Robert Müller

Orcid: 0000-0003-3108-713X

Affiliations:
  • LMU Munich, Munich, Germany


According to our database1, Robert Müller authored at least 30 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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10
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Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Coconut Palm Tree Counting on Drone Images with Deep Object Detection and Synthetic Training Data.
CoRR, 2024

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling.
CoRR, 2024

ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Applying QNLP to Sentiment Analysis in Finance.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Adapting the DisCoCat-Model for Question Answering in the Chinese Language.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Weight Re-mapping for Variational Quantum Algorithms.
Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

2022
Case-Based Inverse Reinforcement Learning Using Temporal Coherence.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Quantifying Multimodality in World Models.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Anomaly Detection in Reinforcement Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
A Deep and Recurrent Architecture for Primate Vocalization Classification.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Visual Transformers for Primates Classification and Covid Detection.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Distributed Emergent Agreements with Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Recurrent Interpolation Networks for Anomalous Sound Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

Stochastic Market Games.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Specification Aware Multi-Agent Reinforcement Learning.
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Acoustic Leak Detection in Water Networks.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Analysis of Feature Representations for Anomalous Sound Detection.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting.
Proceedings of the 2020 Conference on Artificial Life, 2020

Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.
Proceedings of the Computational Science - ICCS 2020, 2020

Policy Entropy for Out-of-Distribution Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.
CoRR, 2019

Soccer Team Vectors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Difficulty Classification of Mountainbike Downhill Trails Utilizing Deep Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Deep Neural Baselines for Computational Paralinguistics.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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