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Post-training Quantization for Neural Networks with Provable Guarantees
v1v2v3 (latest)

Post-training Quantization for Neural Networks with Provable Guarantees

SIAM Journal on Mathematics of Data Science (SIMODS), 2022
26 January 2022
Jinjie Zhang
Yixuan Zhou
Rayan Saab
    MQ
ArXiv (abs)PDFHTML

Papers citing "Post-training Quantization for Neural Networks with Provable Guarantees"

24 / 24 papers shown
A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
A Quantized VAE-MLP Botnet Detection Model: A Systematic Evaluation of Quantization-Aware Training and Post-Training Quantization Strategies
Hassan Wasswa
Hussein Abbass
Timothy Lynar
MQ
305
0
0
05 Nov 2025
Post-Training Quantization for Audio Diffusion Transformers
Post-Training Quantization for Audio Diffusion Transformers
Tanmay Khandelwal
Magdalena Fuentes
MQ
174
0
0
30 Sep 2025
The Hidden Costs of Translation Accuracy: Distillation, Quantization, and Environmental Impact
The Hidden Costs of Translation Accuracy: Distillation, Quantization, and Environmental Impact
Dhaathri Vijay
Anandaswarup Vadapalli
121
1
0
28 Sep 2025
Beacon: Post-Training Quantization with Integrated Grid Selection
Beacon: Post-Training Quantization with Integrated Grid Selection
Shihao Zhang
Rayan Saab
MQ
196
0
0
27 Aug 2025
Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos
Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos
Haoyu Zhang
Shihao Zhang
Ian Colbert
Rayan Saab
MQ
269
7
0
06 Aug 2025
SlotPi: Physics-informed Object-centric Reasoning Models
SlotPi: Physics-informed Object-centric Reasoning ModelsKnowledge Discovery and Data Mining (KDD), 2025
Jian Li
Wan Han
Ning Lin
Yu-Liang Zhan
Ruizhi Chengze
...
Yi-Feng Zhang
Hongsheng Liu
Zidong Wang
Fan Yu
Hao Sun
OCLLRMAI4CE
425
1
0
12 Jun 2025
Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization
Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization
Shihao Zhang
Haoyu Zhang
Ian Colbert
Rayan Saab
MQ
404
10
0
16 May 2025
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and DebriefingInternational Conference on Smart Computing (SMARTCOMP), 2025
Aditi Tiwari
Klara Nahrstedt
308
2
0
17 Mar 2025
Verification of Bit-Flip Attacks against Quantized Neural Networks
Verification of Bit-Flip Attacks against Quantized Neural Networks
Yedi Zhang
Lei Huang
Pengfei Gao
Fu Song
Jun Sun
Jin Song Dong
AAML
287
4
0
22 Feb 2025
Efficient Quantization-Aware Training on Segment Anything Model in
  Medical Images and Its Deployment
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment
Haisheng Lu
Yujie Fu
Fan Zhang
Le Zhang
MedImMQ
253
2
0
15 Dec 2024
Error Diffusion: Post Training Quantization with Block-Scaled Number
  Formats for Neural Networks
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks
Alireza Khodamoradi
K. Denolf
Eric Dellinger
MQ
291
1
0
15 Oct 2024
Accumulator-Aware Post-Training Quantization for Large Language Models
Accumulator-Aware Post-Training Quantization for Large Language Models
Ian Colbert
Giuseppe Franco
Fabian Grob
Jinjie Zhang
Rayan Saab
MQ
367
4
0
25 Sep 2024
MagR: Weight Magnitude Reduction for Enhancing Post-Training
  Quantization
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization
Aozhong Zhang
Naigang Wang
Yanxia Deng
Xin Li
Zi Yang
Penghang Yin
MQ
305
22
0
02 Jun 2024
Exploring Extreme Quantization in Spiking Language Models
Exploring Extreme Quantization in Spiking Language ModelsInternational Conference on Systems (ICONS), 2024
Malyaban Bal
Yi Jiang
Abhronil Sengupta
MQ
268
7
0
04 May 2024
Frame Quantization of Neural Networks
Frame Quantization of Neural Networks
Wojciech Czaja
Sanghoon Na
257
2
0
11 Apr 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
COMQ: A Backpropagation-Free Algorithm for Post-Training QuantizationIEEE Access (IEEE Access), 2024
Aozhong Zhang
Zi Yang
Naigang Wang
Yingyong Qin
Jack Xin
Xin Li
Penghang Yin
VLMMQ
261
14
0
11 Mar 2024
Quantized Distillation: Optimizing Driver Activity Recognition Models
  for Resource-Constrained Environments
Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained EnvironmentsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Calvin Tanama
Kunyu Peng
Zdravko Marinov
Rainer Stiefelhagen
Alina Roitberg
270
5
0
10 Nov 2023
Microscaling Data Formats for Deep Learning
Microscaling Data Formats for Deep Learning
B. Rouhani
Ritchie Zhao
Ankit More
Mathew Hall
Alireza Khodamoradi
...
Maxim Naumov
Colin Verilli
Ralph Wittig
Doug Burger
Eric S. Chung
MQ
612
147
0
16 Oct 2023
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network
  Quantization
SPFQ: A Stochastic Algorithm and Its Error Analysis for Neural Network Quantization
Jinjie Zhang
Rayan Saab
237
0
0
20 Sep 2023
Resource Efficient Neural Networks Using Hessian Based Pruning
Resource Efficient Neural Networks Using Hessian Based Pruning
J. Chong
Manas Gupta
Lihui Chen
280
6
0
12 Jun 2023
Rotation Invariant Quantization for Model Compression
Rotation Invariant Quantization for Model Compression
Dor-Joseph Kampeas
Yury Nahshan
Hanoch Kremer
Gil Lederman
Shira Zaloshinski
Zheng Li
E. Haleva
MQ
364
1
0
03 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning:
  Requirements, Paradigms, and Techniques
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and TechniquesApplied Informatics (AI), 2023
Wenbin Li
Hakim Hacid
Ebtesam Almazrouei
Merouane Debbah
385
24
0
16 Feb 2023
A simple approach for quantizing neural networks
A simple approach for quantizing neural networksApplied and Computational Harmonic Analysis (ACHA), 2022
J. Maly
Rayan Saab
MQ
247
14
0
07 Sep 2022
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
J. Matos
I. Bessa
Edoardo Manino
Xidan Song
Lucas C. Cordeiro
MQ
234
3
0
09 Jul 2022
1
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