Anand Subramoney

33 papers A* 2C 2Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Probing Length Generalization in Mamba via Image Reconstruction. CoRR Jan Rathjens, Robin Schiewer, Laurenz Wiskott, Anand Subramoney
2026	J	`jnl`	Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX. CoRR Lukas König, Manuel Kuhn, David Kappel, Anand Subramoney
2025	J	`jnl`	Efficient large language model with analog in-memory computing. Nat. Comput. Sci. Anand Subramoney
2025	—	`conf`	Utilizing Dynamic Sparsity on Pretrained DETR. MLSP Reza Sedghi, Anand Subramoney, David Kappel
2025	J	`jnl`	Utilizing dynamic sparsity on pretrained DETR. CoRR Reza Sedghi, Anand Subramoney, David Kappel
2024	J	`jnl`	Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates. CoRR Cabrel Teguemne Fokam, Khaleelulla Khan Nazeer, Lukas König, David Kappel, Anand Subramoney
2024	J	`jnl`	Exploring the limits of Hierarchical World Models in Reinforcement Learning. CoRR Robin Schiewer, Anand Subramoney, Laurenz Wiskott
2024	—	`conf`	Language Modeling on a SpiNNaker2 Neuromorphic Chip. AICAS Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney
2024	J	`jnl`	STREAM: A Universal State-Space Model for Sparse Geometric Data. CoRR Mark Schöne, Yash Bhisikar, Karan Bania, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney, David Kappel
2024	—	`conf`	Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models. ICONS Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel
2024	J	`jnl`	Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. CoRR Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel
2024	J	`jnl`	State-space models can learn in-context by gradient descent. CoRR Neeraj Mohan Sushma, Yudou Tian, Harshvardhan Mestha, Nicolò Colombo, David Kappel, Anand Subramoney
2024	—	`conf`	Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. ICONS Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney
2024	J	`jnl`	Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models. CoRR Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney
2023	J	`jnl`	Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference. CoRR Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney
2023	—	`conf`	Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. ICONS Edoardo W. Grappolini, Anand Subramoney
2023	J	`jnl`	Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training. CoRR Edoardo W. Grappolini, Anand Subramoney
2023	J	`jnl`	Block-local learning with probabilistic latent representations. CoRR David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney
2023	J	`jnl`	Efficient Real Time Recurrent Learning through combined activity and parameter sparsity. CoRR Anand Subramoney
2023	A*	`conf`	Efficient recurrent architectures through activity sparsity and sparse back-propagation through time. ICLR Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
2023	J	`jnl`	Language Modeling on a SpiNNaker 2 Neuromorphic Chip. CoRR Khaleelulla Khan Nazeer, Mark Schöne, Rishav Mukherji, Christian Mayr, David Kappel, Anand Subramoney
2022	J	`jnl`	EGRU: Event-based GRU for activity-sparse inference and learning. CoRR Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne, Christian Mayr, David Kappel
2022	J	`jnl`	Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers Comput. Neurosci. 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
2022	J	`jnl`	Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn. CoRR 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
2021	—	`ch.`	Reservoirs Learn to Learn. Reservoir Computing Anand Subramoney, Franz Scherr, Wolfgang Maass
2020	J	`jnl`	Embodied Synaptic Plasticity with Online Reinforcement learning. CoRR Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
2019	J	`jnl`	Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers Neurorobotics Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
2019	J	`jnl`	Reservoirs learn to learn. CoRR Anand Subramoney, Franz Scherr, Wolfgang Maass
2018	A*	`conf`	Long short-term memory and Learning-to-learn in networks of spiking neurons. NeurIPS Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass
2018	J	`jnl`	Long short-term memory and Learning-to-learn in networks of spiking neurons. CoRR Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass
2017	C	`conf`	Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS 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
2017	J	`jnl`	Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR 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
2012	C	`conf`	Task decomposition with neuroevolution in extended predator-prey domain. ALIFE Ashish Jain, Anand Subramoney, Risto Miikkulainen