Benedikt Pfülb

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Network Traffic

Gaussian Mixture

Probability Density Function

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

Natalie Kiesler, Benedikt Pfülb
Higher Education Programming Competencies: A Novel Dataset. ICANN (8) (2023)
Benedikt Pfülb
Continual Learning with Deep Learning Methods in an Application-Oriented Context. CoRR (2022)
Alexander Gepperth, Benedikt Pfülb
Image Modeling with Deep Convolutional Gaussian Mixture Models. CoRR (2021)
Alexander Gepperth, Benedikt Pfülb
Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data. Neural Process. Lett. 53 (6) (2021)
Natalie Kiesler, Benedikt Pfülb
The Boolean Dilemma: Representing Gender as Data Type. Koli Calling (2021)
Benedikt Pfülb, Alexander Gepperth
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. IJCNN (2021)
Alexander Gepperth, Benedikt Pfülb
Image Modeling with Deep Convolutional Gaussian Mixture Models. IJCNN (2021)
Benedikt Pfülb, Alexander Gepperth
Overcoming Catastrophic Forgetting with Gaussian Mixture Replay. CoRR (2021)
Benedikt Pfülb, Alexander Gepperth, Benedikt Bagus
Continual Learning with Fully Probabilistic Models. CoRR (2021)
Alexander Gepperth, Benedikt Pfülb
A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. CoRR (2020)
Alexander Gepperth, Benedikt Pfülb
A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models. ICANN (2) (2020)
Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth
Predicting Network Flow Characteristics Using Deep Learning and Real-World Network Traffic. IEEE Trans. Netw. Serv. Manag. 17 (4) (2020)
Christoph Hardegen, Benedikt Pfülb, Sebastian Rieger, Alexander Gepperth, Sven Reißmann
Flow-based Throughput Prediction using Deep Learning and Real-World Network Traffic. CNSM (2019)
Benedikt Pfülb, Alexander Gepperth
A comprehensive, application-oriented study of catastrophic forgetting in DNNs. ICLR (Poster) (2019)
Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian
Catastrophic forgetting: still a problem for DNNs. CoRR (2019)
Benedikt Pfülb, Alexander Gepperth
A comprehensive, application-oriented study of catastrophic forgetting in DNNs. CoRR (2019)
Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger
A Study of Deep Learning for Network Traffic Data Forecasting. CoRR (2019)
Benedikt Pfülb, Christoph Hardegen, Alexander Gepperth, Sebastian Rieger
A Study of Deep Learning for Network Traffic Data Forecasting. ICANN (4) (2019)
Alexander Gepperth, Benedikt Pfülb
Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces. CoRR (2019)
Benedikt Pfülb, Alexander Gepperth, Saad Abdullah, André Kilian
Catastrophic Forgetting: Still a Problem for DNNs. ICANN (1) (2018)