Key papers

• Spectral Flow Certificates for Depth-Aware Long-Range Propagation in Graph Neural Networks (2026)
  Ranjan Veerabhadraswamy et al.
  5.49
• Posterior Samplings are Missing Modalities Generators for Medical Image Translation (2026)
  Jonghun Kim
  5.01
• Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations (2026)
  Domenico Pomarico et al.
  5.01
• Automatic knot selection in smooth additive models (2026)
  Nicol\'as Carrizosa et al.
  5.01
• DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests (2026)
  Xin Zhao et al.
  5.01
• Stokes-Informed Diffusion for Robust Linear Polarization Estimation (2026)
  Yidong Luo et al.
  5.01
• Smart predict-then-robustly-optimize (2026)
  Aakil Caunhye et al.
  5.01
• Reconstruction of Enhanced Causal Omnidirectional Network (RECON) (2026)
  Praveen Niranda et al.
  5.01
• Projection Pursuit CPCANet for Domain Generalization (2026)
  Yu-Hsi Chen et al.
  5.01
• A Framework for Individual Tree Growth Reconstruction Using Multi-Platform Laser Scanning (2026)
  Daniella Tavi et al.
  5.01
• Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis (2026)
  Laura M. Montaldo et al.
  5.01
• Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models (2026)
  Yebin Zheng et al.
  5.01
• Graph-Based Correlation Matrix Generation: A Convex Optimization Approach (2026)
  Ali Fakhar (UGA) et al.
  5.01
• Pitfalls and Remedies for Multi-Task Bayesian Optimization (2026)
  Carl Hvarfner et al.
  4.39
• PolarBM: Complex-valued Boltzmann Machine for Modeling Audio Signals in Polar and Log-polar Coordinates (2026)
  Toru Nakashika et al.
  4.39
• Causal Discovery on Irregular Time Series (2026)
  Martim Penim et al.
  4.39
• A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling (2026)
  Eric Herrison Gyamfi et al.
  4.39
• Nonlinear Bias-Compensated Adaptive Filter and Its Application for Time-Series Prediction (2026)
  Yi Peng et al.
  4.39
• Multi-stage Dynamic Selection for Cross-Project Defect Prediction (2026)
  Juscimara G. Avelino et al.
  4.39
• Enabling Scalable Topology Inference in Distribution Systems via Constrained Multi-Source Inference (2026)
  Haoran Li et al.
  4.39
• Generative Bayesian Filtering for State Estimation (2026)
  Lei Cao et al.
  4.39
• Detecting Neural Network Failures through Spectral Analysis of Internal Activations (2026)
  Arunan J
  4.39
• STeMP: Spatio-Temporal Modelling Protocol (2026)
  Jan Linnenbrink et al.
  4.39
• Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery (2026)
  Amirhossein Nouranizadeh et al.
  4.39
• Regularized Optimization on Grassmann Manifold: Theory, Algorithm and Applications (2026)
  Zhuan Liang et al.
  4.39
• CASC: Causal Adversarial Subspace Clustering for Multivariate Spatiotemporal Data (2026)
  Francis Ndikum Nji et al.
  4.39
• Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery (2026)
  Khalid El-Darymli et al.
  4.39
• Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement (2026)
  Guoming Li et al.
  4.39
• MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting (2026)
  Mingyi Ma et al.
  4.39
• LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks (2026)
  Shiyi Liu et al.
  4.39
• A Leakage-Free Stacked Ensemble Method for Multiclass Classification (2026)
  S. P. Sharmila et al.
  4.39
• Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition (2026)
  Yi-Hang Zhu et al.
  4.39
• Beyond Binary Rooftop Mapping: A Four-Class Deep Learning Framework for Green Roof Potential Assessment from Open Swiss Geospatial Data (2026)
  Htet Yamin Ko Ko
  4.39
• Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent (2026)
  Peng Zhao
  4.39
• Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes (2026)
  Athanasios Papastathopoulos-Katsaros et al.
  4.39
• Characterization of the Basin of Convexity for Multi-Snapshot Spike Deconvolution via Variable Projection (2026)
  Meghna Kalra et al.
  3.51
• Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography (2026)
  Boyuan Deng et al.
  2.00
• Interpretable Anomaly and Drift Detection with Gaussian Mixture Models (2026)
  Behnam Asadi
  2.00
• An Explainable FFT-Based Spatial-Frequency Fusion Framework for Deepfake Detection (2026)
  Pamela Kirui et al.
  2.00
• Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with nonconform (2026)
  Oliver Hennh\"ofer et al.
  1.89
• Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis (2026)
  Kartikay Tehlan et al.
  1.83
• gp2Scale: A Class of Compactly Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points (2025)
  Marcus M. Noack et al.
  1.61
• Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation (2025)
  Eduardo Fernandes Montesuma et al.
  1.50
• Leveraging semantic similarity for experimentation with AI-generated treatments (2025)
  Lei Shi et al.
  1.50
• Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization (2025)
  Romane Giard (ECL et al.
  1.44
• Participatory Budgeting with Project Groups (2020)
  Pallavi Jain et al.
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