• 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 29 matches

• 2024
• 
  Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney:
  Language Modeling on a SpiNNaker2 Neuromorphic Chip. AICAS 2024: 492-496
• 
  Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney:
  Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. ICONS 2024: 132-139
• 
  Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel:
  Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models. ICONS 2024: 124-131
• 
  Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel:
  Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. CoRR abs/2404.18508 (2024)
• 
  Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney:
  Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR abs/2405.00433 (2024)
• 
  Robin Schiewer, Anand Subramoney, Laurenz Wiskott:
  Exploring the limits of Hierarchical World Models in Reinforcement Learning. CoRR abs/2406.00483 (2024)
• 
  Cabrel Teguemne Fokam, Khaleelulla Khan Nazeer, Lukas König, David Kappel, Anand Subramoney:
  Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates. CoRR abs/2410.05985 (2024)
• 
  Neeraj Mohan Sushma, Yudou Tian, Harshvardhan Mestha, Nicolò Colombo, David Kappel, Anand Subramoney:
  State-space models can learn in-context by gradient descent. CoRR abs/2410.11687 (2024)
• 2023
• 
  Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel:
  Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. ICLR 2023
• 
  Edoardo W. Grappolini, Anand Subramoney:
  Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. ICONS 2023: 23:1-23:4
• 
  Anand Subramoney:
  Efficient Real Time Recurrent Learning through combined activity and parameter sparsity. CoRR abs/2303.05641 (2023)
• 
  David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney:
  Block-local learning with probabilistic latent representations. CoRR abs/2305.14974 (2023)
• 
  Edoardo W. Grappolini, Anand Subramoney:
  Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. CoRR abs/2306.06237 (2023)
• 
  Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney:
  Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference. CoRR abs/2311.07625 (2023)
• 
  Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney:
  Language Modeling on a SpiNNaker 2 Neuromorphic Chip. CoRR abs/2312.09084 (2023)
• 2022
• 
  Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier:
  Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers Comput. Neurosci. 16: 885207 (2022)
• 
  Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier:
  Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn. CoRR abs/2202.13822 (2022)
• 
  Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel:
  EGRU: Event-based GRU for activity-sparse inference and learning. CoRR abs/2206.06178 (2022)
• 2021
• 
  Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
  RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. DAC 2021: 253-258
• 
  Anand Subramoney, Franz Scherr, Wolfgang Maass:
  Reservoirs Learn to Learn. Reservoir Computing 2021: 59-76
• 
  Geonhwa Jeong, Eric Qin, Ananda Samajdar, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna:
  RASA: Efficient Register-Aware Systolic Array Matrix Engine for CPU. CoRR abs/2110.01752 (2021)
• 2020
• 
  Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
  Embodied Synaptic Plasticity with Online Reinforcement learning. CoRR abs/2003.01431 (2020)
• 2019
• 
  Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann:
  Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers Neurorobotics 13: 81 (2019)
• 
  Anand Subramoney, Franz Scherr, Wolfgang Maass:
  Reservoirs learn to learn. CoRR abs/1909.07486 (2019)
• 2018
• 
  Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass:
  Long short-term memory and Learning-to-learn in networks of spiking neurons. NeurIPS 2018: 795-805
• 
  Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass:
  Long short-term memory and Learning-to-learn in networks of spiking neurons. CoRR abs/1803.09574 (2018)
• 2017
• 
  Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, Robert D. St. Louis, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
  Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4
• 
  Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier:
  Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR abs/1703.06043 (2017)
• 2012
• 
  Ashish Jain, Anand Subramoney, Risto Miikkulainen:
  Task decomposition with neuroevolution in extended predator-prey domain. ALIFE 2012