Papers

• Decentralized Stochastic Subgradient-type Methods with Communication Compression for Nonsmooth Nonconvex Optimization (2026)
  Siyuan Zhang et al.
  5.49
• PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling (2026)
  Varvara Nazarenko et al.
  4.39
• Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes (2026)
  Yiqun Zhang et al.
  4.39
• $\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse (2026)
  Girum Demisse
  4.39
• K-ABENA: K-Adaptive Backpropagation with Error-based N-exclusion Algorithm : (Compensated Loss-Based Sample Exclusion with Unbiased Gradient Estimation) (2026)
  Jean-Francois Bonbhel
  4.39
• GES-TSP: Graph Edge Sparsification for TSP (2026)
  Tianfeng Chen et al.
  4.39
• Geometric mean-based pairwise comparison method with the reference values -- statistical approach (2026)
  Konrad Ku{\l}akowski et al.
  4.39
• A Hyperbolic Neural Closure for M1 Radiation Transfer (2026)
  Bongseok Kim et al.
  4.39
• Repairing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry (2026)
  Adam Haroon et al.
  4.39
• Exact and Certified Data Shapley for Weighted k-Nearest-Neighbor Regression and Soft-Label Prediction (2026)
  Zongye Lyu
  4.39
• Constructed Reality, Contested Priors: Decoupling and the Architecture of Cognitive Relapse Under the Free Energy Principle (2026)
  MD Ibrahim Hossain Ridoy
  4.39
• Beyond Coordinate Gauge: An Audited Protocol for Detecting Donor-Specific Functional Fingerprints after Neural Collapse (2026)
  Truong Xuan Khanh et al.
  4.39
• Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance (2026)
  Zixuan Shen (Central South University) et al.
  4.39
• From Geometric Recovery to Causal Validation: A Reproducible Audit of Sparse Autoencoder Features, from Superposition Geometry to Causal Inertness (2026)
  Mohamed Abdessalem Bal
  4.39
• On the convergence of graph Laplacians with a symmetric divergence (2026)
  Liane Xu
  3.51
• Kernel-based Operator Learning: Error Analysis, Budget Allocation, and a Physics-Informed Extension (2026)
  R\"udiger Kempf
  3.51
• Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion (2026)
  Shervin Khalafi et al.
  3.51
• Accelerated Mixing Time of Randomized Hamiltonian Monte Carlo (2026)
  Siddharth Mitra et al.
  3.51
• Real-time optimal control with shallow recurrent decoder networks (2026)
  Matteo Tomasetto et al.
  3.51
• Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary (2017)
  Felipe Tobar
  —
• Data-Driven Time Series Reconstruction for Modern Power Systems Research (2021)
  Minas Chatzos et al.
  —
• Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data (2023)
  Tongyue Shi et al.
  —