Anand Subramoney

According to our database, Anand Subramoney authored at least 22 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

State-space models can learn in-context by gradient descent.

Neeraj Mohan Sushma, Yudou Tian, Harshvardhan Mestha, Nicolò Colombo, David Kappel, Anand Subramoney

CoRR, 2024

Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates.

Cabrel Teguemne Fokam, Khaleelulla Khan Nazeer, Lukas König, David Kappel, Anand Subramoney

CoRR, 2024

Exploring the limits of Hierarchical World Models in Reinforcement Learning.

Robin Schiewer, Anand Subramoney, Laurenz Wiskott

CoRR, 2024

Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models.

Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel

Proceedings of the International Conference on Neuromorphic Systems, 2024

Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models.

Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney

Proceedings of the International Conference on Neuromorphic Systems, 2024

Language Modeling on a SpiNNaker2 Neuromorphic Chip.

Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Language Modeling on a SpiNNaker 2 Neuromorphic Chip.

Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney

CoRR, 2023

Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference.

Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney

CoRR, 2023

Block-local learning with probabilistic latent representations.

David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney

CoRR, 2023

Efficient Real Time Recurrent Learning through combined activity and parameter sparsity.

Anand Subramoney

CoRR, 2023

Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training.

Edoardo W. Grappolini, Anand Subramoney

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.

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

Frontiers Comput. Neurosci., 2022

EGRU: Event-based GRU for activity-sparse inference and learning.

Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel

CoRR, 2022

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn.

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

CoRR, 2022

2021

Reservoirs Learn to Learn.

Anand Subramoney, Franz Scherr, Wolfgang Maass

Proceedings of the Reservoir Computing, 2021

2019

Embodied Synaptic Plasticity With Online Reinforcement Learning.

Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann

Frontiers Neurorobotics, 2019

Reservoirs learn to learn.

Anand Subramoney, Franz Scherr, Wolfgang Maass

CoRR, 2019

2018

Long short-term memory and Learning-to-learn in networks of spiking neurons.

Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Pattern representation and recognition with accelerated analog neuromorphic systems.

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

CoRR, 2017

Pattern representation and recognition with accelerated analog neuromorphic systems.

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2012

Task decomposition with neuroevolution in extended predator-prey domain.

Ashish Jain, Anand Subramoney, Risto Miikkulainen

Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012