Klaus-Robert Muller 프로필 사진

Klaus-Robert Muller

Muller, Klaus Robert

대학원

인공지능학과

자료 필터

자료유형

발행연도

2013 ~ 2026
2013 2026

키워드

언어

선택된 필터

  • article
  • conference
  • book

전체 206건 중 81번부터 90번까지의 결과를 표시합니다.

2020
Article

Autonomous robotic nanofabrication with reinforcement learning

  • Leinen, Philipp ; 
  • Esders, Malte ; 
  • Schuett, Kristof T. ; 
  • Wagner, Christian ; 
  • Mueller, Klaus-Robert ; 
  • 외 1명
  • 2020-09
  • Science Advances
  • AMER ASSOC ADVANCEMENT SCIENCE
Article

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

  • 2020-09
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Article

Optimizing for Measure of Performance in Max-Margin Parsing

  • 2020-07
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Article

Ensemble learning of coarse-grained molecular dynamics force fields with a kernel approach

  • 2020-05-21
  • The Journal of Chemical Physics
  • AMER INST PHYSICS
Article

Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain

  • Idaji, Mina Jamshidi ; 
  • Mueller, Klaus-Robert ; 
  • Nolte, Guido ; 
  • Maess, Burkhard ; 
  • Villringer, Arno ; 
  • 외 1명
  • 2020-05-01
  • NeuroImage
  • ACADEMIC PRESS INC ELSEVIER SCIENCE
Article

Towards explaining anomalies: A deep Taylor decomposition of one-class models

  • 2020-05
  • Pattern Recognition
  • ELSEVIER SCI LTD
Article

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

  • Hagele, Miriam ; 
  • Seegerer, Philipp ; 
  • Lapuschkin, Sebastian ; 
  • Bockmayr, Michael ; 
  • Samek, Wojciech ; 
  • ... Mueller, Klaus-Robert ; 
  • 외 2명
  • 2020-04-14
  • Scientific Reports
  • NATURE RESEARCH
Article

Compact and Computationally Efficient Representation of Deep Neural Networks

  • 2020-03
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Article

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis

  • 2020-03
  • NeuroImage
  • ACADEMIC PRESS INC ELSEVIER SCIENCE