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Bosch Center for Artificial Intelligence
Research

Publications

We want to be a part of the scientific community by contributing our research results to international conferences and journals.

Introduction

Publishing enables us to collaborate and learn from the broader scientific community. Below you find a number of papers presented at international conferences and published in renowned journals.

2019

  • Bosch BCAI

    Li et al.

    Adversarial Music: Real world Audio Adversary against Wake-word Detection System
    • Authors: Juncheng B. Li, Shuhui Qu, Xinjian Li, Jospeh Szurley, J. Zico Kolter, Florian Metze
    • Published in NeurIPS 2019
  • Bosch BCAI

    Bai et al.

    Deep Equilibrium Models
    • Authors: Shaojie Bai, J. Zico Kolter, Vladlen Koltun
    • Published in NeurIPS 2019
  • Bosch BCAI

    Nguyen et al.

    DeepUSPS: Deep Robust Unsupervised Saliency PredictionWith Self-Supervision
    • Authors: Duc Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, Thomas Brox
    • Published in NeurIPS 2019
  • Bosch BCAI

    Agrawal et al.

    Differentiable Convex Optimization Layers
    • Authors: Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, J. Zico Kolter
    • Published in NeurIPS 2019
  • Bosch BCAI

    Hoyer et al.

    Grid Saliency for Context Explanations of Semantic Segmentation
    • Authors: Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer
    • Published in NeurIPS 2019
  • Bosch BCAI

    Manek et al.

    Learning Stable Deep Dynamics Models
    • Authors: Gaurav Manek, J. Zico Kolter
    • Published in NeurIPS 2019
  • Progressive Augmentation of GANs

    Zhang et al.

    Progressive Augmentation of GANs
    • Authors: Dan Zhang, Anna Khoreva
    • Published in NeurIPS 2019
  • The Functional Neural Process

    Louizos et al.

    The Functional Neural Process
    • Authors: Christos Louizos, Xiahan Shi, Klamer Schutte, Max Welling
    • Published in NeurIPS 2019
  • Uniform convergence may be unable to explaingeneralization in deep learning

    Nagarajan et al.

    Uniform convergence may be unable to explaingeneralization in deep learning
    • Authors: Vaishnavh Nagarajan, J. Zico Kolter
    • Published in NeurIPS 2019
  • Bosch BCAI

    Jaquier et al.

    Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
    • Authors: Noemie Jaquier, Leonel Rozo, Sylvain Calinon, Mathias Bürger
    • Published in CORL 2019
  • Bosch BCAI

    Guo et al.

    Predictive Safety Network for Resource-constrained Multi-agent Systems
    • Authors: Meng Guo, Mathias Bürger
    • Published in CORL 2019
  • Bosch BCAI

    Schwenkel et al.

    Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
    • Authors: Lukas Schwenkel, Meng Guo, Mathias Bürger
    • Published in CORL 2019
  • #

    Kandemir et al.

    Deep Active Learning with Adaptive Acquisition
    • Authors: Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir
    • Published in IJCAI 2019
  • #

    Kandemir et al.

    Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
    • Authors: Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir
    • Published in UAI 2019
  • Becker et al.

    "Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces"
    • Authors: Philipp Becker, Harit Pandya, Gregor Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann
    • Published in ICML 2019
  • Trouleau et al.

    "Learning Hawkes Processes Under Synchronization Noise"
    • Authors: William Trouleau, Jalai Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran
    • Published in ICML 2019
  • Cohen et al.

    "Certified Adversarial Robustness via Randomized Smoothing"
    • Authors: Jeremy Cohen, Elan Rosenfeld, Zico Kolter
    • Published in ICML 2019
  • Wang et al.

    "SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver"
    • Authors: Po-Wei Wang, Priya Donti, Bryan Wilder, Zico Kolter
    • Published in ICML 2019
  • Akrour et al.

    "Projections for Approximate Policy Iteration Algorithms"
    • Authors: Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann
    • Published in ICML 2019
  • Hoogeboom et al.

    "Emerging Convolutions for Generative Normalizing Flows"
    • Authors: Emiel Hoogeboom, Rianne Van den Berg, Max Welling
    • Published in ICML 2019
  • Doeer et al.

    "Trajectory-Based Off-Policy Deep Reinforcement Learning"
    • Authors: Andreas Doeer, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
    • Published in ICML 2019
  • John et al.

    "GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver"
    • Authors: David John, Vincent Heuveline, Michael Schober
    • Published in ICML 2019
  • Wong et al.

    "Wasserstein Adversarial Examples via Projected Sinkhorn Iterations"
    • Authors: Eric Wong, Frank R. Schmidt, Zico Kolter
    • Published in ICML 2019
  • Li et al.

    "Adversarial camera stickers: A physical camera-based attack on deep learning systems"
    • Authors: Juncheng Li, Frank R. Schmidt, Zico Kolter
    • Published in ICML 2019
  • Bosch BCAI

    Rozo et al.

    "Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives"
    • Authors : Joao Silverio, Yanlong Huang, F. Abu-dakka, Leonel Rozo, Darwin G. Caldwell
    • Published in IROS
  • Bosch BCAI

    Rozo et al.

    "Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies"
    • Authors : Domingo Esteban, Leonel Rozo, Darwin G. Caldwell
    • Published in IROS
  • #

    Mohamed et al.

    "Tracy: Tracing Facts over Knowledge Graphs and Text"
    • Authors: Mohamed H. Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum
    • Published in WWW
  • #

    Mohamed et al.

    "ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text"
    • Authors: Mohamed H. Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum
    • Published in WSDM
  • #

    Schönfeld et al.

    Generalized Zero- and Few- Shot Learning via Aligned Variational Autoencoders
    • Authors: Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, and Zeynap Akata
    • Published in CVPR
  • #

    Dikeoulias et al.

    Epitaph or Breaking News? Analyzing and Predicting the Stability of Knowledge Base Properties
    • Authors: Ioannis Dikeoulias, Jannik Strötgen, Simon Razniewski
    • Published in TempWeb
  • #

    Kharlamov et al.

    "Ontology-Mediated Analytics-Aware Approach to Support Monitoring and Diagnostics of Static and Streaming Data"
    • Authors: Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis, Christian Neuenstadt, Charalampos Nikolaou, Özgür Özçep, Christoforos Svingos, DmitriyZheleznyakov, Yannis Ioannidis, Steffen Lamparter, Ralf Möller, Arild Waaler
    • Published in Journal of Web Semantics
  • #

    Lange et al.

    "The Power of Temporal Features for Classifying News Articles"
    • Authors: Lukas Lange, Omar Alonso, Jannik Strötgen:
    • Published in TempWeb
  • Zheleznyakov et al.

    "On Expansion and Contraction of DL-Lite Knowledge Bases"
    • Authors: Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt, Diego Calvanese
    • Published in Journal of Web Semantics
  • #

    Gupta et al.

    "Generating Semantic Aspects for Queries"
    • Authors: Dhruv Gupta, Klaus Berberich, Jannik Strötgen and Demetrios Zeinalipour-Yazti:
    • Published in ESWC
  • #

    Elsken et al.

    "Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution"
    • Authors: Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
    • Published in ICLR 2019
  • #

    Elsken et al.

    “Neural Architecture Search: A Survey”
    • Authors: Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
    • Published in JMLR 2019
  • #

    Elsken et al.

    “Neural Architecture Search: A Survey”
    • Authors: Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
    • Published in JMLR 2019

2018

  • E. Wong et al.

    "Scaling provable adversarial defenses"
    • Authors: E. Wong, F. R. Schmidt, J. H. Metzen, Z. Kolter
    • Published in NeurIPS
  • V. Fischer et al.

    "The streaming rollout of deep networks - towards fully model-parallel execution"
    • Authors: V. Fischer, T. Pfeil, J. Köhler
    • Published in NeurIPS
  • M. Pfeiffer et al.

    "Deep Learning with Spiking Neurons: Opportunities and Challenges"
    • Authors: M. Pfeiffer, T. Pfeil
    • Published in Frontiers
  • L. Beggel et al.

    "Time series anomaly detection based on shapelet learning"
    • Authors: L. Beggel, B. Kausler, M. Schiegg, M. Pfeiffer, and B. Bischl
    • Published in Computational Statistics
  • K. Patel et al.

    "Better Fiber ODFs From Suboptimal Data With Autoencoder Based Regularization"
    • Authors: K. Patel, S. Groeschel, T. Schultz
    • Published in MICCAI 2018
  • V. Estellers et al.

    "Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis"
    • Authors: V. Estellers, F. R. Schmidt, D. Cremers
    • Published in 3DV 2018
  • J. Wagner et al.

    "Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation"
    • Authors: J. Wagner, V. Fischer, M. Herman and S. Behnke
    • Published in BMVC 2018
  • Jia et al.

    "TEQUILA: Temporal Question Answering over Knowledge Bases."
    • Authors: Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy, Jannik Strötgen, and Gerhard Weikum.
    • Published in CIKM 2018
  • Agarwal et al.

    "diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora."
    • Prabal Agarwal, Jannik Strötgen, Johannes Hoffart, Luciano del Corro, and Gerhard Weikum.
    • Published in ACL 2018
  • Reeb et al.

    "Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds"
    • Authors: D. Reeb, A. Doerr, S. Gerwinn, B. Rakitsch
    • Published in NeurIPS
  • Zimmer et al.

    "Safe Active Learning for Time-Series Modeling with Gaussian Processes"
    • Authors: C. Zimmer, M. Meister, D. Nguyen-Tuong
    • Published in NeurIPS
  • Salehkaleybar et al.

    "Learning Vector Autoregressive Models with Latent Processes"
    • Authors: S. Salehkaleybar, J. Etesami, N. Kiyavash, K. Zhang
    • Published in AAAI 2018
  • Schillinger et al.

    "Simultaneous Task Allocation & Planning for Temporal Logic Goals in Heterogeneous Multi-Robot Sys."
    • Authors: P. Schillinger, M. Bürger, D. Dimarogonas
    • Published in IJRR 2018
  • Lange et al.

    "Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering"
    • Authors: J.-H. Lange, A. Karrenbauer, B. Andres
    • Published in ICML 2018
  • Domokos et al.

    "MRF Optimization with Separable Convex Prior on Partially Ordered Labels"
    • Authors: C. Domokos, F. R. Schmidt, Daniel Cremers
    • Published in ECCV 2018
  • Etesami et al.

    "Econometric Modeling of Systemic Risk: A Time Series Approach"
    • Authors: J. Etesami, A. Habibnia, N. Kiyavash
    • Published in KDD 2018
  • Sensoy et al.

    "Evidential Deep Learning to Quantify Classification Uncertainty"
    • Authors: M. Sensoy, L. Kaplan, M. Kandemir
    • Published in NeurIPS
  • Laude et al.

    "Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs"
    • Authors: E. Laude, J.-H. Lange, J. Schüpfer, C. Domokos, L. Leal-Taixé, F. R. Schmidt, B. Andres, D. Cremers
    • Published in CVPR 2018
  • Beluch et al.

    "The power of ensembles for active learning in image classification"
    • Authors: William Beluch, Tim Genewein, Andreas Nürnberger, Jan Köhler
    • Published in CVPR 2018
  • Achterhold et al.

    "Variational Network Quantization"
    • Authors: Achterhold J., Köhler J. M., Schmeink A., Genewein T.
    • Published in ICLR 2018
  • Doerr et al.

    "Probabilistic Recurrent State Space Models"
    • Authors: Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
    • Published in ICML 2018

2017

  • Bosch-BCAI CoRL

    Doerr et al.

    "Optimizing Long-term Predictions for Model-based Policy Search"
    • Authors: Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
    • Published in CoRL
  • Bosch BCAI - Publication - JMLR

    Meister and Steinwart

    "Optimal Learning Rates for Localized SVMs"
    • Authors: Mona Meister, Ingo Steinwart
    • Published in JMLR
  • Bosch BCAI - Publication - ICLR

    Metzen et al.

    "On Detecting Adversarial Perturbations"
    • Authors: Jan Hendrik Metzen, Tim Genewein, Volker Fischer, and Bastian Bischoff
    • Published in ICLR
  • Bosch BCAI - Publication - Workshop track ICLR

    Fischer et al.

    "Adversarial examples for semantic image segmentation"
    • Authors: Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, and Thomas Brox
    • Workshop track ICLR
  • Bosch BCAI - Publication - ICRA

    Schillinger et al.

    "Multi-Objective Search for Optimal Multi-Robot Planning with Finite LTL Specifications..."
    • Authors: Philipp Schillinger, Mathias Bürger, and Dimos V. Dimarogonas
    • Published in ICRA
  • Bosch BCAI - Publication - ICCV

    Metzen et al.

    "Universal Adversarial Perturbations Against Semantic Image Segmentation"
    • Authors: Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, and Volker Fischer
    • Published in ICCV
  • Bosch BCAI - Publications - ICRA

    Doerr et al.

    "Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers"
    • Authors: Andreas Doerr, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, and Sebastian Trimpe
    • Published in ICRA
  • Bosch BCAI - Publication - ICIP

    Gondal et al.

    "Weakly-Supervised Localization of Diabetic Retinopathy Lesions in Retinal Fundus Images"
    • Authors: Waleed M. Gondal, Jan M. Köhler, Rene Grzeszick, Gernot A. Fink, and Michael Hirsch
    • Published in ICIP
  • Bosch BCAI - Publication - IFAC

    Schillinger et al.

    "Safe Active Learning and Bayesian Optimization for Tuning a PI-Controller"
    • Authors: Mark Schillinger, Benjamin Hartmann, Patric Skalecki, Mona Meister, Duy Nguyen-Tuong, and Oliver Nelles
    • Published in IFAC
  • Bosch BCAI - Publication - Big Data

    Heit et al.

    "An Architecture for the Deployment of Statistical Models for the Big Data Era"
    • Authors: Juergen Heit, Jiayi Liu, and Mohak Shah
    • Published in Big Data
  • Bosch BCAI - Publication - ESANN

    Wagner et al.

    "Learning Semantic Prediction using Pretrained Deep Feedforward Networks"
    • Authors: Jörg Wagner, Volker Fischer, Michael Herman, and Sven Behnke
    • Published in ESANN
  • Boch BCAI - ICLR

    Zhang et al.

    "Deep learning on symbolic representations for large-scale heterogeneous time-series event..."
    • Authors: Shengdong Zhang, Soheil Bahrampour, Naveen Ramakrishnan
    • Published in IEEE Xplore in 2017

2016

  • Bosch BCAI - Publication - Neuro Comp

    Schreiter et al.

    "Efficient Sparsification for Gaussian Process Regression"
    • Authors: Jens Schreiter, Duy Nguyen-Tuong, and Marc Toussaint
    • Published in Neuro Comp
  • Bosch BCAI - Publication - DARS

    Schillinger et al.

    "Decomposition of Finite LTL Specifications for Efficient Multi-Agent Planning"
    • Authors: Philipp Schillinger, Mathias Bürger, and Dimos V. Dimarogonas
    • Published in DARS
  • Bosch BCAI - Publication - ICML

    Vinogradska et al.

    "Stability of Controllers for Gaussian Process Forward Models"
    • Authors: Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Henner Schmidt, Anne Romer, and Jan Peters
    • Published in ICML
  • Bosch BCAI - Publication - ICML

    Metzen

    "Minimum Regret Search for Single- and Multi-Task Optimization"
    • Authors: Jan Hendrik Metzen
    • Published in ICML
  • Bosch BCAI - Publication - ECML

    Daniel et al.

    "Probabilistic Inference for Determining Options in Reinforcement Learning"
    • Authors: Christian Daniel, Herke van Hoof, Jan Peters, and Gerhard Neumann
    • Published in ECML
  • Bosch BCAI - Publications - AISTATS

    Herman et al.

    "Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics"
    • Authors: Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, and Wolfram Burgard
    • Published in AISTATS
  • Bosch BCAI - Publication - Springer Handbook

    Peters et al.

    "Robot Learning"
    • Authors: Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, and Stefan Schaal
    • Published in Springer Handbook
  • Bosch BCAI - Publication - ECCV

    Schiegg et al.

    "Learning Diverse Models: The Coulomb Structured Support Vector Machine"
    • Authors: Martin Schiegg, Ferran Diego, and Fred A. Hamprecht
    • Published in ECCV
  • Bosch BCAI - Publication - ACC

    Koerts et al.

    "Stability Analysis of Networked Systems Containing Damped and Undamped Nodes"
    • Authors: Filip Koerts, Mathias Bürger, Arjan van der Schaft, and Claudio De Persis
    • Published in ACC
  • Bosch BCAI - Publication - ESANN

    Herman et al.

    "Simultaneous Estimation of Rewards and Dynamics from Noisy Expert Demonstrations"
    • Authors: Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, and Wolfram Burgard
    • Published in ESANN
  • Bosch BCAI - Publication - ESANN

    Wagner et al.

    "Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks"
    • Authors: Jörg Wagner, Volker Fischer, Michael Herman, and Sven Behnke
    • Published in ESANN
  • Bosch BCAI - Publication - IV

    Schmitt et al.

    "Predicting Lane Keeping Behavior of Visually Distracted Drivers Using Inverse Suboptimal Control"
    • Authors: Felix Schmitt, Hans-Joachim Bieg, Dietrich Manstetten, Michael Herman, and Rainer Stiefelhagen
    • Published in IV
  • Bosch BCAI - Publication - ISSAM

    Hartmann et al.

    "Online-Methods for Engine Test Bed Measurements Considering Engine Limits"
    • Authors: Benjamin Hartmann, Ernst Kloppenburg, Philip Heuser, René Diener
    • Published in ISSAM
  • Bosch BCAI - Publication - IEEE Big Data

    Heit et al.

    "An Architecture for the Deployment of Statistical Models for the Big Data Era"
    • Authors: Juergen Heit, Jiayi Liu, and Mohak Shah
    • Published in IEEE Big Data
  • Bosch BCAI - Publication - EUROSIM

    Schillinger et al.

    "Safe Active Learning of High Pressure Fuel Supply Systems"
    • Authors: Mark Schillinger, Benedikt Ortelt, Benjamin Hartmann, Jens Schreiter, Mona Meister, Oliver Nelles
    • Published in EUROSIM
  • Bosch BCAI - Publication - ESANN

    Dhar et al.

    "Universum Learning for Multiclass SVM"
    • Authors: Sauptik Dhar, Naveen Ramakrishnan, Vladimir Cherkassky, Mohak Shah
    • Published in SVM in 2016
  • Bosch BCAI - Publication - ICLR

    Heit et al.

    "An architecture for the deployment of statistical models for the big data era"
    • Authors: Juergen Heit, Jiayi Liu, Mohak Shah
    • Published in Big Data in 2016

2015

  • Bosch BCAI - Publication - ECML

    Schreiter et al.

    "Safe Exploration for Active Learning with Gaussian Processes"
    • Authors: Jens Schreiter, Duy Nguyen-Tuong, Mona Eberts, Bastian Bischoff, Heiner Markert, and Marc Toussaint
    • Published in ECML
  • Bosch BCAI - Publication - ICRA

    Herman et al.

    "Inverse Reinforcement Learning of Behavioral Models for Online-Adapting Navigation Strategies"
    • Authors: Michael Herman, Volker Fischer, Tobias Gindele, and Wolfram Burgard
    • Published in ICRA
  • Bosch BCAI - Publication - ICRA

    Schreiter et al.

    "Sparse Gaussian Process Regression for Compliant, Real-time Robot Control"
    • Authors: Jens Schreiter, Peter Englert, Duy Nguyen-Tuong, and Marc Toussaint
    • Published in ICRA
  • Bosch BCAI - ADDM

    Dhar et al.

    "ADMM based Scalable Machine Learning on Spark"
    • Authors: Sauptik Dhar, Congrui Yi Naveen Ramakrishnan, Mohak Shah
    • Published in ADMM in 2015

2014

  • Bosch BCAI - Publication - ECML

    Bischoff et al.

    "Learning Throttle Valve Control Using Policy Search"
    • Authors: Bastian Bischoff, Duy Nguyen-Tuong, Torsten Koller, Heiner Markert, and Alois Knoll
    • Published in ECML
  • Bosch BCAI - Publication - ICRA

    Bischoff et al.

    "Policy Search for Learning Robot Control Using Sparse Data"
    • Authors: B. Bischoff, D. Nguyen-Tuong, H. van Hoof, A. McHutchon, C. E. Rasmussen, A. Knoll, J. Peters, and M. P. Deisenroth
    • Published in ICRA
  • Bosch BCAI - Publication - ISSAM

    Tietze et al.

    "Model-based Calibration of Engine Controller Using Automated Transient Design of Experiment"
    • Authors: Nils Tietze, Ulrich Konigorski, Christian Fleck, Duy Nguyen-Tuong
    • Published in ISSAM

2013

  • Bosch BCAI - Publication - ESANN

    Bischoff et al.

    "Hierarchical Reinforcement Learning for Robot Navigation"
    • Authors: B. Bischoff, D. Nguyen-Tuong, I-H. Lee, F. Streichert, and A. Knoll
    • Published in ESANN
  • Bosch BCAI - Publication - ESANN

    Bischoff et al.

    "Learning Control Under Uncertainty: A Probabilistic Value-Iteration Approach"
    • Authors: B. Bischoff, D. Nguyen-Tuong, H. Markert, and A. Knoll
    • Published in ESANN
  • Bosch BCAI - Publication - SCAI

    Bischoff et al.

    "Solving the 15-Puzzle Game Using Local Value-Iteration"
    • Authors: Bastian Bischoff, Duy Nguyen-Tuong, Heiner Markert, and Alois Knoll
    • Published in SCAI

2012

  • Bosch BCAI - Publication - TransNN

    Nguyen and Peters

    "Online Kernel-Based Learning for Task-Space Tracking Robot Control"
    • Authors: Duy Nguyen-Tuong, Jan Peters
    • Published in TransNN
  • Bosch BCAI - Publication - ICARCV

    Bischoff et al.

    "Fusing Vision and Odometry for Accurate Indoor Robot Localization"
    • Authors: Bastian Bischoff, Duy Nguyen-Tuong, Felix Streichert, Marlon Ewert, and Alois Knoll
    • Published in ICARCV