Jan Drugowitsch

19 papers A* 2A 3Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise. NeurIPS Francesco Damiani, Akiyuki Anzai, Jan Drugowitsch, Gregory C. DeAngelis, Rubén Moreno-Bote
2022	—	`conf`	Is the information geometry of probabilistic population codes learnable? NeurReps John J. Vastola, Zach Cohen, Jan Drugowitsch
2022	J	`jnl`	Projection Filtering With Observed State Increments With Applications in Continuous-Time Circular Filtering. IEEE Trans. Signal Process. Anna Kutschireiter, Luke I. Rast, Jan Drugowitsch
2021	J	`jnl`	Angular Path Integration by Projection Filtering with Increment Observations. CoRR Anna Kutschireiter, Luke I. Rast, Jan Drugowitsch
2020	A*	`conf`	Adaptation Properties Allow Identification of Optimized Neural Codes. NeurIPS Luke I. Rast, Jan Drugowitsch
2019	J	`jnl`	VBLinLogit: Variational Bayesian linear and logistic regression. J. Open Source Softw. Jan Drugowitsch
2015	J	`jnl`	Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering. Frontiers Comput. Neurosci. Jan Kneissler, Jan Drugowitsch, Karl J. Friston, Martin V. Butz
2014	J	`jnl`	Filtering Sensory Information with XCSF: Improving Learning Robustness and Robot Arm Control Performance. Evol. Comput. Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz
2014	—	`conf`	Optimal decision-making with time-varying evidence reliability. NIPS Jan Drugowitsch, Rubén Moreno-Bote, Alexandre Pouget
2012	A	`conf`	Filtering sensory information with XCSF: improving learning robustness and control performance. GECCO Jan Kneissler, Patrick O. Stalph, Jan Drugowitsch, Martin V. Butz
2010	—	`ed.`	Learning Classifier Systems - 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009, Revised Selected Papers IWLCS Jaume Bacardit, Will N. Browne, Jan Drugowitsch, Ester Bernadó-Mansilla, Martin V. Butz
2008	J	`jnl`	A formal framework and extensions for function approximation in learning classifier systems. Mach. Learn. Jan Drugowitsch, Alwyn Barry
2008	—	`book`	Design and Analysis of Learning Classifier Systems - A Probabilistic Approach Jan Drugowitsch
2007	—	`conf`	A Principled Foundation for LCS. IWLCS Jan Drugowitsch, Alwyn Barry
2007	—	`conf`	A principled foundation for LCS. GECCO (Companion) Jan Drugowitsch, Alwyn Barry
2007	—	`conf`	Analysis and Improvements of the Classifier Error Estimate in XCSF. IWLCS Daniele Loiacono, Jan Drugowitsch, Alwyn Barry, Pier Luca Lanzi
2007	—	`—`	Learning classifier systems from first principles : a probabilistic reformulation of learning classifier systems from the perspective of machine learning. Jan Drugowitsch
2007	A	`conf`	Mixing independent classifiers. GECCO Jan Drugowitsch, Alwyn Barry
2005	A	`conf`	XCS with eligibility traces. GECCO Jan Drugowitsch, Alwyn Barry

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz