Gottwald, Martin;Guo, Mingpan;Shen, Hao.Neural Value Function Approximation in Continuous State Reinforcement Learning Problems.European Workshop on Reinforcement Learning 14 (2018).Lille, France.2018

Gamper, Veronika;Butz, Andreas;Diepold, Klaus.Sooner or Later?: Immediate Feedback As a Source of Inspiration in Electronic Brainstorming.182-190.Proceedings of the 29th Australian Conference on Computer-Human Interaction.Brisbane, Queensland, Australia.ACM.2017

Christ, P. F.;Schlecht, S.;Ettlinger, F.;Grün, F.;Heinle, C.;Tatavatry, S.;Ahmadi, S.;Diepold, K.;Menze, B. H..Diabetes60 — Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks.1526-1535.2017 IEEE International Conference on Computer Vision Workshops (ICCVW).Venice, Italy.2017

Berberich, Nicolas;Diepold, Klaus.The Virtuous Machine - Old Ethics for New Technology?.2018

Aykın, Can;Knopp, Martin;Diepold, Klaus.Deep Reinforcement Learning for Formation Control.1124-1128.27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2018).Nanjing, China.Institute of Electrical and Electronics Engineers (IEEE).2018

Gottwald, Martin;Meyer, Dominik;Hao Shen;Diepold, Klaus.Learning to walk with prior knowledge.1369-1374.2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).IEEE.2017

Knopp, Martin;Aykin, Can;Feldmaier, Johannes;Shen, Hao.Formation Control using GQ(λ) Reinforcement Learning.1043-1048.26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2017).Lisbon, Portugal.Institute of Electrical and Electronics Engineers (IEEE).2017

Sagel, A.;Kleinsteuber, M..Alignment Distances on Systems of Bags.IEEE Transactions on Circuits and Systems for Video Technology.2018.28.10.Oct.2551-2561

Schönung, Gabriel; Habigt, Julian; Diepold, Klaus.Hole Filling for 3-D View Synthesis Using Sparse Representations.2017.71

Sandner, Christiane; Günther, Johannes; Diepold, Klaus.Automated Optimization of Dynamic Neural Network Structure using Genetic Algorithms.2017