Key papers

• Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation (2026)
  Bingnan Li et al.
  13.58
• ARGUS: Accelerated, Robust, General, and Unsupervised Cell Tracking Solutions (2026)
  Noah Jaitner et al.
  5.49
• ScoreShield: Differentially Private Release of Similarity Scores (2026)
  Behrooz Razeghi et al.
  5.49
• Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks (2026)
  Yangting Sun et al.
  5.01
• Von Mises-Fisher Mixture Model with Dynamic Shrinkage for Realistic Test-Time Transduction (2026)
  Jiazhen Huang et al.
  5.01
• Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework (2026)
  Xianghong Fang et al.
  5.01
• Recti-Q: Feature-Space Rectification for Out-of-Distribution-Robust Quantized Perception in Edge Robotics (2026)
  Hamidreza Yaghoubi Araghi et al.
  5.01
• Stokes-Informed Diffusion for Robust Linear Polarization Estimation (2026)
  Yidong Luo et al.
  5.01
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  5.01
• Projection Pursuit CPCANet for Domain Generalization (2026)
  Yu-Hsi Chen et al.
  5.01
• CuBAS: Information Geometric Curvature-Based Adaptive Sampling for Supervised Classification (2026)
  Alexandre L. M. Levada
  4.39
• On Pairwise Quantile Regression - Statistical Guarantees and Applications (2026)
  Romain Th\'er\'ezien et al.
  4.39
• $\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse (2026)
  Girum Demisse
  4.39
• RSLoRA: Training-free Rank Allocation for LoRA via Representational Sensitivity Probing (2026)
  Jiaqi Liu et al.
  4.39
• Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design (2026)
  Wenhao Fan et al.
  4.39
• Error Aware Distribution Prediction for Lightweight Implicit Neural Representations (2026)
  Zhimin Li et al.
  4.39
• Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models (2026)
  Peng Xia et al.
  4.39
• Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation (2026)
  Ritu Yadav et al.
  4.39
• DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery (2026)
  Peiyan Gu et al.
  4.39
• ERank in Latent Space as an Image-Complexity and Richness Measure (2026)
  Maksim Smirnov et al.
  4.39
• Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition (2026)
  Yi-Hang Zhu et al.
  4.39
• $\gamma$-Bridge: A Look-Parametric Diffusion Bridge (2026)
  Xuran Hu et al.
  4.39
• Meshless Domain Randomization via Explicit Parameter Perturbation of 3D Gaussian Splatting (2026)
  Felipe Nunes Carbone de Carvalho et al.
  4.39
• Spectral-Aware Analytic Class-Incremental Learning for Long-Tailed Distributions (2026)
  Quyen Tran et al.
  4.39
• SHReg: Strictly Rotation-Equivariant Point Cloud Registration via Spherical Harmonics (2026)
  Chongjian Wang et al.
  4.39
• Learning Sampling Parameters for Diffusion Models (2026)
  Arisrei Lim et al.
  4.39
• D3O: Dynamic Distribution Distillation for Ordinal Regression (2026)
  Chunlai Dong et al.
  4.39
• Controllable Diversity in Normalization-Based Implicit Ensembles via Softmax-Temperature Modulation (2026)
  Mihai Suteu et al.
  4.39
• Manifold-Constrained Noise Optimization for Diverse Diffusion Sampling (2026)
  Qitan Shi et al.
  4.39
• RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Representation (2026)
  Jiayu Zhu et al.
  4.39
• Structural Loss Metrics for Tensor Approximation via Matrix Low-Rank Approximation (2026)
  Hiroki Hasegawa
  4.39
• PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification (2026)
  Xinxing Yu et al.
  4.39
• LoTA-N2N: Local Trace Adaptation for Zero-Shot Self-Supervised Image Denoising (2026)
  Jintong Hu et al.
  4.39
• Denoising 3D images: robustness of persistent homology measures (2026)
  Ebru Dagdelen et al.
  4.39
• Beyond Counts: A Distributional Robustness Margin For Pathology Foundation Models (2026)
  Cl\'ement Grisi et al.
  4.39
• Beyond Static Costs: Learning-Dynamics Aware Loss Functions for Long-Tailed Classification (2026)
  Varad Shinde et al.
  4.39
• Lottery Tickets Are Not Deployment Tickets (2026)
  Bum Jun Kim
  4.39
• Uncertainty Estimation and Generalization Bounds for Modern Deep Learning (2026)
  Luis A. Ortega
  4.33
• Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance (2026)
  Theodore Meek et al.
  4.33
• Nonlinear mixture model motivated subspace clustering (2026)
  Ivica Kopriva
  4.33
• Sparsity-Inducing Divergence Losses for Biometric Verification (2026)
  Dimitrios Koutsianos et al.
  4.33
• DS-SAC: Density Search for Sample Consensus (2026)
  Suraj Thapa et al.
  3.51
• Straight-Path Flow Matching for Incomplete Multi-View Clustering (2026)
  Yiteng Yuan et al.
  3.51
• Transformed $\ell_1$ Gradient Regularization for Image Denoising (2025)
  Nabiha Choudhury et al.
  2.62
• Fitting Generalized Power Diagrams to 3D Image Data: A Prerequisite for Virtual Materials Testing (2025)
  Andreas Alpers et al.
  2.40
• JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models (2026)
  Ruiyi Ding et al.
  2.00
• The Label Complexity of Class-Conditional Coverage under Distribution Shift (2026)
  Weijia Han et al.
  2.00
• Landmark shape spaces with induced metrics (2026)
  Sarang Joshi et al.
  2.00
• QQWorld: Quantile-Quantile Matching for World Model Regularization (2026)
  Zhoushun Yu et al.
  2.00
• Kohn-Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification (2026)
  V. S. Usatyuk et al.
  2.00
• Private and Stable Test-Time Adaptation with Differential Privacy (2026)
  Zefeng Li et al.
  1.94
• Decentralized Proximal Stochastic Gradient Langevin Dynamics (2026)
  Mohammad Rafiqul Islam, Lingjiong Zhu
  1.94
• Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning (2026)
  Aristotelis Ballas et al.
  1.89
• Active Measurement of Two-Point Correlations (2026)
  Max Hamilton et al.
  1.83
• Knowledge Lever Risk Management For Software Engineering: A Stochastic Framework For Mitigating Knowledge Loss (2026)
  Mark Chua, Samuel Ajila
  1.83
• Lipschitz-Based Robustness Certification Under Floating-Point Execution (2026)
  Toby Murray
  1.78
• Infinite-Precision Autoregressive Modeling for Vector Graphics and Layouts (2026)
  Yeonsang Shin et al.
  1.67
• HOT-POT: Optimal Transport for Sparse Stereo Matching (2026)
  Antonin Clerc et al.
  1.67
• An ICTM-RMSAV Framework for Bias-Field Aware Image Segmentation under Poisson and Multiplicative Noise (2025)
  Xinyu Wang et al.
  1.56
• Intriguing Properties of Dynamic Sampling Networks (2025)
  Dario Morle et al.
  1.56