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Franz Pernkopf

  1. Active Bayesian Causal Inference
    2022/06/04 by Christian Toth, Lars Lorch, Toth, Christian +11 · 1 voice · 8 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
  2. Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles
    2024/12/20 by Sophie Steger, Steger, Sophie, Christian Knoll +7 · 6 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Time Series Analysis and Forecasting #Neural Networks and Applications
  3. Bayesian Learning of Sum-Product Networks
    2019/05/26 by Martin Trapp, Trapp, Martin, Robert Peharz +7 · 2 citations
    Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Variational Inference of Structured Line Spectra Exploiting Group-Sparsity
    2023/03/06 by Jakob Möderl, Möderl, Jakob, Franz Pernkopf +5 · 5 citations
    Computer Science · Earth and Planetary Sciences · Engineering · #Audio and Speech Processing (eess.AS) #Blind Source Separation Techniques #FOS: Electrical engineering #Signal Processing (eess.SP) #Structural Health Monitoring Techniques #Underwater Acoustics Research #electronic engineering #information engineering
  5. Fixed Points of Belief Propagation -- An Analysis via Polynomial Homotopy Continuation
    2016/05/20 by Christian Knoll, Franz Pernkopf, Knoll, Christian +5 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Algebraic Geometry (math.AG) #Bayesian Modeling and Causal Inference #Error Correcting Code Techniques #FOS: Computer and information sciences #FOS: Mathematics #Gene Regulatory Network Analysis #Machine Learning (stat.ML)
  6. Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
    2024/02/22 by Christian Toth, Toth, Christian, Christian Knoll +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  7. End-to-end Keyword Spotting using Neural Architecture Search and Quantization
    2021/04/14 by David Peter, Peter, David, Wolfgang R. Roth +3 · 1 citation
    Computer Science · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing #electronic engineering #information engineering
  8. Stochasticity in Tokenisation Improves Robustness
    2026/04/17 by Sophie Steger, Rui Li, Sofiane Ennadir +4 · 1 voice · 1 citation
    #cs.CL