← Authors

Franz Pernkopf

26 papers · 2010–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (113) πŸš€ Conference Pioneer πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ❓ The Questioner (2)

Conferences

INTERSPEECH (11) AISTATS (4) NIPS (3) UAI (3) JMLR (2) ACML (1) ICML (1) PGM (1)

Top co-authors

Robert Peharz (8) Sebastian Tschiatschek (6) Christian Knoll (5) Lukas Pfeifenberger (4) Matthias ZΓΆhrer (4) Wolfgang Roth (3) Harald Leisenberger (2) Martin Trapp (2) Martin Ratajczak (2) Christian Toth (2)

Keywords

graphical model (4) neural network (3) belief propagation (3) structure learning (3) bayesian network (3) sum-product network (2) conditional random field (2) bayesian network classifier (2) bayesian inference (2) support vector machine (2) recurrent neural network (2) maximum margin (2) virtual adversarial training (2) probabilistic modeling (2) speech processing (2) speech enhancement (2) gaussian process (2) discriminative learning (2) generative model (2) convolutional neural network (2)

Papers

Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders AISTATS 2025
Resource-Efficient Neural Networks for Embedded Systems JMLR 2024
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation UAI 2022
Active Bayesian Causal Inference NIPS 2022
Example or Prototype? Learning Concept-Based Explanations in Time-Series ACML 2022
Homophone Disambiguation Profits from Durational Information INTERSPEECH 2022
Autonomous Robot for Measuring Room Impulse Responses INTERSPEECH 2021
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions UAI 2021
Acoustic Echo Cancellation with Cross-Domain Learning INTERSPEECH 2021
Nonlinear Residual Echo Suppression Using a Recurrent Neural Network INTERSPEECH 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020
Deep Structured Mixtures of Gaussian Processes AISTATS 2020
Bayesian Learning of Sum-Product Networks NIPS 2019
Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation INTERSPEECH 2019
Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference? UAI 2019
Frame and Segment Level Recurrent Neural Networks for Phone Classification INTERSPEECH 2017
Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks INTERSPEECH 2017
Eigenvector-Based Speech Mask Estimation Using Logistic Regression INTERSPEECH 2017
Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification INTERSPEECH 2016
Phase-Aware Signal Processing for Automatic Speech Recognition INTERSPEECH 2016
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development INTERSPEECH 2016
On Theoretical Properties of Sum-Product Networks AISTATS 2015
General Stochastic Networks for Classification NIPS 2014
The Most Generative Maximum Margin Bayesian Networks ICML 2013
On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers JMLR 2010