Jan Drugowitsch

19 papers A* 2A 3Journal 6Unranked 5
YearRankTypeTitle / 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