Smoothing

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7 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-21

5 new papers

A weekly snapshot of new work published in Smoothing.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Smoothing.

103 papers

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  1. Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation

    Sep 17, 2026Sho Kawano, Zehang Richard Li, Paul A. ParkerArtificial Intelligence EvaluationConfidence Intervals

  2. FAHCD-Net: Frequency-Adaptive Heatmap-Conditional Diffusion Networks for Robust Facial Landmark Detection

    Sep 15, 2026Jun Wan, Jiwei Hu, Shengkai Hu +1One-Shot Medical Landmark DetectionBlind Face Restoration

  3. VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention

    Sep 14, 2026Xingyang Li, Dongyun Zou, Shining Zhang +8Dynamic Sparse AttentionPre-Trained Video Diffusion Models

  4. Projection-Free Multi-level Algorithms for Stochastic Constrained Compositional Optimization

    Sep 14, 2026Wei Jiang, Sifan Yang, Wenhao Yang +4Smoothing

  5. Unlabeled Echoes: Pseudo-Labels and Genus-Aware Smoothing for Bat Call Recognition

    Sep 14, 2026Frank Fundel, Alexandra HowardPassive Acoustic MonitoringPseudo-Labeling

  6. MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra

    Sep 8, 2026Balázs Csanád Csáji, Bálint HorváthNonparametricConfidence Intervals

  7. Structured Extrema Errors in Classical Surrogates for Viscous Burgers: A Physics-Consistent Interpretation

    Sep 7, 2026Youssef OubariSurrogate ModelsHigh-Fidelity Surrogates

  8. Clustered Randomized Smoothing for Stochastic Prediction Functions

    Aug 12, 2026Eduardo Figueiredo, Frederik Mathiesen, Julian Schumann +3SmoothingPredictive Uncertainty

  9. Hierarchical Empirical-Bayes Naive Bayes: Minimax Smoothing and Calibration with AODE Extension

    Aug 11, 2026Nguyen Thai Anh, Truong Viet Vu, Tran Thien Thanh +2BayesianEmpirical Risk Minimization

  10. LEED: Local Embedding Evolution Distance for over-smoothing estimation and virtual node selection in GNN

    Aug 10, 2026Killian Cressant, Pedro B. VellosoGraph Neural NetworksMultiple Centrality Measures

  11. Generalized Convexity and Smoothness via Conjugate Duality: Optimization Theory for Deep Neural Networks

    Aug 10, 2026Binchuan QiGradient DescentConvex Sets

  12. Conditional Diffusion for Nonparametric Instrumental Variable Quantile Regression

    Aug 8, 2026Xingdong Feng, Xinhong Jiang, Yuling Jiao +2Quantile RegressionSmoothing

  13. Staying True to the Origin: Continuous Image Stylization with Smooth Transitions

    Aug 8, 2026Rui Xu, Hanmo Zhang, Songhua LiuPhotorealistic Style TransferStylization

  14. Learning to Predict Contact Force Distributions from Vision Leveraging Object Geometry Priors

    Aug 1, 2026Ryo Hanai, Yukiyasu Domaea, Ixchel G. Ramirez-Alpizar +3Contact ForcesGeneralizable Robotic Manipulations

  15. Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks

    Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksRecurrent Neural Networks

  16. Inferring Missing Trajectory Data with Temporal Convolutional Networks

    Jul 27, 2026Ilinca Tiriblecea, Gabriel TuriniciTemporal Convolutional NetworksTrajectory Prediction

  17. Eviction as Estimation: A Fixed-Lag Smoothing View of Test-Time Memory, and When Measuring Beats Accumulating

    Jul 27, 2026Maruthi Vemula, Neeraj Praneeth GajulaWorking MemoryEviction

  18. XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space

    Jul 26, 2026Chengqi Li, Yangdi Lu, Zhihao Shi +3Noisy LabelsSemi-Supervised Learning

  19. Local Stability and Gaussian Smoothing of Quantized Neural Networks

    Jul 22, 2026Sergey Salishev, Anton Makarov, Oleg GranichinSmoothingNeural Network

  20. What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

    Jul 16, 2026Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3Stochastic Gradient DescentSmoothing

  21. Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing

    Jul 9, 2026Hyung-Jin Yoon, Hunmin KimModel Predictive Path IntegralLyapunov Function

  22. A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel

    Jul 7, 2026Arkaprabha Ganguli, Emil ConstantinescuNeural Tangent KernelRectified Linear Unit Networks

  23. Higher-Order Certified Robustness for Regression

    Jul 6, 2026Jie Zhang, Natalie FrankSmoothingNonparametric

  24. Boundary-layer asymptotics for Gaussian-smoothed singular measures

    Jul 5, 2026Nicolas Brosse, Arnak S. DalalyanRegularityRegularization Techniques

  25. Integrated Graph Search and Model Predictive Control for Smooth and Efficient Path Planning in Autonomous Vehicles

    Jul 5, 2026Duc-Tien Bui, Ngoc Thinh Nguyen, Hung Duy Nguyen +3Coverage Path PlanningVehicle Dynamics

  26. Smooth \%MinMax: A Differentiable Relaxation for Codon Harmonization

    Jul 4, 2026Yoonho Jeong, Hyunwoo Choi, Ryan Fernandez Medina Hariri +3Feature AlignmentFlat Minima

  27. Loss Smoothing for Stable Adaptation Under Distribution Shift

    Jul 1, 2026Darshan Patil, Ekaterina Lobacheva, Razvan Pascanu +1Parameter-Efficient AdaptationSmoothing

  28. Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization

    Jun 29, 2026Haoming Meng, Anton Sugolov, Vardan PapyanGradient FlowTransformer Layers

  29. FedLAS: Feature-Modulated Bidirectional Label Smoothing for Neural Network Calibration

    Jun 26, 2026Thiru Thillai Nadarasar Bahavan, Sachith Seneviratne, Saman HalgamugeSmoothingBidirectional Long Short-Term Memory

  30. Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces

    Jun 26, 2026Joyanta Jyoti Mondal, Ibne Farabi Shihab, Anuj SharmaLinear Contextual BanditsMulti-Armed Bandits

  31. Halt Fast! Early Stopping for Certified Robustness

    Jun 26, 2026Andrew C. Cullen, Paul Montague, Benjamin I. P. RubinsteinSmoothingEarly Stopping

  32. Noise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction

    Jun 23, 2026Yuexi Gu, Mengqi Wu, Yongheng Sun +3SpeckleUltrasound

  33. BLENDS: Bayesian Learning-Enhanced Deep Smoothing for GNSS-Denied Environments

    Jun 21, 2026Nadav Cohen, Itzik KleinGlobal Navigation Satellite SystemSmoothing

  34. Smoothness-Based Derandomization of PAC-Bayes Bounds

    Jun 17, 2026Alexandre Lemire Paquin, Brahim Chaib-Draa, Philippe GiguèreGeneralization BoundsSmoothing

  35. Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts

    Jun 17, 2026Tho Tran Huu, Huu-Tuan Nguyen, Thien-Hai Nguyen +4Mixture-of-Experts ModelsSmoothing

  36. LAGO Policy: Latency-Aware Asynchronous Diffusion Policies with Goal-Directed Collision-Free Planning for Smooth Manipulation

    Jun 16, 2026Guowei Shi, Xupeng Xie, Yiming Luo +3Visuomotor PolicyCollision-Free Trajectories

  37. Smoothing Dark Areas in Molecular Latent Diffusion

    Jun 11, 2026Xi Wang, Jiahan Li, Yuxuan Xia +3Molecular GenerationVariational Autoencoder

  38. Redesigning Regularization for Effective Policy Smoothing

    Jun 11, 2026Taisuke Kobayashi, Naoto YamanakaSmoothingRegularization Techniques

  39. The Hidden Power of Scaling Factor in LoRA Optimization

    Jun 11, 2026Zicheng Zhang, Haoran Li, Jiaxing Wang +10Low-Rank AdaptationLearning Rates

  40. Dirichlet-Guided Group Forecasting for Alleviating Over-smoothing in Time Series Forecasting

    Jun 9, 2026Xingyu Zhang, Jingyao Wang, Xin Yu +4SmoothingGroup

  41. SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths

    Jun 8, 2026Timo Heiß, Julia Herbinger, Bernd Bischl +1Surrogate PerformanceLogistic Regression

  42. Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations

    Jun 4, 2026Yizhe Ding, Runze Li, Jia Liu +1Rectified Linear Unit NetworksActivation Functions

  43. Representation Matters in Randomized Smoothing for Audio Classification

    Jun 2, 2026Jong-Ik Park, Shreyas Chaudhari, José M. F. Moura +1SmoothingNormalization

  44. RRISE: Robust Radius Inference via a Surrogate Estimator

    Jun 1, 2026Jong-Ik Park, Shreyas Chaudhari, Carlee Joe-Wong +1SmoothingSurrogate Performance

  45. Near-Optimal Machine Unlearning Utility for Smooth Strongly Convex Losses

    Jun 1, 2026Matthew Regehr, Gautam Kamath, Andrew LowyMachine UnlearningSeveral Approximate Unlearning Strategies

  46. Improved Guarantees for Langevin Monte Carlo with Average Smoothness

    May 29, 2026Arnak S. Dalalyan, Avetik KaragulyanLangevin DynamicsNon-Log-Concave

  47. Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks

    May 29, 2026Yunfei Yang, Jun FanLogarithmic Sobolev InequalitiesNeural-Network Approximation

  48. Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

    May 28, 2026Sharan Vaswani, Yifan Sun, Reza BabanezhadGradient DescentAdam

  49. Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing

    May 28, 2026Leyi Qi, Yiming Li, Siyuan Liang +2Text-To-Image Diffusion ModelsWatermarks

  50. FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation

    May 28, 2026Zehao Wang, Guanglei Yang, Yihan Zeng +4Low-Rank AdaptationFederated Learning

  51. Natural Functional Gradients for Smooth Trajectory Optimization

    May 27, 2026Kisang Park, Chanwoo Kim, Kyungjae Lee +1Trajectory OptimizationSmoothing

  52. Probabilistic Smoothing with Ratio-Monotone Transforms for Global Optimization

    May 26, 2026Kukyoung Jang, Taehyun Cho, Junrui Zhang +2SmoothingKernel Method

  53. Geometry Adaptive Counterfactual Distribution Learning with Diffusion-Guided Smoothing

    May 25, 2026Kwangho KimConformal InferenceCausal Inferences

  54. Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics

    May 21, 2026Romil V. Sonigra, P. R. KumarLatent DynamicsLatent World Models

  55. Spectral bandits for smooth graph functions with applications in recommender systems

    May 19, 2026Tomáš Kocák, Michal Valko, Rémi Munos +2Large-Scale Recommendation SystemsRecommender Systems

  56. A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models

    May 15, 2026Ningyuan Yang, Yize Li, Diego A. Cuji +4Generative Super-ResolutionAutoregressive Diffusion

  57. Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing

    May 15, 2026Zeji Yi, Chaoyi Pan, Guanya Shi +1Convergence AnalysisSmoothing

  58. GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective

    May 15, 2026Xu Wang, Xunkai Li, Yinlin Zhu +2Multimodal AlignmentModality-Specific Encoders

  59. Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification

    May 15, 2026Daniel Brignac, Fengwei Tian, Banafsheh Latibari +2Synthetic Aperture RadarDense Semantic Segmentation

  60. Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise

    May 14, 2026Antesh Upadhyay, Arda Fazla, Abolfazl HashemiStochastic Smooth Convex OptimizationConvex Optimization