Anand Subramoney
- Long short-term memory and learning-to-learn in networks of spiking neurons
2018/03/26 by Guillaume Bellec, Bellec, Guillaume, Darjan Salaj +7 · 24 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)
- Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks
2024/10/15 by Y. Tian, Yudou Tian, Sushma, Neeraj Mohan +11 · 3 voices
Computer Science · Physics and Astronomy · Engineering · #Neural Networks and Applications #Model Reduction and Neural Networks #Fault Detection and Control Systems
- Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
2022/06/13 by Anand Subramoney, Khaleelulla Khan Nazeer, Subramoney, Anand +7 · 8 citations
Engineering · Computer Science · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing
- 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 · 7 citations
Engineering · Neuroscience · #Advanced Memory and Neural Computing #Neural dynamics and brain function #CCD and CMOS Imaging Sensors
- Exploring the limits of Hierarchical World Models in Reinforcement Learning
2024/06/01 by Robin Schiewer, Schiewer, Robin, Anand Subramoney +3 · 5 citations
Computer Science · #Evolutionary Algorithms and Applications
- Language Modeling on a SpiNNaker 2 Neuromorphic Chip
2023/12/14 by Khaleelulla Khan Nazeer, Nazeer, Khaleelulla Khan, Mark Schöne +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)