• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 34 matches

• 2024
• 
  Alexander Schmidhuber, Ryan O'Donnell, Robin Kothari, Ryan Babbush:
  Quartic quantum speedups for planted inference. CoRR abs/2406.19378 (2024)
• 2020
• 
  Lukas Tuggener, Yvan Putra Satyawan, Alexander Pacha, Jürgen Schmidhuber, Thilo Stadelmann:
  The DeepScoresV2 Dataset and Benchmark for Music Object Detection. ICPR 2020: 9188-9195
• 2014
• 
  Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber:
  Multimodal Similarity-Preserving Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 824-830 (2014)
• 
  Hung Quoc Ngo, Matthew D. Luciw, Jawad Nagi, Alexander Förster, Jürgen Schmidhuber, Ngo Anh Vien:
  Efficient Interactive Multiclass Learning from Binary Feedback. ACM Trans. Interact. Intell. Syst. 4(3): 12:1-12:25 (2014)
• 
  Jürgen Leitner, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber:
  Reactive Reaching and Grasping on a Humanoid - Towards Closing the Action-Perception Loop on the iCub. ICINCO (1) 2014: 102-109
• 
  Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber:
  Improving robot vision models for object detection through interaction. IJCNN 2014: 3355-3362
• 2013
• 
  Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Alexander Förster, Jürgen Schmidhuber:
  Curiosity driven reinforcement learning for motion planning on humanoids. Frontiers Neurorobotics 7: 25 (2013)
• 
  Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber:
  Humanoid learns to detect its own hands. IEEE Congress on Evolutionary Computation 2013: 1411-1418
• 
  Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber:
  Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots. IJCNN 2013: 1-7
• 
  Marijn F. Stollenga, Leo Pape, Mikhail Frank, Jürgen Leitner, Alexander Förster, Jürgen Schmidhuber:
  Task-relevant roadmaps: A framework for humanoid motion planning. IROS 2013: 5772-5778
• 2012
• 
  Leo Pape, Calogero M. Oddo, Marco Controzzi, Christian Cipriani, Alexander Förster, Maria Chiara Carrozza, Jürgen Schmidhuber:
  Learning tactile skills through curious exploration. Frontiers Neurorobotics 6: 6 (2012)
• 
  Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber:
  An Integrated, Modular Framework for Computer Vision and Cognitive Robotics Research (icVision). BICA 2012: 205-210
• 
  Mikhail Frank, Alexander Förster, Jürgen Schmidhuber:
  Reflexive Collision Response with Virtual Skin - Roadmap Planning Meets Reinforcement Learning. ICAART (1) 2012: 642-651
• 
  Jürgen Leitner, Pramod Chandrashekhariah, Simon Harding, Mikhail Frank, Gabriele Spina, Alexander Förster, Jochen Triesch, Jürgen Schmidhuber:
  Autonomous learning of robust visual object detection and identification on a humanoid. ICDL-EPIROB 2012: 1-6
• 
  Mikhail Frank, Jürgen Leitner, Marijn F. Stollenga, Simon Harding, Alexander Förster, Jürgen Schmidhuber:
  The Modular Behavioral Environment for Humanoids and other Robots (MoBeE). ICINCO (2) 2012: 304-313
• 
  Hung Quoc Ngo, Matthew D. Luciw, Alexander Förster, Jürgen Schmidhuber:
  Learning skills from play: Artificial curiosity on a Katana robot arm. IJCNN 2012: 1-8
• 
  Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber:
  Transferring spatial perception between robots operating in a shared workspace. IROS 2012: 1507-1512
• 
  Jonathan Masci, Michael M. Bronstein, Alexander M. Bronstein, Jürgen Schmidhuber:
  Multimodal similarity-preserving hashing. CoRR abs/1207.1522 (2012)
• 2010
• 
  Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber:
  Recurrent policy gradients. Log. J. IGPL 18(5): 620-634 (2010)
• 2007
• 
  Alexander Förster, Alex Graves, Jürgen Schmidhuber:
  RNN-based Learning of Compact Maps for Efficient Robot Localization. ESANN 2007: 537-542
• 
  Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber:
  Solving Deep Memory POMDPs with Recurrent Policy Gradients. ICANN (1) 2007: 697-706
• 2003
• 
  Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
  Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. Neural Networks 16(2): 241-250 (2003)
• 2002
• 
  Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber:
  Learning Precise Timing with LSTM Recurrent Networks. J. Mach. Learn. Res. 3: 115-143 (2002)
• 
  Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
  Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. Neural Comput. 14(9): 2039-2041 (2002)
• 
  Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
  DEKF-LSTM. ESANN 2002: 369-376
• 
  Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
  Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. ICANN 2002: 655-660
• 
  Juan Antonio Pérez-Ortiz, Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
  Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters. ICANN 2002: 1055-1069
• 2001
• 
  Felix A. Gers, Jürgen Schmidhuber:
  LSTM recurrent networks learn simple context-free and context-sensitive languages. IEEE Trans. Neural Networks 12(6): 1333-1340 (2001)
• 
  Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
  Applying LSTM to Time Series Predictable through Time-Window Approaches. ICANN 2001: 669-676
• 
  Felix A. Gers, Douglas Eck, Jürgen Schmidhuber:
  Applying LSTM to Time Series Predictable Through Time-Window Approaches. WIRN 2001: 193-200

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