Thomas M. Sutter

Orcid: 0000-0001-7503-4473

According to our database1, Thomas M. Sutter authored at least 13 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Anomaly Detection by Context Contrasting.
CoRR, 2024

Unity by Diversity: Improved Representation Learning in Multimodal VAEs.
CoRR, 2024

2023
Imposing and Uncovering Group Structure in Weakly-Supervised Learning.
PhD thesis, 2023

Differentiable Random Partition Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Group Importance using the Differentiable Hypergeometric Distribution.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

M(otion)-Mode Based Prediction of Ejection Fraction Using Echocardiograms.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Continuous Relaxation For The Multivariate Non-Central Hypergeometric Distribution.
CoRR, 2022

On the Limitations of Multimodal VAEs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.
J. Am. Medical Informatics Assoc., 2021

Generalized Multimodal ELBO.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Generation of Differentially Private Heterogeneous Electronic Health Records.
CoRR, 2020

Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-supervised Disentanglement of Modality-Specific and Shared Factors Improves Multimodal Generative Models.
Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020


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