Opper, Manfred

1. Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
   2018/02/18 by Wenzel, Florian, Galy-Fajou, Theo, Donner, Christan +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. GP-ETAS: Semiparametric Bayesian inference for the spatio-temporal Epidemic Type Aftershock Sequence model
   2020/05/26 by Molkenthin, Christian, Donner, Christian, Reich, Sebastian +4 · 2 citations
   #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph)
3. Temporal Autoencoding Improves Generative Models of Time Series
   2013/09/12 by Chris Häusler, Alex Susemihl, Häusler, Chris +5 · 2 citations
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Time Series Analysis and Forecasting
4. Variational Inference for SDEs Driven by Fractional Noise
   2023/10/19 by Rembert Daems, Manfred Opper, Daems, Rembert +5 · 2 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Machine Learning in Healthcare #Generative Adversarial Networks and Image Synthesis
5. Adaptive Inducing Points Selection For Gaussian Processes
   2021/07/21 by Galy-Fajou, Théo, Opper, Manfred · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Nonlinear Hawkes Process with Gaussian Process Self Effects
   2021/05/20 by Noa Malem-Shinitski, César Ojeda, Malem-Shinitski, Noa +3 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Diffusion and Search Dynamics #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Point processes and geometric inequalities
7. Generative Fractional Diffusion Models
   2023/10/26 by Nobis, Gabriel, Springenberg, Maximilian, Aversa, Marco +11 · 2 citations
   #F.4.1 #FOS: Computer and information sciences #G.3 #I.2.4 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
   2019/05/23 by Théo Galy-Fajou, Florian Wenzel, Galy-Fajou, Théo +5 · 1 citation
   Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Joint Message Detection, Channel, and User Position Estimation for Unsourced Random Access in Cell-Free Networks
   2024/08/15 by Gkiouzepi, Eleni, Çakmak, Burak, Opper, Manfred +1 · 1 citation
   #FOS: Computer and information sciences #Information Theory (cs.IT)
10. Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
    2024/05/06 by Winkler, Ludwig, Richter, Lorenz, Opper, Manfred · 1 citation
    #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR)