Anand Subramoney

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 21

Top Topics

Reinforcement Learning

Spiking Neural Networks

Biologically Plausible

Parameter Space

Top Venues

Frontiers Neurorobotics

Publications

Robin Schiewer, Anand Subramoney, Laurenz Wiskott
Exploring the limits of Hierarchical World Models in Reinforcement Learning. CoRR (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)
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 (2024)
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR (2024)
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
Block-local learning with probabilistic latent representations. CoRR (2023)
Anand Subramoney
Efficient Real Time Recurrent Learning through combined activity and parameter sparsity. CoRR (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)
Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney
Language Modeling on a SpiNNaker 2 Neuromorphic Chip. CoRR (2023)
Edoardo W. Grappolini, Anand Subramoney
Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. CoRR (2023)
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference. CoRR (2023)
Edoardo W. Grappolini, Anand Subramoney
Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. ICONS (2023)
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
EGRU: Event-based GRU for activity-sparse inference and learning. CoRR (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 (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 (2022)
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 (2020)
Anand Subramoney, Franz Scherr, Wolfgang Maass
Reservoirs learn to learn. CoRR (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 (2019)
Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass
Long short-term memory and Learning-to-learn in networks of spiking neurons. CoRR (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)
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 (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)
Ashish Jain, Anand Subramoney, Risto Miikkulainen
Task decomposition with neuroevolution in extended predator-prey domain. ALIFE (2012)