Cedric Kulbach

15 papers A 1C 1Misc 1Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepRiver: A Deep Learning Library for Data Streams.
J. Open Source Softw.
Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Max Halford, Saulo Martiello Mastelini
2024 J jnl
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning.
CoRR
Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
2024 — conf
Optimizing the Learning Rate for the Online Training of Neural Networks.
CoLLAs
Lucas Cazzonelli, Cedric Kulbach, Steffen Thoma
2023 — conf
A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning.
PKDD/ECML Workshops (1)
Cedric Kulbach, Lucas Cazzonelli, Hoang-Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet
2023 — —
Adaptive Automated Machine Learning.
Cedric Kulbach
2023 J jnl
TSInterpret: A Python Package for the Interpretability of Time Series Classification.
J. Open Source Softw.
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
2022 — conf
Detecting Anomalies with Autoencoders on Data Streams.
ECML/PKDD (1)
Lucas Cazzonelli, Cedric Kulbach
2022 — conf
Evolution-Based Online Automated Machine Learning.
PAKDD (1)
Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet
2022 — conf
Evolutionary Counterfactual Visual Explanation.
KI (Workshops)
Jacqueline Höllig, Steffen Thoma, Cedric Kulbach
2022 C conf
TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification.
ICMLA
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
2022 J jnl
TSInterpret: A unified framework for time series interpretability.
CoRR
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
2021 — conf
Personalized Neural Architecture Search.
ICDM (Workshops)
Cedric Kulbach, Steffen Thoma
2021 — conf
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.
NeurIPS (Competition and Demos)
Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah
2020 A conf
Personalized Automated Machine Learning.
ECAI
Cedric Kulbach, Patrick Philipp, Steffen Thoma
2019 Misc conf
Improving NLU Training over Linked Data with Placeholder Concepts.
SEMANTiCS
Tobias Schmitt, Cedric Kulbach, York Sure-Vetter