Patrick van der Smagt

159 papers A* 21A 13B 2C 2Misc 2Journal 83Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Latent Matters: Learning Deep State-Space Models. CoRR Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt
2025	J	`jnl`	FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning. CoRR Marvin Alles, Nutan Chen, Patrick van der Smagt, Botond Cseke
2025	J	`jnl`	Inherently Robust Control through Maximum-Entropy Learning-Based Rollout. Trans. Mach. Learn. Res. Felix Bok, Atanas Mirchev, Baris Kayalibay, Ole Jonas Wenzel, Patrick van der Smagt, Justin Bayer
2025	A*	`conf`	LIMT: Language-Informed Multi-Task Visual World Models. ICRA Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
2025	J	`jnl`	Latent Action World Models for Control with Unlabeled Trajectories. CoRR Marvin Alles, Xingyuan Zhang, Patrick van der Smagt, Philip Becker-Ehmck
2025	J	`jnl`	Overcoming Knowledge Barriers: Online Imitation Learning from Visual Observation with Pretrained World Models. Trans. Mach. Learn. Res. Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2025	J	`jnl`	TechOps: Technical Documentation Templates for the AI Act. CoRR Laura Lucaj, Alex Loosley, Håkan Jonsson, Urs Gasser, Patrick van der Smagt
2024	J	`jnl`	A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation. CoRR Yin Li, Qi Chen, Kai Wang, Meige Li, Liping Si, Yingwei Guo, Yu Xiong, Qixing Wang, Yang Qin, Ling Xu, Patrick van der Smagt, Jun Tang, Nutan Chen
2024	A*	`conf`	Accurate Kinematic Modeling using Autoencoders on Differentiable Joints. ICRA Nikolas J. Wilhelm, Sami Haddadin, Rainer Burgkart, Patrick van der Smagt, Maximilian Karl
2024	J	`jnl`	Adapting Deep Variational Bayes Filter for Enhanced Confidence Estimation in Finite Element Method Integrated Networks (FEMIN). CoRR Simon Thel, Lars Greve, Maximilian Karl, Patrick van der Smagt
2024	J	`jnl`	Assistive AI for Augmenting Human Decision-making. CoRR Natabara Máté Gyöngyössy, Bernát Török, Csilla Farkas, Laura Lucaj, Attila Menyhárd, Krisztina Menyhard-Balázs, András Simonyi, Patrick van der Smagt, Zsolt Zodi, András Lorincz
2024	A*	`conf`	Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning. NeurIPS Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2024	J	`jnl`	Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning. CoRR Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2024	A*	`conf`	Design and Implementation of a Robotic Testbench for Analyzing Pincer Grip Execution in Human Specimen Hands. ICRA Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Julian Schote, Hannes Höppner, Patrick van der Smagt, Maximilian Karl, Rainer Burgkart
2024	Misc	`conf`	Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters. CoRL Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
2024	—	`conf`	Fast Preserving Local Distances and Topology in Auto-encoders. ICONIP (2) Nutan Chen, Patrick van der Smagt, Botond Cseke
2024	J	`jnl`	Guided Decoding for Robot Motion Generation and Adaption. CoRR Nutan Chen, Elie Aljalbout, Botond Cseke, Patrick van der Smagt
2024	—	`conf`	Guided Decoding for Robot On-line Motion Generation and Adaption. Humanoids Nutan Chen, Botond Cseke, Elie Aljalbout, Alexandros Paraschos, Marvin Alles, Patrick van der Smagt
2024	J	`jnl`	LIMT: Language-Informed Multi-Task Visual World Models. CoRR Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
2024	J	`jnl`	On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. IEEE Robotics Autom. Lett. Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
2024	J	`jnl`	Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models. CoRR Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2024	J	`jnl`	Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems. CoRR Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt
2024	J	`jnl`	Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis. CoRR Yin Li, Yu Xiong, Wenxin Fan, Kai Wang, Qingqing Yu, Liping Si, Patrick van der Smagt, Jun Tang, Nutan Chen
2024	J	`jnl`	The Shortcomings of Force-from-Motion in Robot Learning. CoRR Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros Paraschos
2023	C	`conf`	A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. AIES Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid
2023	—	`conf`	AI Regulation Is (not) All You Need. FAccT Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid
2023	A*	`conf`	Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. NeurIPS Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2023	J	`jnl`	Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. CoRR Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
2023	—	`conf`	CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. L4DC Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
2023	—	`conf`	Filter-Aware Model-Predictive Control. L4DC Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
2023	J	`jnl`	Filter-Aware Model-Predictive Control. CoRR Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
2023	J	`jnl`	On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. CoRR Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
2022	J	`jnl`	CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. CoRR Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
2022	J	`jnl`	Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation. IEEE Trans. Robotics Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke
2022	—	`conf`	Flat Latent Manifolds for Human-machine Co-creation of Music. AIMC Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt
2022	J	`jnl`	Flat latent manifolds for music improvisation between human and machine. CoRR Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt
2022	—	`conf`	Local Distance Preserving Auto-encoders using Continuous kNN Graphs. TAG-ML Nutan Chen, Patrick van der Smagt, Botond Cseke
2022	J	`jnl`	Local distance preserving auto-encoders using Continuous k-Nearest Neighbours graphs. CoRR Nutan Chen, Patrick van der Smagt, Botond Cseke
2022	Misc	`conf`	PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRL Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
2022	J	`jnl`	PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRR Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
2022	J	`jnl`	Probabilistic Dalek - Emulator framework with probabilistic prediction for supernova tomography. CoRR Wolfgang E. Kerzendorf, Nutan Chen, Jack O'Brien, Johannes Buchner, Patrick van der Smagt
2022	—	`conf`	Tracking and Planning with Spatial World Models. L4DC Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
2022	J	`jnl`	Tracking and Planning with Spatial World Models. CoRR Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
2021	J	`jnl`	An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation. Frontiers Robotics AI Thomas Dickmann, Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Patrick van der Smagt, Rainer Burgkart
2021	J	`jnl`	Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation. CoRR Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke
2021	A*	`conf`	Latent Matters: Learning Deep State-Space Models. NeurIPS Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt
2021	J	`jnl`	Layerwise learning for quantum neural networks. Quantum Mach. Intell. Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
2021	A*	`conf`	Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. ICLR Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
2021	J	`jnl`	Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. CoRR Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
2021	A*	`conf`	Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. ICLR Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
2020	A*	`conf`	Continual Learning with Bayesian Neural Networks for Non-Stationary Data. ICLR Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt, Stephan Günnemann
2020	J	`jnl`	Dalek - a deep-learning emulator for TARDIS. CoRR Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt
2020	J	`jnl`	Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images. Robotica Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt
2020	J	`jnl`	Layerwise learning for quantum neural networks. CoRR Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
2020	A*	`conf`	Learning Flat Latent Manifolds with VAEs. ICML Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt
2020	J	`jnl`	Learning Flat Latent Manifolds with VAEs. CoRR Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt
2020	J	`jnl`	Learning to Fly via Deep Model-Based Reinforcement Learning. CoRR Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
2020	J	`jnl`	Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. CoRR Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
2020	J	`jnl`	When Machine Learning Implies Intelligence [Young Professionals]. IEEE Robotics Autom. Mag. Patrick van der Smagt
2019	—	`conf`	Approximate Bayesian Inference in Spatial Environments. Robotics: Science and Systems Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer
2019	J	`jnl`	Bayesian Learning of Neural Network Architectures. CoRR Georgi Dikov, Patrick van der Smagt, Justin Bayer
2019	J	`jnl`	Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. CoRR Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
2019	—	`ch.`	Early integration for movement modeling in latent spaces. The Handbook of Multimodal-Multisensor Interfaces, Volume 3 (3) Rachel Hornung, Nutan Chen, Patrick van der Smagt
2019	J	`jnl`	Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images. CoRR Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt
2019	—	`conf`	Fast Approximate Geodesics for Deep Generative Models. ICANN (2) Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt
2019	—	`conf`	Increasing the Generalisaton Capacity of Conditional VAEs. ICANN (2) Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt
2019	J	`jnl`	Increasing the Generalisaton Capacity of Conditional VAEs. CoRR Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt
2019	A*	`conf`	Learning Hierarchical Priors in VAEs. NeurIPS Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt
2019	J	`jnl`	Learning Hierarchical Priors in VAEs. CoRR Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt
2019	A*	`conf`	Multi-Source Neural Variational Inference. AAAI Richard Kurle, Stephan Günnemann, Patrick van der Smagt
2019	—	`conf`	ORC - A Lightweight, Lightning-Fast Middleware. IRC Felix Frank, Alexandros Paraschos, Patrick van der Smagt
2019	—	`conf`	On Deep Set Learning and the Choice of Aggregations. ICANN (1) Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer
2019	J	`jnl`	On Deep Set Learning and the Choice of Aggregations. CoRR Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer
2019	A*	`conf`	Switching Linear Dynamics for Variational Bayes Filtering. ICML Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
2019	J	`jnl`	Switching Linear Dynamics for Variational Bayes Filtering. CoRR Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
2019	C	`conf`	Unsupervised Real-Time Control Through Variational Empowerment. ISRR Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer
2019	J	`jnl`	Variational Tracking and Prediction with Generative Disentangled State-Space Models. CoRR Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
2018	A	`conf`	Active Learning based on Data Uncertainty and Model Sensitivity. IROS Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt
2018	J	`jnl`	Active Learning based on Data Uncertainty and Model Sensitivity. CoRR Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt
2018	J	`jnl`	Approximate Bayesian inference in spatial environments. CoRR Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
2018	J	`jnl`	Fast Approximate Geodesics for Deep Generative Models. CoRR Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt
2018	A	`conf`	Metrics for Deep Generative Models. AISTATS Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt
2018	J	`jnl`	Multi-Source Neural Variational Inference. CoRR Richard Kurle, Stephan Günnemann, Patrick van der Smagt
2017	J	`jnl`	Automatic Differentiation for Tensor Algebras. CoRR Sebastian Urban, Patrick van der Smagt
2017	J	`jnl`	CNN-based Segmentation of Medical Imaging Data. CoRR Baris Kayalibay, Grady Jensen, Patrick van der Smagt
2017	J	`jnl`	Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform. Frontiers Neurorobotics Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Hubert, David A. Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillmann, Paul Levi, Cecilia Laschi, Alois C. Knoll, Marc-Oliver Gewaltig
2017	—	`conf`	Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. ICLR (Poster) Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
2017	J	`jnl`	Gaussian Process Neurons Learn Stochastic Activation Functions. CoRR Sebastian Urban, Marcus Basalla, Patrick van der Smagt
2017	A*	`conf`	Hitting the sweet spot: Automatic optimization of energy transfer during tool-held hits. ICRA Jörn Vogel, Naohiro Takemura, Hannes Höppner, Patrick van der Smagt, Gowrishankar Ganesh
2017	J	`jnl`	Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography. Frontiers Neurorobotics Hannes Höppner, Maximilian Große-Dunker, Georg Stillfried, Justin Bayer, Patrick van der Smagt
2017	J	`jnl`	Metrics for Deep Generative Models. CoRR Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt
2017	J	`jnl`	Two-Stream RNN/CNN for Action Recognition in 3D Videos. CoRR Rui Zhao, Haider Ali, Patrick van der Smagt
2017	A	`conf`	Two-stream RNN/CNN for action recognition in 3D videos. IROS Rui Zhao, Haider Ali, Patrick van der Smagt
2016	J	`jnl`	A Differentiable Transition Between Additive and Multiplicative Neurons. CoRR Wiebke Köpp, Patrick van der Smagt, Sebastian Urban
2016	B	`conf`	Boost online virtual network embedding: Using neural networks for admission control. CNSM Andreas Blenk, Patrick Kalmbach, Patrick van der Smagt, Wolfgang Kellerer
2016	J	`jnl`	Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. CoRR Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
2016	—	`conf`	Dynamic movement primitives in latent space of time-dependent variational autoencoders. Humanoids Nutan Chen, Maximilian Karl, Patrick van der Smagt
2016	J	`jnl`	ML-based tactile sensor calibration: A universal approach. CoRR Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt
2016	J	`jnl`	Musculoskeletal Robots: Scalability in Neural Control. IEEE Robotics Autom. Mag. Christoph Richter, Soren Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt
2016	—	`ch.`	Neurorobotics: From Vision to Action. Springer Handbook of Robotics, 2nd Ed. Patrick van der Smagt, Michael A. Arbib, Giorgio Metta
2016	J	`jnl`	Scalability in Neural Control of Musculoskeletal Robots. CoRR Christoph Richter, Sören Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt
2016	A	`conf`	Stable reinforcement learning with autoencoders for tactile and visual data. IROS Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters
2016	J	`jnl`	Unsupervised preprocessing for Tactile Data. CoRR Maximilian Karl, Justin Bayer, Patrick van der Smagt
2016	J	`jnl`	Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series. CoRR Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt
2015	J	`jnl`	A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions. CoRR Sebastian Urban, Patrick van der Smagt
2015	J	`jnl`	An assistive decision-and-control architecture for force-sensitive hand-arm systems driven by human-machine interfaces. Int. J. Robotics Res. Jörn Vogel, Sami Haddadin, Beata Jarosiewicz, John D. Simeral, Daniel Bacher, Leigh R. Hochberg, John P. Donoghue, Patrick van der Smagt
2015	J	`jnl`	Efficient Empowerment. CoRR Maximilian Karl, Justin Bayer, Patrick van der Smagt
2015	—	`conf`	Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders. Humanoids Nutan Chen, Justin Bayer, Sebastian Urban, Patrick van der Smagt
2015	J	`jnl`	Fast Adaptive Weight Noise. CoRR Justin Bayer, Maximilian Karl, Daniela Korhammer, Patrick van der Smagt
2015	A*	`conf`	FlowNet: Learning Optical Flow with Convolutional Networks. ICCV Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	J	`jnl`	FlowNet: Learning Optical Flow with Convolutional Networks. CoRR Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	A	`conf`	Measuring fingertip forces from camera images for random finger poses. IROS Nutan Chen, Sebastian Urban, Justin Bayer, Patrick van der Smagt
2015	—	`conf`	Robust Detection of Anomalies via Sparse Methods. ICONIP (3) Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt
2015	A	`conf`	Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties. IROS Hannes Höppner, Markus Grebenstein, Patrick van der Smagt
2014	A*	`conf`	A new biarticular joint mechanism to extend stiffness ranges. ICRA Hannes Höppner, Wolfgang Wiedmeyer, Patrick van der Smagt
2014	A*	`conf`	Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. ICRA Nutan Chen, Sebastian Urban, Christian Osendorfer, Justin Bayer, Patrick van der Smagt
2014	—	`conf`	Image Super-Resolution with Fast Approximate Convolutional Sparse Coding. ICONIP (3) Christian Osendorfer, Hubert Soyer, Patrick van der Smagt
2014	—	`ch.`	MRI-Based Skeletal Hand Movement Model. The Human Hand as an Inspiration for Robot Hand Development Georg Stillfried, Ulrich Hillenbrand, Marcus Settles, Patrick van der Smagt
2014	A	`conf`	Model-free robot anomaly detection. IROS Rachel Hornung, Holger Urbanek, Julian Klodmann, Christian Osendorfer, Patrick van der Smagt
2014	—	`conf`	On Fast Dropout and its Applicability to Recurrent Networks. ICLR (Poster) Justin Bayer, Christian Osendorfer, Nutan Chen, Sebastian Urban, Patrick van der Smagt
2013	A	`conf`	Computing grip force and torque from finger nail images using Gaussian processes. IROS Sebastian Urban, Justin Bayer, Christian Osendorfer, Göran Westling, Benoni B. Edin, Patrick van der Smagt
2013	A	`conf`	Continuous robot control using surface electromyography of atrophic muscles. IROS Jörn Vogel, Justin Bayer, Patrick van der Smagt
2013	—	`conf`	Convolutional Neural Networks Learn Compact Local Image Descriptors. ICONIP (3) Christian Osendorfer, Justin Bayer, Sebastian Urban, Patrick van der Smagt
2013	J	`jnl`	Convolutional Neural Networks learn compact local image descriptors CoRR Christian Osendorfer, Justin Bayer, Patrick van der Smagt
2013	J	`jnl`	Evidence of muscle synergies during human grasping. Biol. Cybern. Claudio Castellini, Patrick van der Smagt
2013	J	`jnl`	Minimizing data consumption with sequential online feature selection. Int. J. Mach. Learn. Cybern. Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt
2013	J	`jnl`	Robots Driven by Compliant Actuators: Optimal Control Under Actuation Constraints. IEEE Trans. Robotics David J. Braun, Florian Petit, Felix Huber, Sami Haddadin, Patrick van der Smagt, Alin Albu-Schäffer, Sethu Vijayakumar
2013	—	`conf`	Training Neural Networks with Implicit Variance. ICONIP (2) Justin Bayer, Christian Osendorfer, Sebastian Urban, Patrick van der Smagt
2013	—	`conf`	Unsupervised Feature Learning for low-level Local Image Descriptors ICLR (Workshop Poster) Christian Osendorfer, Justin Bayer, Patrick van der Smagt
2012	J	`jnl`	Foreword for the special issue on Multimodal and Sensorimotor Bionics. Biol. Cybern. J. Leo van Hemmen, Patrick van der Smagt, Barry E. Stein
2012	J	`jnl`	Human hand modelling: kinematics, dynamics, applications. Biol. Cybern. Agneta Gustus, Georg Stillfried, Judith Visser, Henrik Jörntell, Patrick van der Smagt
2012	—	`conf`	Identification of Human Limb Stiffness in 5 DoF and Estimation via EMG. ISER Dominic Lakatos, Daniel Rüschen, Justin Bayer, Jörn Vogel, Patrick van der Smagt
2012	—	`conf`	Learning Sequence Neighbourhood Metrics. ICANN (1) Justin Bayer, Christian Osendorfer, Patrick van der Smagt
2012	A	`conf`	Optimal torque and stiffness control in compliantly actuated robots. IROS David J. Braun, Florian Petit, Felix Huber, Sami Haddadin, Patrick van der Smagt, Alin Albu-Schäffer, Sethu Vijayakumar
2012	—	`ch.`	Solving the Ill-Conditioning in Neural Network Learning. Neural Networks: Tricks of the Trade (2nd ed.) Patrick van der Smagt, Gerd Hirzinger
2011	—	`conf`	Conditioning vs. excitation time for estimating impedance parameters of the human arm. Humanoids Dominic Lakatos, Florian Petit, Patrick van der Smagt
2011	A	`conf`	EMG-based teleoperation and manipulation with the DLR LWR-III. IROS Jörn Vogel, Claudio Castellini, Patrick van der Smagt
2011	J	`jnl`	Learning Sequence Neighbourhood Metrics CoRR Justin Bayer, Christian Osendorfer, Patrick van der Smagt
2011	—	`conf`	Preliminary evidence of dynamic muscular synergies in human grasping. ICAR Claudio Castellini, Patrick van der Smagt
2011	—	`conf`	Sequential Feature Selection for Classification. Australasian Conference on Artificial Intelligence Thomas Rückstieß, Christian Osendorfer, Patrick van der Smagt
2011	A*	`conf`	The Grasp Perturbator: Calibrating human grasp stiffness during a graded force task. ICRA Hannes Höppner, Dominic Lakatos, Holger Urbanek, Claudio Castellini, Patrick van der Smagt
2010	—	`conf`	Continuous Control of the DLR Light-Weight Robot III by a Human with Tetraplegia Using the BrainGate2 Neural Interface System. ISER Joern Vogel, Sami Haddadin, John D. Simeral, Sergey D. Stavisky, Daniel Bacher, Leigh R. Hochberg, John P. Donoghue, Patrick van der Smagt
2010	A	`conf`	The DLR touch sensor I: A flexible tactile sensor for robotic hands based on a crossed-wire approach. IROS Michael Strohmayr, Hannes P. Saal, Abhijit Potdar, Patrick van der Smagt
2009	J	`jnl`	Surface EMG in advanced hand prosthetics. Biol. Cybern. Claudio Castellini, Patrick van der Smagt
2008	J	`jnl`	Antagonism for a Highly Anthropomorphic Hand-Arm System. Adv. Robotics Markus Grebenstein, Patrick van der Smagt
2008	—	`ch.`	Neurorobotics: From Vision to Action. Springer Handbook of Robotics Michael A. Arbib, Giorgio Metta, Patrick van der Smagt
2008	A*	`conf`	Surface EMG for force control of mechanical hands. ICRA Claudio Castellini, Patrick van der Smagt, Giulio Sandini, Gerd Hirzinger
2006	A*	`conf`	Learning EMG Control of a Robotic Hand: Towards Active Prostheses. ICRA Sebastian Bitzer, Patrick van der Smagt
2004	A	`conf`	Learning from demonstration: repetitive movements for autonomous service robotics. IROS Holger Urbanek, Alin Albu-Schäffer, Patrick van der Smagt
2002	J	`jnl`	Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics. Appl. Intell. Patrick van der Smagt, Daniel Bullock
2002	J	`jnl`	Searching a Scalable Approach to Cerebellar Based Control. Appl. Intell. Jan Peters, Patrick van der Smagt
2000	J	`jnl`	Benchmarking cerebellar control. Robotics Auton. Syst. Patrick van der Smagt
2000	B	`conf`	The cerebellum as computed torque model. KES Patrick van der Smagt, Gerd Hirzinger
1998	J	`jnl`	Cerebellar Control of Robot Arms. Connect. Sci. Patrick van der Smagt
1998	A*	`conf`	Learning Techniques in a Dataglove Based Telemanipulation System for the DLR Hand. ICRA Max Fischer, Patrick van der Smagt, Gerd Hirzinger
1996	J	`jnl`	Analysis and control of a rubbertuator arm. Biol. Cybern. Patrick van der Smagt, Frans C. A. Groen, Klaus Schulten
1996	—	`ch.`	Solving the Ill-Conditioning in Neural Network Learning. Neural Networks: Tricks of the Trade Patrick van der Smagt, Gerd Hirzinger
1995	—	`conf`	A visually guided robot and a neural network join to grasp slanted objects. SNN Symposium on Neural Networks Patrick van der Smagt, Anuj Dev, Frans C. A. Groen
1995	—	`conf`	Approximation with neural networks: between local and global approximation. ICNN Patrick van der Smagt, Frans C. A. Groen