Patrick van der Smagt

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 87

Top Venues

Publications

Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. IEEE Robotics Autom. Lett. 9 (6) (2024)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Overcoming Knowledge Barriers: Online Imitation Learning from Observation with Pretrained World Models. CoRR (2024)
Nikolas J. Wilhelm, Sami Haddadin, Rainer Burgkart, Patrick van der Smagt, Maximilian Karl
Accurate Kinematic Modeling using Autoencoders on Differentiable Joints. ICRA (2024)
Djalel Benbouzid, Christiane Plociennik, Laura Lucaj, Mihai Maftei, Iris Merget, Aljoscha Burchardt, Marc P. Hauer, Abdeldjallil Naceri, Patrick van der Smagt
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems. CoRR (2024)
Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Julian Schote, Hannes Höppner, Patrick van der Smagt, Maximilian Karl, Rainer Burgkart
Design and Implementation of a Robotic Testbench for Analyzing Pincer Grip Execution in Human Specimen Hands. ICRA (2024)
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
A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation. CoRR (2024)
Nutan Chen, Elie Aljalbout, Botond Cseke, Patrick van der Smagt
Guided Decoding for Robot Motion Generation and Adaption. CoRR (2024)
Elie Aljalbout, Felix Frank, Patrick van der Smagt, Alexandros Paraschos
The Shortcomings of Force-from-Motion in Robot Learning. CoRR (2024)
Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt, Maximilian Karl, Nutan Chen
LIMT: Language-Informed Multi-Task Visual World Models. CoRR (2024)
Yin Li, Yu Xiong, Wenxin Fan, Kai Wang, Qingqing Yu, Liping Si, Patrick van der Smagt, Jun Tang, Nutan Chen
Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis. CoRR (2024)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. NeurIPS (2023)
Laura Lucaj, Patrick van der Smagt, Djalel Benbouzid
AI Regulation Is (not) All You Need. FAccT (2023)
Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. L4DC (2023)
Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
Filter-Aware Model-Predictive Control. CoRR (2023)
Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models. CoRR (2023)
Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
Filter-Aware Model-Predictive Control. L4DC (2023)
Elie Aljalbout, Felix Frank, Maximilian Karl, Patrick van der Smagt
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer. CoRR (2023)
Dafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid
A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context. AIES (2023)
Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation. IEEE Trans. Robotics 38 (4) (2022)
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRL (2022)
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
Tracking and Planning with Spatial World Models. L4DC (2022)
Elie Aljalbout, Maximilian Karl, Patrick van der Smagt
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces. CoRR (2022)
Wolfgang E. Kerzendorf, Nutan Chen, Jack O'Brien, Johannes Buchner, Patrick van der Smagt
Probabilistic Dalek - Emulator framework with probabilistic prediction for supernova tomography. CoRR (2022)
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
Tracking and Planning with Spatial World Models. CoRR (2022)
Nutan Chen, Patrick van der Smagt, Botond Cseke
Local distance preserving auto-encoders using Continuous k-Nearest Neighbours graphs. CoRR (2022)
Nutan Chen, Djalel Benbouzid, Francesco Ferroni, Mathis Nitschke, Luciano Pinna, Patrick van der Smagt
Flat latent manifolds for music improvisation between human and machine. CoRR (2022)
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRR (2022)
Nutan Chen, Patrick van der Smagt, Botond Cseke
Local Distance Preserving Auto-encoders using Continuous kNN Graphs. TAG-ML (2022)
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
Layerwise learning for quantum neural networks. Quantum Mach. Intell. 3 (1) (2021)
Thomas Dickmann, Nikolas J. Wilhelm, Claudio Glowalla, Sami Haddadin, Patrick van der Smagt, Rainer Burgkart
An Adaptive Mechatronic Exoskeleton for Force-Controlled Finger Rehabilitation. Frontiers Robotics AI 8 (2021)
Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt
Latent Matters: Learning Deep State-Space Models. NeurIPS (2021)
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. ICLR (2021)
Felix Frank, Alexandros Paraschos, Patrick van der Smagt, Botond Cseke
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation. CoRR (2021)
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. CoRR (2021)
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. ICLR (2021)
Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt
Learning Flat Latent Manifolds with VAEs. CoRR (2020)
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. CoRR (2020)
Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt
Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images. Robotica 38 (7) (2020)
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, Martin Leib
Layerwise learning for quantum neural networks. CoRR (2020)
Wolfgang E. Kerzendorf, Christian Vogl, Johannes Buchner, Gabriella Contardo, Marc Williamson, Patrick van der Smagt
Dalek - a deep-learning emulator for TARDIS. CoRR (2020)
Patrick van der Smagt
When Machine Learning Implies Intelligence [Young Professionals]. IEEE Robotics Autom. Mag. 27 (2) (2020)
Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
Learning to Fly via Deep Model-Based Reinforcement Learning. CoRR (2020)
Nutan Chen, Alexej Klushyn, Francesco Ferroni, Justin Bayer, Patrick van der Smagt
Learning Flat Latent Manifolds with VAEs. ICML (2020)
Richard Kurle, Botond Cseke, Alexej Klushyn, Patrick van der Smagt, Stephan Günnemann
Continual Learning with Bayesian Neural Networks for Non-Stationary Data. ICLR (2020)
Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations. CoRR (2019)
Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer
On Deep Set Learning and the Choice of Aggregations. ICANN (1) (2019)
Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
Switching Linear Dynamics for Variational Bayes Filtering. ICML (2019)
Maximilian Soelch, Adnan Akhundov, Patrick van der Smagt, Justin Bayer
On Deep Set Learning and the Choice of Aggregations. CoRR (2019)
Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt
Increasing the Generalisaton Capacity of Conditional VAEs. ICANN (2) (2019)
Georgi Dikov, Patrick van der Smagt, Justin Bayer
Bayesian Learning of Neural Network Architectures. CoRR (2019)
Richard Kurle, Stephan Günnemann, Patrick van der Smagt
Multi-Source Neural Variational Inference. AAAI (2019)
Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt
Learning Hierarchical Priors in VAEs. NeurIPS (2019)
Nutan Chen, Göran Westling, Benoni B. Edin, Patrick van der Smagt
Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images. CoRR (2019)
Adnan Akhundov, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
Variational Tracking and Prediction with Generative Disentangled State-Space Models. CoRR (2019)
Alexej Klushyn, Nutan Chen, Botond Cseke, Justin Bayer, Patrick van der Smagt
Increasing the Generalisaton Capacity of Conditional VAEs. CoRR (2019)
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer
Approximate Bayesian Inference in Spatial Environments. Robotics: Science and Systems (2019)
Felix Frank, Alexandros Paraschos, Patrick van der Smagt
ORC - A Lightweight, Lightning-Fast Middleware. IRC (2019)
Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
Switching Linear Dynamics for Variational Bayes Filtering. CoRR (2019)
Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt
Fast Approximate Geodesics for Deep Generative Models. ICANN (2) (2019)
Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt
Learning Hierarchical Priors in VAEs. CoRR (2019)
Maximilian Karl, Philip Becker-Ehmck, Maximilian Soelch, Djalel Benbouzid, Patrick van der Smagt, Justin Bayer
Unsupervised Real-Time Control Through Variational Empowerment. ISRR (2019)
Nutan Chen, Francesco Ferroni, Alexej Klushyn, Alexandros Paraschos, Justin Bayer, Patrick van der Smagt
Fast Approximate Geodesics for Deep Generative Models. CoRR (2018)
Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt
Metrics for Deep Generative Models. AISTATS (2018)
Richard Kurle, Stephan Günnemann, Patrick van der Smagt
Multi-Source Neural Variational Inference. CoRR (2018)
Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt
Active Learning based on Data Uncertainty and Model Sensitivity. CoRR (2018)
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
Approximate Bayesian inference in spatial environments. CoRR (2018)
Nutan Chen, Alexej Klushyn, Alexandros Paraschos, Djalel Benbouzid, Patrick van der Smagt
Active Learning based on Data Uncertainty and Model Sensitivity. IROS (2018)
Rui Zhao, Haider Ali, Patrick van der Smagt
Two-Stream RNN/CNN for Action Recognition in 3D Videos. CoRR (2017)
Nutan Chen, Alexej Klushyn, Richard Kurle, Xueyan Jiang, Justin Bayer, Patrick van der Smagt
Metrics for Deep Generative Models. CoRR (2017)
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
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform. Frontiers Neurorobotics 11 (2017)
Jörn Vogel, Naohiro Takemura, Hannes Höppner, Patrick van der Smagt, Gowrishankar Ganesh
Hitting the sweet spot: Automatic optimization of energy transfer during tool-held hits. ICRA (2017)
Rui Zhao, Haider Ali, Patrick van der Smagt
Two-stream RNN/CNN for action recognition in 3D videos. IROS (2017)
Hannes Höppner, Maximilian Große-Dunker, Georg Stillfried, Justin Bayer, Patrick van der Smagt
Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography. Frontiers Neurorobotics 11 (2017)
Sebastian Urban, Marcus Basalla, Patrick van der Smagt
Gaussian Process Neurons Learn Stochastic Activation Functions. CoRR (2017)
Sebastian Urban, Patrick van der Smagt
Automatic Differentiation for Tensor Algebras. CoRR (2017)
Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. ICLR (Poster) (2017)
Baris Kayalibay, Grady Jensen, Patrick van der Smagt
CNN-based Segmentation of Medical Imaging Data. CoRR (2017)
Wiebke Köpp, Patrick van der Smagt, Sebastian Urban
A Differentiable Transition Between Additive and Multiplicative Neurons. CoRR (2016)
Maximilian Karl, Artur Lohrer, Dhananjay Shah, Frederik Diehl, Max Fiedler, Saahil Ognawala, Justin Bayer, Patrick van der Smagt
ML-based tactile sensor calibration: A universal approach. CoRR (2016)
Andreas Blenk, Patrick Kalmbach, Patrick van der Smagt, Wolfgang Kellerer
Boost online virtual network embedding: Using neural networks for admission control. CNSM (2016)
Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters
Stable reinforcement learning with autoencoders for tactile and visual data. IROS (2016)
Maximilian Karl, Maximilian Soelch, Justin Bayer, Patrick van der Smagt
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data. CoRR (2016)
Nutan Chen, Maximilian Karl, Patrick van der Smagt
Dynamic movement primitives in latent space of time-dependent variational autoencoders. Humanoids (2016)
Christoph Richter, Sören Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt
Scalability in Neural Control of Musculoskeletal Robots. CoRR (2016)
Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt
Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series. CoRR (2016)
Christoph Richter, Soren Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt
Musculoskeletal Robots: Scalability in Neural Control. IEEE Robotics Autom. Mag. 23 (4) (2016)
Maximilian Karl, Justin Bayer, Patrick van der Smagt
Unsupervised preprocessing for Tactile Data. CoRR (2016)
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
FlowNet: Learning Optical Flow with Convolutional Networks. ICCV (2015)
Sebastian Urban, Patrick van der Smagt
A Neural Transfer Function for a Smooth and Differentiable Transition Between Additive and Multiplicative Interactions. CoRR (2015)
Maximilian Karl, Justin Bayer, Patrick van der Smagt
Efficient Empowerment. CoRR (2015)
Justin Bayer, Maximilian Karl, Daniela Korhammer, Patrick van der Smagt
Fast Adaptive Weight Noise. CoRR (2015)
Nutan Chen, Sebastian Urban, Justin Bayer, Patrick van der Smagt
Measuring fingertip forces from camera images for random finger poses. IROS (2015)
Hannes Höppner, Markus Grebenstein, Patrick van der Smagt
Two-dimensional orthoglide mechanism for revealing areflexive human arm mechanical properties. IROS (2015)
Nutan Chen, Justin Bayer, Sebastian Urban, Patrick van der Smagt
Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders. Humanoids (2015)
Jörn Vogel, Sami Haddadin, Beata Jarosiewicz, John D. Simeral, Daniel Bacher, Leigh R. Hochberg, John P. Donoghue, Patrick van der Smagt
An assistive decision-and-control architecture for force-sensitive hand-arm systems driven by human-machine interfaces. Int. J. Robotics Res. 34 (6) (2015)
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
FlowNet: Learning Optical Flow with Convolutional Networks. CoRR (2015)
Zoltán Ádám Milacski, Marvin Ludersdorfer, András Lörincz, Patrick van der Smagt
Robust Detection of Anomalies via Sparse Methods. ICONIP (3) (2015)
Justin Bayer, Christian Osendorfer, Nutan Chen, Sebastian Urban, Patrick van der Smagt
On Fast Dropout and its Applicability to Recurrent Networks. ICLR (Poster) (2014)
Christian Osendorfer, Hubert Soyer, Patrick van der Smagt
Image Super-Resolution with Fast Approximate Convolutional Sparse Coding. ICONIP (3) (2014)
Hannes Höppner, Wolfgang Wiedmeyer, Patrick van der Smagt
A new biarticular joint mechanism to extend stiffness ranges. ICRA (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Patrick van der Smagt