Andre Beckus

Orcid: 0000-0001-7182-0776

According to our database1, Andre Beckus authored at least 18 papers between 2018 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning.
CoRR, 2023

On the Robustness of AlphaFold: A COVID-19 Case Study.
CoRR, 2023

2022
Controller Synthesis for Omega-Regular and Steady-State Specifications.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Multi-Agent Tree Search with Dynamic Reward Shaping.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning.
Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021
Steady-State Planning in Expected Reward Multichain MDPs.
J. Artif. Intell. Res., 2021

Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes.
CoRR, 2021

Scalable Community Detection in the Degree-Corrected Stochastic Block Model.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Scalable and Robust Community Detection With Randomized Sketching.
IEEE Trans. Signal Process., 2020

Verifiable Planning in Expected Reward Multichain MDPs.
CoRR, 2020

Sketch-based community detection in evolving networks.
CoRR, 2020

Steady-State Policy Synthesis in Multichain Markov Decision Processes.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Sketch-based Community Detection via Representative Node Sampling.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Multi-Modal Non-Line-of-Sight Passive Imaging.
IEEE Trans. Image Process., 2019

Scalable Community Detection In The Heterogeneous Stochastic Block Model.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

A Sequential and Scalable Approach to Community Detection in Dynamic Graphs.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Randomized Robust matrix Completion for the Community Detection Problem.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018


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