Franziska Meier
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2010 – today
- 2019
- [j6]Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson:
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. J. Mach. Learn. Res. 20: 49:1-49:24 (2019) - [i15]Sarah Bechtle, Akshara Rai, Yixin Lin, Ludovic Righetti, Franziska Meier:
Curious iLQR: Resolving Uncertainty in Model-based RL. CoRR abs/1904.06786 (2019) - [i14]Yevgen Chebotar, Artem Molchanov, Sarah Bechtle, Ludovic Righetti, Franziska Meier, Gaurav S. Sukhatme:
Meta-Learning via Learned Loss. CoRR abs/1906.05374 (2019) - [i13]Tianyu Li, Nathan O. Lambert, Roberto Calandra, Franziska Meier, Akshara Rai:
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning. CoRR abs/1909.12324 (2019) - [i12]Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala:
Generalized Inner Loop Meta-Learning. CoRR abs/1910.01727 (2019) - 2018
- [j5]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wuthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-Time Perception Meets Reactive Motion Generation. IEEE Robotics and Automation Letters 3(3): 1864-1871 (2018) - [c14]Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox:
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control. ICRA 2018: 1-8 - [c13]Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier:
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. ICRA 2018: 1142-1149 - [c12]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. ICRA 2018: 2425-2432 - [i11]Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson:
Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots. CoRR abs/1805.02732 (2018) - [i10]Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier, Ashis Gopal Banerjee:
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation. CoRR abs/1807.03931 (2018) - 2017
- [c11]Akshara Rai, Giovanni Sutanto, Stefan Schaal, Franziska Meier:
Learning feedback terms for reactive planning and control. ICRA 2017: 2184-2191 - [c10]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A new data source for inverse dynamics learning. IROS 2017: 4723-4730 - [r1]Jo-Anne Ting, Franziska Meier, Sethu Vijayakumar, Stefan Schaal:
Locally Weighted Regression for Control. Encyclopedia of Machine Learning and Data Mining 2017: 759-772 - [i9]Daniel Kappler, Franziska Meier, Jan Issac, Jim Mainprice, Cristina Garcia Cifuentes, Manuel Wüthrich, Vincent Berenz, Stefan Schaal, Nathan D. Ratliff, Jeannette Bohg:
Real-time Perception meets Reactive Motion Generation. CoRR abs/1703.03512 (2017) - [i8]Franziska Meier, Daniel Kappler, Stefan Schaal:
Online Learning of a Memory for Learning Rates. CoRR abs/1709.06709 (2017) - [i7]Arunkumar Byravan, Felix Leeb, Franziska Meier, Dieter Fox:
SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control. CoRR abs/1710.00489 (2017) - [i6]Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal:
A New Data Source for Inverse Dynamics Learning. CoRR abs/1710.02513 (2017) - [i5]Giovanni Sutanto, Zhe Su, Stefan Schaal, Franziska Meier:
Learning Sensor Feedback Models from Demonstrations via Phase-Modulated Neural Networks. CoRR abs/1710.08555 (2017) - 2016
- [j4]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. Big Data 4(4): 253-268 (2016) - [c9]Manuel Wuthrich, Cristina Garcia Cifuentes, Sebastian Trimpe
, Franziska Meier, Jeannette Bohg
, Jan Issac, Stefan Schaal:
Robust Gaussian filtering using a pseudo measurement. ACC 2016: 3606-3613 - [c8]Franziska Meier, Stefan Schaal:
Drifting Gaussian processes with varying neighborhood sizes for online model learning. ICRA 2016: 264-269 - [c7]Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal:
Towards robust online inverse dynamics learning. IROS 2016: 4034-4039 - [i4]Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. CoRR abs/1608.00309 (2016) - [i3]Akshara Rai, Giovanni Sutanto, Franziska Meier, Stefan Schaal:
Learning Feedback Terms for Reactive Planning and Control. CoRR abs/1610.03557 (2016) - [i2]Franziska Meier, Stefan Schaal:
A Probabilistic Representation for Dynamic Movement Primitives. CoRR abs/1612.05932 (2016) - 2014
- [c6]Akshara Rai, Franziska Meier, Auke Jan Ijspeert
, Stefan Schaal:
Learning coupling terms for obstacle avoidance. Humanoids 2014: 512-518 - [c5]Franziska Meier, Philipp Hennig, Stefan Schaal:
Efficient Bayesian local model learning for control. IROS 2014: 2244-2249 - [c4]Franziska Meier, Philipp Hennig, Stefan Schaal:
Incremental Local Gaussian Regression. NIPS 2014: 972-980 - [i1]Franziska Meier, Philipp Hennig, Stefan Schaal:
Local Gaussian Regression. CoRR abs/1402.0645 (2014) - 2013
- [j3]Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal:
From dynamic movement primitives to associative skill memories. Robotics and Autonomous Systems 61(4): 351-361 (2013) - 2012
- [c3]Franziska Meier, Evangelos A. Theodorou, Stefan Schaal:
Movement Segmentation and Recognition for Imitation Learning. AISTATS 2012: 761-769 - 2011
- [c2]Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal:
Movement segmentation using a primitive library. IROS 2011: 3407-3412
2000 – 2009
- 2009
- [j2]Radu Bogdan Rusu, Jan Bandouch, Franziska Meier, Irfan A. Essa, Michael Beetz
:
Human Action Recognition Using Global Point Feature Histograms and Action Shapes. Advanced Robotics 23(14): 1873-1908 (2009) - 2008
- [j1]Fabian Birzele, Robert Küffner, Franziska Meier, Florian Oefinger, Christian Potthast, Ralf Zimmer:
ProSAS: a database for analyzing alternative splicing in the context of protein structures. Nucleic Acids Research 36(Database-Issue): 63-68 (2008) - [c1]Matthias Grundmann, Franziska Meier, Irfan A. Essa:
3D Shape Context and Distance Transform for action recognition. ICPR 2008: 1-4
Coauthor Index

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