Jonas Seng

According to our database1, Jonas Seng authored at least 15 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
All Eyes on the Workflow: Automated and Efficient Event Discovery from Video Streams.
CoRR, April, 2026

2025
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks.
CoRR, May, 2025

Scaling Probabilistic Circuits via Data Partitioning.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Systems with Switching Causal Relations: A Meta-Causal Perspective.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hyperparameter Optimization via Interacting with Probabilistic Circuits.
Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 2025

2024
Ψnet: Efficient Causal Modeling at Scale.
Proceedings of the International Conference on Probabilistic Graphical Models, 2024

Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting.
Proceedings of the International Conference on Automated Machine Learning, 2024

Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching.
Proceedings of the AAAI Bridge Program on Continual Causality, 2024

2023
Continual Causal Abstractions.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Causal Concept Identification in Open World Environments.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Treatment Effect Estimation to Guide Model Optimization in Continual Learning.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

Continually Updating Neural Causal Models.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022
HANF: Hyperparameter And Neural Architecture Search in Federated Learning.
CoRR, 2022

Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation.
CoRR, 2022


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