Subramoney, Anand

1. Long short-term memory and learning-to-learn in networks of spiking neurons
   2018/03/26 by Guillaume Bellec, Darjan Salaj, Bellec, Guillaume +7 · 22 citations
   Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
2. Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
   2024/10/15 by Y. Tian, Yudou Tian, Neeraj Mohan Sushma +11 · 3 voices
   Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Fault Detection and Control Systems
3. Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
   2022/06/13 by Anand Subramoney, Khaleelulla Khan Nazeer, Subramoney, Anand +7 · 7 citations
   Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
4. Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models
   2024/04/29 by Mark Schöne, Schöne, Mark, Neeraj Mohan Sushma +9 · 6 citations
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #CCD and CMOS Imaging Sensors
5. Exploring the limits of Hierarchical World Models in Reinforcement Learning
   2024/06/01 by Robin Schiewer, Anand Subramoney, Schiewer, Robin +3 · 5 citations
   Computer Science · #Evolutionary Algorithms and Applications
6. Language Modeling on a SpiNNaker 2 Neuromorphic Chip
   2023/12/14 by Khaleelulla Khan Nazeer, Mark Schöne, Nazeer, Khaleelulla Khan +10 · 5 citations
   Computer Science · Engineering · #Advanced Memory and Neural Computing #Computation and Language (cs.CL) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE)
7. Block-local learning with probabilistic latent representations
   2023/05/24 by Kappel, David, Nazeer, Khaleelulla Khan, Fokam, Cabrel Teguemne +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Efficient Real Time Recurrent Learning through combined activity and parameter sparsity
   2023/03/10 by Subramoney, Anand · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
   2024/10/08 by Fokam, Cabrel Teguemne, Nazeer, Khaleelulla Khan, König, Lukas +2 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #G.1.6 #I.2.6 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)