event Detection and Localization in Distribution Grids with Phasor Measurement Units.
CoRR, 2016

Real-Time Distribution Grid State Estimation with Limited Sensors and Load Forecasting.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Retrieving common dynamics of gene regulatory networks under various perturbations.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Heterogeneity in cancer dynamics: A convex formulation to dissect dynamic trajectories and infer LTV models of networked systems.
Proceedings of the American Control Conference, 2015

2012
A Mathematical Model to Study the Dynamics of Epithelial Cellular Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012


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