Outputs (256)

Stability Analysis of a Quantum Network with Max-Weight Scheduling (2021)
Other
Vasantam, T., & Towsley, D. (2021). Stability Analysis of a Quantum Network with Max-Weight Scheduling

Towards priority-awareness in autonomous intelligent systems (2021)
Presentation / Conference Contribution
Samin, H., Paucar, L. H. G., Bencomo, N., & Sawyer, P. (2021, December). Towards priority-awareness in autonomous intelligent systems. Presented at SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, Republic of Korea, March 22-26, 2021

Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games (2021)
Presentation / Conference Contribution
Lieck, R., Wall, L., & Rohrmeier, M. A. (2021, December). Discretisation and Continuity: Simulating the Emergence of Symbols in Communication Games. Presented at Proceedings of the Annual Meeting of the Cognitive Science Society, Vienna, Austria

“Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving (2021)
Presentation / Conference Contribution
Stelling, J., & Atapour-Abarghouei, A. (2021, December). “Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. Presented at 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Orlando, FL, USA

Biases can filter into AI technology without our knowledge. Oftentimes, seminal deep learning networks champion increased accuracy above all else. In this paper, we attempt to alleviate biases encountered by semantic segmentation models in urban driv... Read More about “Just Drive”: Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving.

Agent-Based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets (2021)
Journal Article
Bucchiarone, A., Sanctis, M. D., & Bencomo, N. (2021). Agent-Based Framework for Self-Organization of Collective and Autonomous Shuttle Fleets. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3631-3643. https://doi.org/10.1109/tits.2020.3021592

Generating Extreme-Scale Matrices with Specified Singular Values or Condition Numbers (2021)
Journal Article
Fasi, M., & Higham, N. J. (2021). Generating Extreme-Scale Matrices with Specified Singular Values or Condition Numbers. SIAM Journal on Scientific Computing, 43(1), A663-A684. https://doi.org/10.1137/20m1327938

Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks (2021)
Presentation / Conference Contribution
Lieck, R., & Rohrmeier, M. (2021, December). Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. Presented at Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021

Sensitivity of mean-field fluctuations in Erlang loss models with randomized routing (2021)
Journal Article
Vasantam, T., & Mazumdar, R. R. (2021). Sensitivity of mean-field fluctuations in Erlang loss models with randomized routing. Journal of Applied Probability, 58(2), https://doi.org/10.1017/jpr.2020.99

Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software (2021)
Presentation / Conference Contribution
Samfass, P., Weinzierl, T., Reinarz, A., & Bader, M. (2021, November). Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software. Presented at Supercomputing 21 - FTXS Workshop - 2021 IEEE/ACM 11th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), St Louis, MO

Resilient algorithms in high-performance computing are subject to rigorous non-functional constraints. Resiliency must not increase the runtime, memory footprint or I/O demands too significantly. We propose a task-based soft error detection scheme th... Read More about Doubt and Redundancy Kill Soft Errors---Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software.

Reward-Reinforced Reinforcement Learning for Multi-agent Systems (2021)
Journal Article
Zheng, C., Yang, S., Ullauri, J. M. P., García-Domínguez, A., & Bencomo, N. (2021). Reward-Reinforced Reinforcement Learning for Multi-agent Systems. CoRR - Computing Research Repository, abs/2103.12192,