Quantization Sensitivity Analysis

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24 papers5 papers in the last four weeks, down 17% on the four weeks before. 0.0% of all new papers.

  1. SMART-AIMC: Sensitivity-Aware Mixed ADC Resolution with Fine-Grained Tunability for Analog In-Memory Computing

    Nov 1, 2026Yung-Chin Chen, Ourania Stouraiti, Naveen VermaCompute-in-MemoryEnergy-Efficient ML

    Princeton University, NJ, USA. · EnCharge AI, CA, USA.

  2. Sensitivity Inflation from Cross-Record Precision Routing in Private Quantized Fine-Tuning

    Nov 1, 2026Annan Zhang, Shengjie Song, Wenshuai Yao +2Privacy-Preserving MLPrivacy-Preserving Language Models

    Peking University · Beihang University

  3. When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders

    Oct 19, 2026Hyojung Han, Ryangkyung Kang, Youngeun Kim +1Post-Training QuantizationNeural Network Quantization

    ThakiCloud · Korea University

  4. Task-Phase-Conditioned Expert Routing Is Not a Reliable Proxy for Quantization Sensitivity in MoE FFN Tensors

    Oct 14, 2026Yifan LiuQuantization Sensitivity AnalysisMixture-of-Experts Quantization

    UIUC MCS Student

  5. Q-PACE: Dynamic Precision Allocation for Quantization-Aware Training

    Oct 6, 2026Alexandra Volkova, Matin Ansaripour, Erik Schultheis +2LLM QuantizationQuantization-Aware Training

    ISTA · EPFL, ISTA

  6. Scale Sensitivity in Low-Bit Post-Training Quantization: Curvature of the Quantization Error Landscape

    Sep 29, 2026Jonas von Berg, Massimiliano Datres, Carlo Kneißl +1Post-Training QuantizationNeural Network Quantization

    Ludwig-Maximilians-Universität München Munich Center for Machine Learning (MCML) Konrad Zuse School of Excellence in Reliable AI (DAAD) · University of Tromso, DLR-German Aerospace Center

  7. Quantization Error Is Spectrally Flat: A Single Random Probe Is a Calibrated, Data-Free Sensitivity Estimator, with Application to Budget-Targeted Mixed-Precision Quantization

    Sep 27, 2026I Kennedy, T KennedyMixed-Precision QuantizationLLM Quantization

    baa.ai Auckland, New Zealand

  8. RAMP: Robust Adaptive Mixed-Precision Quantization for Edge CPU Vision Models

    Sep 23, 2026David Población-Criado, Dario Garcia-Gasulla, Eduardo QuinonesMixed-Precision QuantizationEdge Inference

    Barcelona Supercomputing Center (BSC) · Universitat Politècnica de Catalunya - BarcelonaTech (UPC)

  9. Beyond Scalar Sensitivity: Activation-Aware Mixed-Precision LLM Quantization with Cross-Layer Refinement

    Sep 22, 2026Akihiro Yoshida, Yuma IchikawaMixed-Precision QuantizationLLM Quantization

    Fujitsu Limited, Institute of Science Tokyo · Fujitsu Limited, RIKEN Center for AIP

  10. The Undetected Damage of Quantization on Retrieval and How to Fix It

    Sep 21, 2026Luca Zhou, Alessandro Zirilli, Daniele Solombrino +2Mixed-Precision QuantizationInformation Retrieval

    Sapienza University of Rome · Not Diamond · Paradigma

  11. Efficient AI Model Deployment Using Quantization Analysis Tool

    Sep 14, 2026Dwith Chenna, Kanishka MacherlaEfficient Neural Network InferenceQuantization Sensitivity Analysis

    Electrical and Computer Engineering Department University of Maryland College Park, MD, USA

  12. A Layer Importance Metric for Quantization Accounting for the Speed-Quality Trade-off in Autoregressive Models

    Aug 27, 2026Artem SafronovQuantization Sensitivity AnalysisNeural Network Quantization

  13. Which Decisions Low-Bit Quantization Breaks, and How to Predict Them

    Aug 6, 2026Zekun Wu, Swati Dhiman, Adriano KoshiyamaPost-Training QuantizationLow-Bit Quantization

    Holistic AI · UCL Centre for Artificial Intelligence, University College London

  14. MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference

    Jul 20, 2026Simla Burcu Harma, Danila Mishin, Zhengyuan Su +7Mixed-Precision QuantizationLLM Quantization

    EcoCloud, EPFL · Tsinghua University · MangoBoost Inc. +2

  15. Saturation Makes Quantization Error Additive: A Coverage Model with a Certificate

    Jul 14, 2026Joshua HillMixed-Precision QuantizationLLM Quantization

    Baseten Labs, Inc. · David R. Cheriton School of Computer Science, University of Waterloo

  16. The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs

    Jul 9, 2026Baha Rababah, Cuneyt Gurcan Akcora, Carson K. LeungLLM EvaluationQuantization Sensitivity Analysis

    Department of Computer Science, University of Manitoba, Canada · AI Initiative, University of Central Florida, USA

  17. Boundary-Aware Quantization: Finite-Scale Decision Geometry of Neural Classifiers

    Jul 1, 2026O. M. KiselevWeight-Only QuantizationPost-Training Quantization

    Innopolis University, Innopolis, Republic of Tatarstan, Russian Federation

  18. Beyond Activation Alignment:The Alignment-Diversity Tradeoff in Task-Aware LLM Quantization

    Jul 1, 2026Fei Wang, Chao Xue, Taoran Liu +3Mixed-Precision QuantizationLLM Quantization

    South China University of Technology · Ocean University of China · Shenzhen Campus of Sun Yat-sen University +1

  19. Spectral Perturbation of the Empirical Fisher Information Matrix under Weight Quantization

    Jun 26, 2026Rahid Zahid Alekberli, Hikmat KarimovInformation GeometryWeight-Only Quantization

    Institute of Defense Technologies and Cybersecurity, Azerbaijan Technical University, Baku, Azerbaijan

  20. Quantizing Time-Series Models As Dynamical Systems: Trajectory-Based Quantization Sensitivity Score

    Jun 11, 2026Mariya Pavlova, Harrison Bo Hua Zhu, Lidia Vitanova +2Mixed-Precision QuantizationTime Series Modeling

    Department of Computing, Imperial College London, London, United Kingdom · Department of Public Health, University of Copenhagen, Copenhagen, Denmark · GATE Institute, Sofia University St. Kliment Ohridski, Sofia, Bulgaria +1

  21. A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models

    Apr 15, 2026Jason Kong, Nilesh Prasad Pandey, Flavio Ponzina +1Quantization Sensitivity AnalysisLLM Quantization

  22. Quantization Robustness of Monotone Operator Equilibrium Networks

    Mar 11, 2026James Li, Philip H. W. Leong, Thomas ChaffeyQuantization RobustnessNeural Network Quantization

    School of Electrical and Computer Engineering, The University of Sydney, NSW, Australia

  23. Diagnosing FP4 inference: a layer-wise and block-wise sensitivity analysis of NVFP4 and MXFP4

    Mar 5, 2026Musa Cim, Burak Topcu, Mahmut Taylan KandemirQuantization Sensitivity AnalysisLLM Quantization

    Department of Computer Science and Engineering The Pennsylvania State University University Park, PA, USA

  24. Activation Sensitivity as a Unifying Principle for Post-Training Quantization

    Jan 15, 2026Bruce Changlong XuLLM QuantizationPost-Training Quantization