Gaussian Noise

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Period ending 2026-09-21

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  1. Task-Oriented Semantic Feature Transmission for Multi-Task Satellite Remote Sensing over Low-SNR Channels

    Sep 17, 2026Shuoyuan Sun, Hongyu Wang, Mugen Peng +1Remote SensingSatellite Data

  2. Spatially Adaptive Noise Injection

    Sep 16, 2026Frantzeska Lavda, Maciej Falkiewicz, Van Khoa Nguyen +1Diffusion SamplingImage Denoising

  3. Noise2Noise Revisited: Training Pair Distributions Dominate Loss Choice in Self-Supervised Denoising

    Sep 15, 2026Dingyan Shang, Zhenyu Xu, Youting Wang +2Noise-AwareLoss Function

  4. Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference

    Sep 14, 2026Niklas Summ, Xiao Wang, Hendrik Borras +2Graph Neural Network InferenceNoise-Aware

  5. DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning

    Sep 14, 2026Wenrui Xu, Anas Enanaa, Keshab K. ParhiInterictal Epileptiform DischargesRepresentation Learning

  6. Almost Sure Convergence Analysis of Stochastic Gradient Methods with Clipping and Additive Noise

    Sep 10, 2026Amartya Mukherjee, Jun LiuStochastic Gradient DescentGradient Clipping

  7. When Noise Fabricates Bias: The Fragility of LLM-as-a-Judge Bias Measurement under Noisy Text

    Sep 10, 2026DongHyun Ryu, Jaehyeok Lee, YeongJun Hwang +1Large Language Model BiasImplicit Bias

  8. NOPE-HYPE: A Structured Simulation Workflow for Robust Speech-to-Text Across Diverse Acoustic Environments

    Sep 9, 2026Niramay M. Patel, Bibek Behera, Raksha SharmaNoise-AwareHyperparameter Optimization

  9. Optimal estimation for Functional Linear Regression with Noisy Discretized Data

    Sep 8, 2026Sixtine SphabmixayEstimatorsCovariate Shift

  10. KBBQ: A Predictive Noise Law and the Limits of Spectrum Flattening in FP4 Quantization

    Sep 8, 2026Lexington Whalen, Yuki Ito, Ryo SakamotoW4A4 QuantizationQuantizer

  11. RFS-UNet: Decoder-Conditioned High-Resolution Skip Recalibration for Bone-Selective DRR Synthesis

    Sep 7, 2026Xiaoyang Li, Yixuan Liu, Yuan ChaiRecalibrationChest Radiography

  12. Poisson Image Denoising Using Minimax Concave and Reweighted \ell_1 Penalties: Nonblind and Blind Approaches

    Sep 7, 2026Reza ParvazImage RestorationImage Denoising

  13. Constrained Online Learning with Noisy Constraint Values

    Sep 7, 2026Vaneet AggarwalConvex OptimizationLearning-Augmented Algorithms

  14. Can Scene Text Recognition Read Rare Compositions?

    Sep 1, 2026Genpei ZhangScene Text RecognitionWord Error Rate

  15. PLC-DPO: Posterior Label Correction in Noisy and Ambiguous Preference Optimization

    Aug 31, 2026Boryeong Cho, Sumyeong Ahn, Se-Young YunDirect Preference OptimizationRobust Preference Optimization

  16. Fidelity-Constrained Anchoring for Black-Box Denoisers

    Aug 13, 2026Masaki SatohImage DenoisingGaussian Noise

  17. Sparse and robust geometric twin support vector machine via asymmetric RoBoSS loss function

    Aug 12, 2026Kai Qi, Xinji Huang, Hongchun WangSupport Vector MachinesRegularization Techniques

  18. Link-adaptive digital twin for robust physical-layer modeling in hybrid-amplified ultra-wideband optical networks

    Aug 11, 2026Xiaoxuan Gao, Rentao Gu, Yingchun Wang +3Ultra-WidebandSignal-To-Noise Ratio

  19. Detecting an Effect Is Not Learning to Act on It: A Reward-SNR Floor for LLM Acquisition Agents

    Aug 11, 2026Ying YuanLarge Language Model AgentsSignal-To-Noise Ratio

  20. Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice

    Aug 10, 2026Reyhaneh Abbasi, Peter Balazs, Vincent Lostanlen +4Passive Acoustic MonitoringAcoustic Representation

  21. MaxModShift: Model Privacy via Designed Shifts

    Aug 10, 2026Nomaan A. Kherani, Urbashi MitraFederated LearningInformation-Theoretic Limits

  22. MRI super-resolution in ten sampling steps using a diffusion bridge model

    Aug 9, 2026Mojtaba Safari, Hang Yu, Zach Eidex +10Magnetic Resonance ImagingSignal-To-Noise Ratio

  23. Optimal Learning Under Tsybakov Noise

    Aug 9, 2026Steve Hanneke, Hongao Wang, Mingyue XuOptimal Sample ComplexityLearning-Augmented Algorithms

  24. RIS-Aided mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting

    Aug 7, 2026Md Tarek Hassan, Dmitry Zelenchuk, Muhammad Ali Babar AbbasiMillimeter WaveReconfigurable Intelligent Surfaces

  25. Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification

    Aug 6, 2026Lisai Zhang, Yidi Wu, Qi Liu +7Co-DirectorNoise-Aware

  26. A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

    Aug 5, 2026Shengkun Yang, Luca Ratti, Zhichang GuoImage RestorationGaussian Noise

  27. Stop Replacing Noise with Noise: Two-Source Reliability Assessment for Label Correction and Sample Reweighting in Label-Noise Learning

    Aug 4, 2026Wenxiao Fan, Kan LiNoisy LabelsNoise-Aware

  28. Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models

    Aug 4, 2026Lele Zheng, Weifeng Kong, Xinyi Zhang +3Continual Fine-TuningDifferential Privacy

  29. Why Large Language Models Fail at Tabular Prediction

    Aug 3, 2026Marta Garnelo, Wojciech M. CzarneckiLarge Language Model PerformanceTabular Data

  30. Upper-Expectile Multi-Step Q-Learning for Off-Policy Reinforcement Learning

    Aug 3, 2026Abdelghani Ghanem, Mounir GhoghoQ-LearningOff-Policy Evaluation

  31. Practical Noise Modeling for SPAD Intensity Imaging

    Aug 1, 2026Wendi Liu, Yujie Lu, Zengxi Zhang +3Single-Photon Avalanche DiodeImage Processing

  32. Toward Robust and 3D-Aware RGB-NIR Imaging in the Dark

    Jul 31, 2026Muyao Niu, Mingze Ma, Yifan Zhan +5Low-Light ImagesInfrared

  33. Dynamics-aware identification of governing equations from sparse and noisy data

    Jul 31, 2026Pongpisit Thanasutives, Yoshinobu KawaharaSystem IdentificationPartial Differential Equations

  34. The Noise Premium in Adversarial Training for Kernel Regression

    Jul 30, 2026Yiling Xie, Xiaoming HuoKernel Ridge RegressionAdversarial Training

  35. Orca: Neural Operators for Causal Reasoning in Continuous Time

    Jul 30, 2026Gerrit Großmann, David A. Selby, Sebastian J. VollmerStructural Causal ModelNeural Operators

  36. Improving the Robustness/Accuracy Tradeoff Against Adversarial Attacks Using Information Bottleneck Distillation Through Dual Teachers

    Jul 30, 2026Vincent Ryusuke Takahashi, Yoshinari Takeishi, Jun'ichi Takeuchi +1Adversarial TransferabilityMulti-Teacher Distillation

  37. BlindPSNR: A No-Reference Fidelity Predictor for Low-Light Image Enhancement

    Jul 30, 2026Mingzhe Lyu, Jinqiang Cui, Hong ZhangLow-Light Image EnhancementImage Quality Assessment

  38. Neural Network-Assisted CLEAN for Channel Modeling in Low-SNR Regimes

    Jul 29, 2026Chaofan Deng, Linyu Sun, Jaeho Lee +1Joint Channel EstimationChannel Modeling

  39. On the robustness of noisy solutions in non-convex neural networks

    Jul 29, 2026Enrico M. Malatesta, Alessandra Passalacqua, Riccardo ZecchinaLoss LandscapeParallel Liquid-Inspired Temporal Relaxation

  40. From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios

    Jul 28, 2026Athanasios Vlontzos, Giorgos Papanastasiou, Bernhard Kainz +1Model SensitivityCausal Reasoning

  41. Robust Conformalized Selection with Noisy Responses

    Jul 25, 2026Chengyao Yu, Hongxin Wei, Bingyi JingFalse Discovery RateConformal Calibration

  42. Spectral Prior for Reducing Exposure Bias in Diffusion Models

    Jul 24, 2026Yuya Kobayashi, Masato Ishii, Yuhta Takida +2Latent Diffusion ModelSignal-To-Noise Ratio

  43. Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction

    Jul 22, 2026Yi Peng, Haiquan Zhao, Jinhui HuMultivariate ForecastingNoise-Aware

  44. γ-Bridge: A Look-Parametric Diffusion Bridge

    Jul 21, 2026Xuran Hu, Yujie Zhu, Tengxi Wang +2Denoising Diffusion Probabilistic ModelGaussian Noise

  45. Strong Gravitational Lensing Posterior Sampling in Pixel-Space Using Diffusion Models and Recurrent Inference Machines

    Jul 21, 2026Guillaume Payeur, Laurence Perreault-Levasseur, Gabriel Missael Barco +1Posterior SamplingCosmology

  46. Provable diffusion-based posterior sampling for linear inverse problems via DDIM

    Jul 21, 2026Yuchen Jiao, Na Li, Changxiao Cai +2Ill-Posed Inverse ProblemPosterior Sampling

  47. Parallel Noising in Neural Markov Logic Networks

    Jul 21, 2026Peter Jung, Giuseppe Marra, Ondrej KuzelkaGraph Neural NetworksParallel

  48. Co-addition and Subtraction of Undersampled Images

    Jul 20, 2026Matan Schlanger, Barak ZackayPhase-Folded Light CurvesSubsampling

  49. The Value of Depth in Message Passing on Sparse Graphs: A Kesten-Stigum Dichotomy

    Jul 18, 2026Aseem Raj BaranwalMessage Passing Neural NetworksSearch Depth

  50. Test-Time Noise Guided Adaptation for Realistic Autoregressive Video Generation

    Jul 17, 2026Dimitrios Karageorgiou, Symeon Papadopoulos, Ioannis Kompatsiaris +1Autoregressive Video DiffusionAutoregressive Video Generation

  51. Interleaved Noise Injection Improves Clean, Corrupted, and OOD Performance

    Jul 16, 2026Matt L. Wiemann, Peter Melchior, Andrew K. SaydjariGaussian NoiseRegularization Techniques

  52. A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning

    Jul 15, 2026Yang Liu, Yuhao Liu, Yunran WeiEntropy Regularized Reinforcement LearningNoise-Aware

  53. A VAE-Driven Multi-Task Satellite-Aided Semantic Communication Framework for 6G-Enabled Connected Autonomous Vehicles

    Jul 15, 2026S. M. Abtahiul Alam, Niloy Das, Apurba Adhikary +3Semantic CommunicationsAutonomous Driving

  54. Robust Design of Integrated Sensing and Communication in LEO Satellite Systems

    Jul 14, 2026Hezhen Yang, Xiaoming Chen, Qi WangIntegrated Sensing And CommunicationSatellite

  55. Decentralized Gradient Descent: Bottleneck Regimes and Budget Complexity

    Jul 13, 2026Nicolò MichelusiLow-Data RegimesToken Budgets

  56. Active Noise Floor Estimation for Reliability-Optimal POMDPs: A Value-of-Noise-Information Approach

    Jul 13, 2026Hyung-Jin YoonNoisy DataPartially Observable Markov Decision Process

  57. Design Choices in Splitting-Based Self-Supervised Sparse-View CT Reconstruction

    Jul 12, 2026Nadja Gruber, Lukas Neumann, Ander Biguri +3PartitioningGaussian Noise

  58. Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data

    Jul 9, 2026Chaewon Lee, Seon-Ho Lee, Chang-Su KimNoisy LabelsNoisy Data

  59. From Noisy Traces to Root Causes: Structural Trajectory Analysis and Causal Extraction for Agent Optimization

    Jul 8, 2026Ying Chang, Jiahang Xu, Xuan Feng +3Agentic OptimizationRoot Cause Analysis

  60. Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion

    Jul 8, 2026Yongseong Park, Joeun Kim, HoEun Kim +1Inverse DesignGaussian Noise