Papers

• Generalized Quadratic Gradient: A New Direction in Optimization via the Fusion of Positive-Definite Curvature Matrices and Gradients into A Unified Framework (2026)
  John Chiang
  6.11
• Sheaf-theoretic Signal Processing on Graphs: Spectral Theory, Filtering, and Sampling (2026)
  Gabriele D'Acunto et al.
  4.81
• A Hyperfinite Framework for Score-Based Generative Modeling (2026)
  Sunder Ram Krishnan
  4.81
• Information-Geometric Forward Policy Training in GFlowNets (2026)
  Yordan Raykov et al.
  4.81
• MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining (2026)
  Kaamil Kaka et al.
  4.81
• Transferable Dual-Stream Representations for Mesoscale-Preserving Sea Surface Temperature Downscaling (2026)
  Parth Doshi et al.
  4.81
• Tropical Algebraic Geometry for Neuronal Representations: An Arakelov-Green Measure Based Descriptor for Graph Learning (2026)
  Yuyang Zhang et al.
  4.81
• The Push-Forward Transform for Continuous and Robust Comparison of Dynamic Shapes (2026)
  Roua Rouatbi et al.
  3.77
• Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning (2026)
  Monan Sun et al.
  3.77
• HyperbolicDiffusion: Sharp & Scalable Tiled Generation on the Hyperbolic Plane (2026)
  Hugo Caselles-Dupr\'e
  3.77
• Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling (2026)
  Nelson Aloysio Reis de Almeida Passos et al.
  3.77
• Geometry of Friston's active inference (2018)
  Martin Biehl
  —
• GaussianPro: 3D Gaussian Splatting with Progressive Propagation (2024)
  Kai Cheng et al.
  —