Franz Pernkopf
26 papers · 2010–2025 · 8 venues · across top CS/AI venues
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Achievements
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(10)
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The Questioner
(2)
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(122)
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Research topics
Machine Learning
(24)
Core Methods
(14)
Optimization & Theory
(13)
Artificial Intelligence
(12)
Deep Learning
(10)
Architectures
(9)
Learning Types
(9)
Speech & Audio
(7)
Application Areas
(7)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Core AI
(5)
Recognition
(4)
Synthesis
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Keywords
graphical model
(4)
gaussian process
(3)
neural network
(3)
structure learning
(3)
bayesian network
(3)
belief propagation
(3)
sum-product network
(2)
conditional random field
(2)
bayesian network classifier
(2)
bayesian inference
(2)
recurrent neural network
(2)
support vector machine
(2)
maximum margin
(2)
probabilistic modeling
(2)
virtual adversarial training
(2)
speech processing
(2)
speech enhancement
(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
Active Bayesian Causal Inference
NeurIPS 2022
Example or Prototype? Learning Concept-Based
Explanations in Time-Series
ACML 2022
Fixing the Bethe approximation: How structural modifications in a graph improve belief propagation
UAI 2022
Homophone Disambiguation Profits from Durational Information
Interspeech 2022
Acoustic Echo Cancellation with Cross-Domain Learning
Interspeech 2021
Autonomous Robot for Measuring Room Impulse Responses
Interspeech 2021
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions
UAI 2021
Deep Structured Mixtures of Gaussian Processes
AISTATS 2020
Differentiable TAN Structure Learning for Bayesian Network
Classifiers
PGM 2020
Nonlinear Residual Echo Suppression Using a Recurrent Neural Network
Interspeech 2020
Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation
Interspeech 2019
Bayesian Learning of Sum-Product Networks
NeurIPS 2019
Belief Propagation: Accurate Marginals or Accurate Partition Function β Where is the Difference?
UAI 2019
Eigenvector-Based Speech Mask Estimation Using Logistic Regression
Interspeech 2017
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
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development
Interspeech 2016
Phase-Aware Signal Processing for Automatic Speech Recognition
Interspeech 2016
Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification
Interspeech 2016
On Theoretical Properties of Sum-Product Networks
AISTATS 2015
General Stochastic Networks for Classification
NeurIPS 2014
On the Asymptotic Optimality of Maximum Margin Bayesian Networks
AISTATS 2013
The Most Generative Maximum Margin Bayesian Networks
ICML 2013
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
JMLR 2010