Nico Gürtler

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All published works

Action	Title	Year	Authors
+ PDF Chat	Zero-Shot Offline Imitation Learning via Optimal Transport	2024	Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius
+ PDF Chat	AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory Generation	2023	Alexander Dittrich Jochen Schneider Simon Guist Nico Gürtler Heiko Ott Thomas Steinbrenner Bernhard Schölkopf Dieter Büchler
+	Benchmarking Offline Reinforcement Learning on Real-Robot Hardware	2023	Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Sebastian Bauer Bernhard Schölkopf Georg Martius
+	Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World	2023	Nico Gürtler Felix Widmaier Cansu Sancaktar Sebastian Blaes Pavel Kolev Sebastian Bauer Manuel Wüthrich Markus Wulfmeier Martin Riedmiller Arthur Allshire
+ PDF Chat	Hierarchical Reinforcement Learning with Timed Subgoals	2021	Nico Gürtler Dieter Büchler Georg Martius
+	Direct Advantage Estimation	2021	Hsiao-Ru Pan Nico Gürtler Alexander Neitz Bernhard Schölkopf
+	Hierarchical Reinforcement Learning with Timed Subgoals	2021	Nico Gürtler Dieter Büchler Georg Martius
+ PDF Chat	Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks	2019	Ákos F. Kungl S. Schmitt Johann Klähn Paul Müller Andreas Baumbach Dominik Dold Alexander Kugele Eric Müller Christoph Koke Mitja Kleider
+	Generative models on accelerated neuromorphic hardware.	2018	Ákos F. Kungl S. Schmitt Johann Klähn Paul Müller Andreas Baumbach Dominik Dold Alexander Kugele Nico Gürtler Luziwei Leng Eric Müller

Common Coauthors

Coauthor	Papers Together
Georg Martius	5
Bernhard Schölkopf	4
Dieter Büchler	3
Ákos F. Kungl	2
Maurice Güttler	2
Johann Klähn	2
Christoph Koke	2
Sebastian Blaes	2
Johannes Schemmel	2
Eric Müller	2
Oliver Breitwieser	2
Manuel Wüthrich	2
Alexander Kugele	2
Sebastian Bauer	2
Felix Widmaier	2
Andreas Grübl	2
Vitali Karasenko	2
Karlheinz Meier	2
Andreas Hartel	2
Luziwei Leng	2
Mihai A. Petrovici	2
Mitja Kleider	2
Paul Müller	2
Dominik Dold	2
Pavel Kolev	2
Christian Mauch	2
Kai Husmann	2
Andreas Baumbach	2
S. Schmitt	2
Hsiao-Ru Pan	1
Yasunori Toshimitsu	1
Jonas Frey	1
Markus Wulfmeier	1
Jongchan Baek Pohang	1
Barnabasa Gavin Cangan	1
Qiang Wang	1
Arthur Allshire	1
Wookyong Kwon	1
Hehui Zheng	1
Arman Raayatsanati	1
Mike Y. Michelis	1
Robert McCarthy	1
Joscha Ilmberger	1
Marco Bagatella	1
Hangyeol Kim	1
Alexander Neitz	1
Jochen Schneider	1
Thomas Rupf	1
Cansu Sancaktar	1
Amirhossein Kazemipour	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel	1
+	Fast sampling for Bayesian inference in neural circuits	2014	Guillaume Hennequin Laurence Aitchison Máté Lengyel	1
+	Better Mixing via Deep Representations	2012	Yoshua Bengio Grégoire Mesnil Yann Dauphin Salah Rifai	1
+	Stochastic inference with deterministic spiking neurons	2013	Mihai A. Petrovici Johannes Bill Ilja Bytschok Johannes Schemmel Karlheinz Meier	1
+	Statistics and Causal Inference	1986	Paul W. Holland	1
+ PDF Chat	Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms	2014	Mihai A. Petrovici Bernhard Vogginger Paul Müller Oliver Breitwieser Mikael Lundqvist Lyle Muller Matthias Ehrlich Alain Destexhe Anders Lansner René Schüffny	1
+ PDF Chat	Graded Causation and Defaults	2014	Joseph Y. Halpern Christopher Hitchcock	1
+ PDF Chat	Decorrelation of Neural-Network Activity by Inhibitory Feedback	2012	Tom Tetzlaff Moritz Helias Gaute T. Einevoll Markus Diesmann	1
+ PDF Chat	Six Networks on a Universal Neuromorphic Computing Substrate	2013	Thomas Pfeil Andreas Grübl Sebastian Jeltsch Eric Müller Paul Müller Mihai A. Petrovici Michael Schmuker Daniel Brüderle Johannes Schemmel Karlheinz Meier	1
+	Estimating causal effects of treatments in randomized and nonrandomized studies.	1974	Donald B. Rubin	1
+ PDF Chat	Convolutional networks for fast, energy-efficient neuromorphic computing	2016	Steven K. Esser Paul Merolla John V. Arthur Andrew Cassidy Rathinakumar Appuswamy Alexander Andreopoulos David Van Den Berg Jeffrey L. McKinstry Timothy Melano Davis Barch	1
+	Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System	2016	Simon Friedmann Johannes Schemmel Andreas Gruebl Andreas Hartel Matthias Hock Karlheinz Meier	1
+ PDF Chat	Solving the quantum many-body problem with artificial neural networks	2017	Giuseppe Carleo Matthias Troyer	1
+ PDF Chat	Stochastic inference with spiking neurons in the high-conductance state	2016	Mihai A. Petrovici Johannes Bill Ilja Bytschok Johannes Schemmel Karlheinz Meier	1
+	Sample Efficient Actor-Critic with Experience Replay	2016	Ziyu Wang Victor Bapst Nicolas Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas	1
+ PDF Chat	Proceedings of the 25th international conference on Machine learning - ICML '08	2008		1
+ PDF Chat	The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics	2016	Laurence Aitchison Máté Lengyel	1
+ PDF Chat	Pattern representation and recognition with accelerated analog neuromorphic systems	2017	Mihai A. Petrovici S. Schmitt Johann Klähn David Stöckel Anna Schroeder Guillaume Bellec Johannes Bill Oliver Breitwieser Ilja Bytschok Andreas Grübl	1
+	Spike-based probabilistic inference with correlated noise	2017	Ilja Bytschok Dominik Dold Johannes Schemmel Karlheinz Meier Mihai A. Petrovici	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	Stochastic neural computation without noise	2017	Jakob Jordan Mihai A. Petrovici Oliver Breitwieser Johannes Schemmel Karlheinz Meier Markus Diesmann Tom Tetzlaff	1
+ PDF Chat	The Neural Particle Filter	2015	Anna Kutschireiter Simone Carlo Surace Henning Sprekeler Jean-Pascal Pfister	1
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	1
+ PDF Chat	Quenches near Ising quantum criticality as a challenge for artificial neural networks	2018	Stefanie Czischek Martin Gärttner Thomas Gasenzer	1
+ PDF Chat	Demonstrating Advantages of Neuromorphic Computation: A Pilot Study	2019	Timo C. Wunderlich Ákos F. Kungl Eric Müller Andreas Hartel Yannik Stradmann Syed Ahmed Aamir Andreas Grübl Arthur Heimbrecht Korbinian Schreiber David Stöckel	1
+	Trust Region Policy Optimization	2015	John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel	1
+ PDF Chat	Full wafer redistribution and wafer embedding as key technologies for a multi-scale neuromorphic hardware cluster	2017	Kai Zoschke Maurice Güttler L. Böttcher Andreas Grübl Dan Husmann Johannes Schemmel Karlheinz Meier O. Ehrmann	1
+ PDF Chat	Spiking neurons with short-term synaptic plasticity form superior generative networks	2018	Luziwei Leng Roman Martel Oliver Breitwieser Ilja Bytschok Walter Senn Johannes Schemmel Karlheinz Meier Mihai A. Petrovici	1
+ PDF Chat	Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System	2016	Simon Friedmann Johannes Schemmel Andreas Grübl Andreas Hartel Matthias Hock Karlheinz Meier	1
+	Stochasticity from function — Why the Bayesian brain may need no noise	2019	Dominik Dold Ilja Bytschok Ákos F. Kungl Andreas Baumbach Oliver Breitwieser Walter Senn Johannes Schemmel Karlheinz Meier Mihai A. Petrovici	1
+ PDF Chat	Deterministic networks for probabilistic computing	2019	Jakob Jordan Mihai A. Petrovici Oliver Breitwieser Johannes Schemmel Karlheinz Meier Markus Diesmann Tom Tetzlaff	1
+ PDF Chat	An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research	2020	Felix Grimminger Avadesh Meduri Majid Khadiv Julian Viereck Manuel Wüthrich Maximilien Naveau Vincent Berenz Steve Heim Felix Widmaier Thomas Flayols	1
+ PDF Chat	Adaptation and Robust Learning of Probabilistic Movement Primitives	2020	Sebastián Gómez-González Gerhard Neumann Bernhard Schölkopf Jan Peters	1
+	Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems	2020	Sergey Levine Aviral Kumar George Tucker Justin Fu	1
+	Conservative Q-Learning for Offline Reinforcement Learning	2020	Aviral Kumar Aurick Zhou George Tucker Sergey Levine	1
+ PDF Chat	Learning to Play Table Tennis From Scratch Using Muscular Robots	2022	Dieter Büchler Simon Guist Roberto Calandra Vincent Berenz Bernhard Schölkopf Jan Peters	1
+	Disentangling causal effects for hierarchical reinforcement learning.	2020	Oriol Corcoll Raúl Vicente	1
+ PDF Chat	Mapping Generative Models onto a Network of Digital Spiking Neurons	2016	Bruno U. Pedroni Srinjoy Das John V. Arthur Paul Merolla Bryan L. Jackson Dharmendra S. Modha Kenneth Kreutz-Delgado Gert Cauwenberghs	1
+ PDF Chat	Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system	2017	S. Schmitt Johann Klähn Guillaume Bellec Andreas Grübl Maurice Güttler Andreas Hartel Stephan Hartmann Dan Husmann Kai Husmann Sebastian Jeltsch	1
+ PDF Chat	Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons	2015	Dimitri Probst Mihai A. Petrovici Ilja Bytschok Johannes Bill Dejan Pecevski Johannes Schemmel Karlheinz Meier	1
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	1
+ PDF Chat	Robustness from structure: Inference with hierarchical spiking networks on analog neuromorphic hardware	2017	Mihai A. Petrovici Anna Schroeder Oliver Breitwieser Andreas Grübl Johannes Schemmel Karlheinz Meier	1
+ PDF Chat	Publisher Correction: Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception	2017	Anna Kutschireiter Simone Carlo Surace Henning Sprekeler Jean-Pascal Pfister	1
+ PDF Chat	Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study	2016	Thomas Pfeil Jakob Jordan Tom Tetzlaff Andreas Grübl Johannes Schemmel Markus Diesmann Karlheinz Meier	1
+	Towards Causal Representation Learning	2021	Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio	1
+ PDF Chat	Sample-efficient Reinforcement Learning in Robotic Table Tennis	2021	Jonas Tebbe Lukas Krauch Yapeng Gao Andreas Zell	1
+	i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops	2022	Saminda Abeyruwan Laura Graesser David B. D’Ambrosio Avi Singh Anish Shankar Alex Bewley Pannag Sanketi	1
+	TriFinger: An Open-Source Robot for Learning Dexterity	2020	Manuel Wüthrich Felix Widmaier Felix Grimminger Joel Akpo Shruti Joshi Vaibhav Agrawal Bilal Hammoud Majid Khadiv Miroslav Bogdanović Vincent Berenz	1
+	Stochastic inference with deterministic spiking neurons	2013	Mihai A. Petrovici Johannes Bill Ilja Bytschok Johannes Schemmel Karlheinz Meier	1