Minimum Energy Quantized Neural Networks

Minimum Energy Quantized Neural Networks

1 November 2017

Koen Goetschalckx

Nick Van Berckelaer

Marian Verhelst

Papers citing "Minimum Energy Quantized Neural Networks"

18 / 18 papers shown

Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 53 0 0 04 Apr 2025
Tailor: Altering Skip Connections for Resource-Efficient Inference Olivia Weng Gabriel Marcano Vladimir Loncar Alireza Khodamoradi Nojan Sheybani Andres Meza F. Koushanfar K. Denolf Javier Mauricio Duarte Ryan Kastner 46 12 0 18 Jan 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 29 4 0 07 Nov 2022
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos Mathias Parger Chengcheng Tang Thomas Neff Christopher D. Twigg Cem Keskin Robert Y. Wang M. Steinberger 27 6 0 18 Oct 2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 23 27 0 19 Jul 2022
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT Mostafa Hussien K. Nguyen M. Cheriet 21 4 0 17 Mar 2022
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 19 23 0 15 Nov 2021
Accelerating Recurrent Neural Networks for Gravitational Wave Experiments Zhiqiang Que Erwei Wang Umar Marikar Eric A. Moreno J. Ngadiuba ... Vladimir Loncar S. Summers M. Pierini P. Cheung Wayne Luk 11 25 0 26 Jun 2021
Charged particle tracking via edge-classifying interaction networks G. Dezoort S. Thais Javier Mauricio Duarte Vesal Razavimaleki M. Atkinson I. Ojalvo Mark S. Neubauer P. Elmer 25 46 0 30 Mar 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 30 129 0 09 Mar 2021
VS-Quant: Per-vector Scaled Quantization for Accurate Low-Precision Neural Network Inference Steve Dai Rangharajan Venkatesan Haoxing Ren B. Zimmer W. Dally Brucek Khailany MQ 30 67 0 08 Feb 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics Y. Iiyama G. Cerminara Abhijay Gupta J. Kieseler Vladimir Loncar ... Miaoyuan Liu K. Pedro N. Tran E. Kreinar Zhenbin Wu 11 66 0 08 Aug 2020
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 32 175 0 15 Jun 2020
A Survey of Methods for Low-Power Deep Learning and Computer Vision Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal VLM 15 92 0 24 Mar 2020
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks Sébastien Henwood François Leduc-Primeau Yvon Savaria 28 10 0 23 Dec 2019
MorphIC: A 65-nm 738k-Synapse/mm $^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor with Stochastic Spike-Driven Online Learning Charlotte Frenkel J. Legat D. Bol 33 113 0 17 Apr 2019
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 29 231 0 13 Aug 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference Francesco Conti Pasquale Davide Schiavone Luca Benini 32 108 0 09 Jul 2018