Reparameterization

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Period ending 2026-09-14

1 new paper

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Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Reparameterization.

52 papers

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  1. Kolmogorov--Arnold stability for discontinuous functions

    Sep 7, 2026Sviatoslav V. DzhenzherKolmogorov-Arnold NetworksReparameterization

  2. When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation

    Aug 13, 2026Shuhan Wang, Yilin Luo, Nan Xu +1Post-Training QuantizationRotation

  3. Predicting When Random Low-Dimensional Reparameterizations Train Neural Networks

    Aug 12, 2026Andrew Cheng, Ali Eslamian, Jie Cheng +2ReparameterizationCurvature Prediction Quality

  4. Iterative Erasure Count Is Not an Affine-Invariant Concept Dimension

    Aug 11, 2026Tingan Jin, Shuhang Dong, Haosong Li +1Intrinsic DimensionalityConcept Erasure

  5. Establishing Boundary KKT Convergence of Mirror Descent through Reparameterization

    Aug 7, 2026Kuangyu Ding, Kim-Chuan TohMirror DescentOptimization Convergence Analysis

  6. URNet: A Unified Reparameterized Network for Efficient RGB-D Semantic Segmentation

    Aug 6, 2026Guoan Xu, Zhengxue Wang, Yang Xiao +3U-NetCross-Modal Fusion

  7. Low-Dimensional High-Leverage Subspace Optimization: Beyond Full-Parameter Coupled Training for Neural Network Quantization

    Aug 4, 2026Peng Xia, Junbiao Pang, Zheng HuangPost-Training QuantizationMixed-Precision Quantization

  8. Smooth Reparameterizations of Functions on Simplicial Product Spaces: Applications to Probabilistic Tensor Decomposition and Functional Data Registration

    Aug 3, 2026Shashwat Kumar, Arafat Rahman, Anuj Srivastava +1ReparameterizationLow-Rank Tensor Decomposition

  9. Output-Aware Rotation for INT2 KV-Cache Quantization

    Aug 3, 2026Vincent-Daniel Yun, Woosang Lim, Minsoo Cheong +4Key-Value Cache QuantizationKv-Cache Steering

  10. Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

    Aug 3, 2026Zhaotian Gu, Jie Su, Weiwei Wang +3Neural DynamicsNormalization

  11. ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection

    Aug 3, 2026Camile Lendering, Erkut Akdag, Joaquín Figueira +1Unsupervised Anomaly DetectionGraph Anomaly Detection

  12. Sphere Retraction Normalizations

    Aug 2, 2026Jie Zhang, Cheng-Fang Su, Yi-Jui Huang +1Residual ConnectionsNormalization

  13. Thermodynamics-Informed Input Reparameterization for Neural Prediction of Real-Fluid Thermodynamic Properties in Supercritical Combustion

    Jul 21, 2026Haoze Zhang, Han Li, Ke Xiao +3ThermodynamicsTurbofan Engines

  14. Muse: Representation Geometry of Muon Beyond Normalized Momentum

    Jul 16, 2026Da Chang, Qiankun Shi, Lvgang Zhang +4MuonRepresentation Space

  15. Overcoming Fourier Locking in Quantum Data Re-uploading Classifiers via Spectral Homotopy

    Jul 13, 2026Spencer TopelQuantum CircuitsQuantum

  16. Learning in Curved Weight Space:Exponential-Linear Weight Reparameterization for Improved Optimization

    Jul 10, 2026Ethan SmithWeight-SpaceReparameterization

  17. QCNN with Rough Path Signature Kernels

    Jul 8, 2026Leonardo Nogueira Falabella, Vasily SazonovQuantum Neural NetworksReparameterization

  18. ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning

    Jul 2, 2026Yilie Huang, Wenpin Tang, Xun Yu ZhouDiffusion SamplingTimestep

  19. Group-Equivariant Poincaré Convolutional Networks

    Jul 1, 2026Aiden Durrant, Rahul Baburajan, Georgios LeontidisExact EquivarianceReparameterization

  20. Factorizable Normalizing Flows for parameter-dependent density morphing

    Jun 29, 2026Davide Valsecchi, Mauro Donegà, Rainer WallnyNormalizing FlowsReparameterization

  21. FiRe: Frequency Reparameterization as a Preconditioner for Periodic Implicit Neural Representations

    Jun 28, 2026Harinandan Shukla, Rajarshi Verma, Jitin SinglaImplicit Neural RepresentationsReparameterization

  22. Muown Implicitly Performs Angular Step-size Decay

    Jun 22, 2026Florian Hübler, Kai Lion, Antonio Orvieto +1MuonReparameterization

  23. Tensor Train Decomposition-based 3D Implicit Full Waveform Inversion with Multi-scale Structural Similarity

    Jun 22, 2026Liangsheng He, Chao Song, Tiansheng Chen +2Discrete Wavelet TransformSeismic Interpretation

  24. Fisher-Geometric Sharpness and the Implicit Bias of SGD toward Flat Minima

    Jun 18, 2026Md Sakir Ahmed, Kumaresh Sarmah, Hemen DuttaFlat MinimaStochastic Gradient Descent

  25. Task-Restricted Symmetries in Recurrent Weight Space

    Jun 16, 2026Simon DrägerRecurrent Neural NetworksWeight-Space

  26. RepNN: Tackling spectral bias in deep neural networks via parameter reparameterization

    Jun 15, 2026Yong Wang, Tao Zhou, Xuhui MengDeep Neural NetworkReparameterization

  27. nD-RoPE: A Generalized RoPE for n-Dimensional Position Embedding

    Jun 10, 2026Boyang Li, Yulin Wu, Sizhe Xu +5Rotary Position EmbeddingDiscrete Wavelet Transform

  28. Continuous Neural Reparameterization as a Deep Geometric Prior for Robust Fixed-Chart UV Repair

    Jun 8, 2026Mohammad Sadegh SalehiReparameterizationDeep Unfolding Networks

  29. Jacobi-Anger Method for Deterministic Initialization in Implicit Neural Representation

    Jun 4, 2026Mohammed Alsakabi, Kejia Hu, John M. Dolan +1Implicit Neural RepresentationsReparameterization

  30. Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks

    Jun 3, 2026Bin Duan, Zeyu Bai, Guowei YangModel-Agnostic DefenseBlack-Box Adversarial Attacks

  31. Knowledge-Preserved Model Tuning in Null-Space for Robust Spatio-Temporal Video Grounding

    Jun 2, 2026Haoxuan Chen, Xianqin Liu, Jian-Fang HuVideo Temporal GroundingSelf-Supervised Vision Transformers

  32. Self-Regulating Annealing in Heavy-Tailed Diffusion Models

    Jun 1, 2026Keito Wakatsuki, Hideaki ShimazakiSamplersHeavy-Tailed Noise

  33. Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models

    May 26, 2026Mingze Wang, Shuchen Zhu, Yuxin Fang +3Large Language Model ScaleBatch Normalization

  34. Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate

    May 24, 2026Huangyu Xu, Jingqin Yang, Qianqian Xu +1SparsityRegularization Methods

  35. Aligned Training: A Parameter-Free Method to Improve Feature Quality and Stability of Sparse Autoencoders (SAE)

    May 18, 2026Michał Brzozowski, Neo Christopher ChungSparse AutoencodersFeature Learning

  36. Continuous Diffusion Scales Competitively with Discrete Diffusion for Language

    May 18, 2026Zhihan Yang, Wei Guo, Shuibai Zhang +5Diffusion Language ModelsDiffusion Models

  37. The Symmetries of Three-Layer ReLU Networks

    May 18, 2026Johanna Marie Gegenfurtner, Moritz Grillo, Guido MontúfarRectified Linear Unit NetworksSymmetry

  38. Don't Stop Me Yet: Sampling Loss Minima via Dissipative Riemannian Mechanics

    May 14, 2026Albert Kjøller Jacobsen, Leo Uhre Jakobsen, Johanna Marie Gegenfurtner +1ReparameterizationFlat Minima

  39. Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel

    May 14, 2026Ruihua Chen, Yisi Luo, Bangyu Wu +2Neural Tangent KernelWave

  40. The Diffusion Encoder

    May 13, 2026Akhil Premkumar, Sarah LucioniDiffusion ModelsReparameterization

  41. Principled Design of Diffusion-based Optimizers for Inverse Problems

    May 12, 2026Julio Oscanoa, Irmak Sivgin, Cagan Alkan +4Diffusion ModelsScore-Based Diffusion Model

  42. NoRIN: Backbone-Adaptive Reversible Normalization for Time-Series Forecasting

    May 11, 2026Shun Zhang, Yuyang XiaoNormalizationReparameterization

  43. Revisiting Mixture Policies in Entropy-Regularized Actor-Critic

    May 9, 2026Jiamin He, Samuel Neumann, Jincheng Mei +2Soft Actor-CriticKullback-Leibler Regularization

  44. DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization

    May 9, 2026Ao Li, Xiaoning Liu, Sheng Li +5Image RestorationDiscrete Wavelet Transform

  45. Beyond Rigid Geometries: The Spline-Pullback Metric for Universal Diffeomorphic SPD Representation Learning

    May 6, 2026Tushar Das, Subrata Dutta, Sarmistha Neogy +1B-SplineSpectral Algorithms

  46. Most ReLU Networks Admit Identifiable Parameters

    May 5, 2026Moritz Grillo, Guido MontúfarRectified Linear Unit NetworksReparameterization

  47. The Role of Symmetry in Optimizing Overparameterized Networks

    Apr 28, 2026Kusha Sareen, Mohammad Pedramfar, Sékou-Oumar Kaba +2Over-Parameterized Neural NetworksNeural Network Optimization

  48. Adaptive-Distribution Randomized Neural Networks for PDEs: A Low-Dimensional Distribution-Learning Framework

    Apr 27, 2026You Yang, Fei WangNeural Partial Differential Equation SolversPartial Differential Equations

  49. Reparameterization through Coverings and Topological Weight Priors

    Apr 26, 2026Maxim Beketov, Pavel SnopovVariational EncoderTopological Learning

  50. MedMamba: Recasting Mamba for Medical Time Series Classification

    Apr 17, 2026ZhengXiao He, Huayu Li, Xiwen Chen +4Time-Series ClassificationMamba-Based Models

  51. SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation

    Mar 22, 2026Wen Jiang, Kangyao Huang, Li Wang +9Aerial Vision-Language NavigationRich Spatial Priors

  52. Conditional Clifford-Steerable CNNs for PDE Modeling

    Oct 15, 2025Bálint László Szarvas, Maksim ZhdanovPartial Differential EquationsConvolutional Neural Networks