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Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales
  for Pruning Recurrent SNN

Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN

6 March 2024
Biswadeep Chakraborty
Beomseok Kang
H. Kumar
Saibal Mukhopadhyay
ArXivPDFHTML

Papers citing "Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN"

11 / 11 papers shown
Title
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning
Biswadeep Chakraborty
Saibal Mukhopadhyay
40
0
0
02 Apr 2025
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Yongqi Ding
Lin Zuo
Mengmeng Jing
Pei He
Hanpu Deng
42
1
0
20 Feb 2025
A Dynamical Systems-Inspired Pruning Strategy for Addressing
  Oversmoothing in Graph Neural Networks
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
Biswadeep Chakraborty
H. Kumar
Saibal Mukhopadhyay
75
1
0
10 Dec 2024
A dynamic vision sensor object recognition model based on trainable
  event-driven convolution and spiking attention mechanism
A dynamic vision sensor object recognition model based on trainable event-driven convolution and spiking attention mechanism
Peng Zheng
Qian Zhou
BDL
26
0
0
19 Sep 2024
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking
  Neural Networks for Energy-Efficient Edge Computing
Exploiting Heterogeneity in Timescales for Sparse Recurrent Spiking Neural Networks for Energy-Efficient Edge Computing
Biswadeep Chakraborty
Saibal Mukhopadhyay
24
2
0
08 Jul 2024
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language
  Models
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models
Rishav Mukherji
Mark Schöne
Khaleelulla Khan Nazeer
Christian Mayr
David Kappel
Anand Subramoney
29
1
0
01 May 2024
Topological Representations of Heterogeneous Learning Dynamics of
  Recurrent Spiking Neural Networks
Topological Representations of Heterogeneous Learning Dynamics of Recurrent Spiking Neural Networks
Biswadeep Chakraborty
Saibal Mukhopadhyay
19
3
0
19 Mar 2024
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object
  Detection
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Biswadeep Chakraborty
Xueyuan She
Saibal Mukhopadhyay
35
50
0
21 Apr 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
131
679
0
31 Jan 2021
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
175
1,018
0
06 Mar 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
R. Legenstein
Wolfgang Maass
111
477
0
26 Mar 2018
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