Christian Knoll

Orcid: 0000-0003-3920-1419

Affiliations:
  • Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria


According to our database1, Christian Knoll authored at least 19 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles.
CoRR, 2024

On the Convexity and Reliability of the Bethe Free Energy Approximation.
CoRR, 2024

Rao-Blackwellising Bayesian Causal Inference.
CoRR, 2024

On Loopy Belief Propagation for SASCAs: An Analysis and Empirical Study of the Inference Problem.
IACR Commun. Cryptol., 2024

2023
Self-Guided Belief Propagation - A Homotopy Continuation Method.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Reliable Belief Propagation: Recent Theoretical and Practical Advances.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Self-Attention for Enhanced OAMP Detection in MIMO Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Understanding the Behavior of Belief Propagation.
CoRR, 2022

Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Active Bayesian Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks.
CoRR, 2021

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2019
Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference?
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018
Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Self-Guided Belief Propagation - A Homotopy Continuation Method.
CoRR, 2018

2017
On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2015
The Muculants - a Higher-Order Statistical Approach.
CoRR, 2015

Message Scheduling Methods for Belief Propagation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015


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