Benedikt Pfülb

21 papers B 3Journal 11Unranked 6

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