Maximilian Dax

According to our database1, Maximilian Dax authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation.
CoRR, 2024

Real-time gravitational-wave inference for binary neutron stars using machine learning.
CoRR, 2024

2023
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling.
CoRR, 2023

Flow Matching for Scalable Simulation-Based Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Adapting to noise distribution shifts in flow-based gravitational-wave inference.
CoRR, 2022

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference.
CoRR, 2022

Group equivariant neural posterior estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Real-time gravitational-wave science with neural posterior estimation.
CoRR, 2021

Explicitly Modeled Attention Maps for Image Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision.
CoRR, 2019

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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