Knoll, Christian

13 publications

AISTATS 2025 Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz

ICMLW 2024 Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth, Christian Knoll, Franz Pernkopf, Robert Peharz

ICMLW 2024 Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Sophie Steger, Christian Knoll, Bernhard Klein, Holger Fröning, Franz Pernkopf

ICMLW 2024 Reliability Thresholds for the Bethe Free Energy Approximation Harald Leisenberger, Christian Knoll, Franz Pernkopf

NeurIPS 2022 Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

NeurIPSW 2022 Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen

NeurIPSW 2022 Active Bayesian Causal Inference Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen

UAI 2022 Fixing the Bethe Approximation: How Structural Modifications in a Graph Improve Belief Propagation Harald Leisenberger, Franz Pernkopf, Christian Knoll

UAI 2021 Convergence Behavior of Belief Propagation: Estimating Regions of Attraction via Lyapunov Functions Harald Leisenberger, Christian Knoll, Richard Seeber, Franz Pernkopf

NeurIPSW 2021 Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks Alexander Fuchs, Christian Knoll, Franz Pernkopf

UAI 2019 Belief Propagation: Accurate Marginals or Accurate Partition Function – Where Is the Difference? Christian Knoll, Franz Pernkopf

UAI 2017 On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields Christian Knoll, Franz Pernkopf

ECML-PKDD 2015 Message Scheduling Methods for Belief Propagation Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf