Christian Knoll

According to our database, Christian Knoll authored at least 16 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Convexity and Reliability of the Bethe Free Energy Approximation.

Harald Leisenberger, Christian Knoll, Franz Pernkopf

CoRR, 2024

Rao-Blackwellising Bayesian Causal Inference.

Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz

CoRR, 2024

2023

Self-Guided Belief Propagation - A Homotopy Continuation Method.

Christian Knoll, Adrian Weller, Franz Pernkopf

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Reliable Belief Propagation: Recent Theoretical and Practical Advances.

Christian Knoll, Franz Pernkopf

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Self-Attention for Enhanced OAMP Detection in MIMO Systems.

Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Understanding the Behavior of Belief Propagation.

Christian Knoll

CoRR, 2022

Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation.

Harald Leisenberger, Franz Pernkopf, Christian Knoll

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Active Bayesian Causal Inference.

Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

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.

Alexander Fuchs, Christian Knoll, Franz Pernkopf

CoRR, 2021

Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions.

Harald Leisenberger, Christian Knoll, Richard Seeber, Franz Pernkopf

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?

Christian Knoll, Franz Pernkopf

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2018

Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation.

Christian Knoll, Dhagash Mehta, Tianran Chen, Franz Pernkopf

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Self-Guided Belief Propagation - A Homotopy Continuation Method.

Christian Knoll, Florian Kulmer, Franz Pernkopf

CoRR, 2018

2017

On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields.

Christian Knoll, Franz Pernkopf

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2015

The Muculants - a Higher-Order Statistical Approach.

Christian Knoll, Bernhard C. Geiger, Gernot Kubin

CoRR, 2015

Message Scheduling Methods for Belief Propagation.

Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015