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Anand Subramoney
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2020 – today
- 2024
- [c8]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 - [c7]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 - [c6]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 - [i16]Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney
Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. CoRR abs/2404.18508 (2024) - [i15]Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR abs/2405.00433 (2024) - [i14]Robin Schiewer, Anand Subramoney
Exploring the limits of Hierarchical World Models in Reinforcement Learning. CoRR abs/2406.00483 (2024) - [i13]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) - [i12]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
- [c5]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 - [c4]Edoardo W. Grappolini
Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. ICONS 2023: 23:1-23:4 - [i11]Anand Subramoney
Efficient Real Time Recurrent Learning through combined activity and parameter sparsity. CoRR abs/2303.05641 (2023) - [i10]David Kappel, Khaleelulla Khan Nazeer
Block-local learning with probabilistic latent representations. CoRR abs/2305.14974 (2023) - [i9]Edoardo W. Grappolini, Anand Subramoney
Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. CoRR abs/2306.06237 (2023) - [i8]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) - [i7]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
- [j2]Alper Yegenoglu
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers Comput. Neurosci. 16: 885207 (2022) - [i6]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) - [i5]Anand Subramoney
EGRU: Event-based GRU for activity-sparse inference and learning. CoRR abs/2206.06178 (2022) - 2021
- [p1]Anand Subramoney
Reservoirs Learn to Learn. Reservoir Computing 2021: 59-76 - 2020
- [i4]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)
2010 – 2019
- 2019
- [j1]Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck
Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers Neurorobotics 13: 81 (2019) - [i3]Anand Subramoney
Reservoirs learn to learn. CoRR abs/1909.07486 (2019) - 2018
- [c3]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 - [i2]Guillaume Bellec, Darjan Salaj, Anand Subramoney
Long short-term memory and Learning-to-learn in networks of spiking neurons. CoRR abs/1803.09574 (2018) - 2017
- [c2]Mihai A. Petrovici
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 2017: 1-4 - [i1]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
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR abs/1703.06043 (2017) - 2012
- [c1]Ashish Jain, Anand Subramoney
Task decomposition with neuroevolution in extended predator-prey domain. ALIFE 2012
Coauthor Index
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