Key papers

• Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning (2026)
  Chen Tang et al.
  14.56
• Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction (2026)
  Tianyang Huang et al.
  5.01
• GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis (2026)
  Jiahao He et al.
  5.01
• SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling (2026)
  Alaina Kolli et al.
  4.39
• Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search (2026)
  Binglin Ji et al.
  4.39
• HPG-Diff: Hierarchical physics-guided diffusion with differentiable connectivity constraints for topology optimization (2026)
  Jinbo Yang et al.
  4.39
• Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science (2026)
  Sutanay Choudhury et al.
  4.39
• Spectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs (2026)
  Tianchi Yu et al.
  4.39
• Dual-domain fused LSTM modeling for efficient time-dependent reliability analysis (2026)
  Yixin Zhang et al.
  4.39
• AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries (2026)
  Mengda Xing (CRIL et al.
  4.39
• Generative and multimodal AI for materials prediction and design: Progress, challenges, and perspectives (2026)
  Xianyuan Liu et al.
  3.51
• Efficient Recommendations via Graph Coarsening and Label Propagation (2026)
  Alessandro Sbandi 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
• FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers (2026)
  Peiyu Zang et al.
  2.00
• Spectral Flow Certificates for Depth-Aware Long-Range Propagation in Graph Neural Networks (2026)
  Ranjan Veerabhadraswamy et al.
  2.00
• An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning (2026)
  Maximilian Dax et al.
  2.00
• Deep Sigma Point Processes for RCS Modeling in Spaceborne SAR Imagery (2026)
  Khalid El-Darymli et al.
  2.00
• Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (2026)
  Jinglin Yu et al.
  2.00
• Graph-Theoretic Neural Network Fragmentation with Covariant Direct Molecular Force Learning: Enabling Coupled-Cluster Accuracy AIMD for Fluxional Systems (2026)
  Xiao Zhu et al.
  2.00
• A Dual Path Framework with Hotspot Guided Fusion for Three Dimensional CT to PET Synthesis in Head and Neck Cancer (2026)
  Mohd Maaz Khan et al.
  2.00
• Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet (2026)
  Geran Zhao et al.
  2.00
• Simulation-Based Empirical Bayes (2026)
  Xinwei Shen et al.
  2.00
• Diffusion Models in Medical Image Inpainting: Challenges, Solution Taxonomy, and Future Directions (2026)
  Arthur Dantas Mangussi et al.
  2.00
• MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting (2026)
  Mingyi Ma et al.
  2.00
• Generalized Neural Operator for Parametric and Boundary-Value Problems (2026)
  Ruoyan Li et al.
  2.00
• LatentFlow: Visual Analytics for Latent Space Analysis in Molecular Graph Neural Networks (2026)
  Shiyi Liu et al.
  2.00
• Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers (2026)
  Zhangyong Liang et al.
  2.00
• A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures (2026)
  Zihan Li et al.
  2.00
• Spectral Prior for Reducing Exposure Bias in Diffusion Models (2026)
  Yuya Kobayashi et al.
  2.00
• Projection Pursuit CPCANet for Domain Generalization (2026)
  Yu-Hsi Chen et al.
  2.00
• TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex (2026)
  Yuliang Yan et al.
  2.00
• From Score Approximation to Distribution Approximation in Score-Based Diffusion Models (2026)
  Lan V. Truong
  2.00
• Latent PDE mapping for efficient physics-informed learning across geometries with limited data (2026)
  Ingvild Askim Adde et al.
  2.00
• Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows (2026)
  Harish Ramachandran et al.
  2.00
• Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks (2026)
  Masahiro Tanaka
  2.00
• PRIMS: Physics-guided Representation for Fluid Identification in Multimodal Sensing (2026)
  Hai-Long Nguyen et al.
  2.00
• A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks (2026)
  Tal Weissblat
  1.94
• Geometry-Conditioned Fourier Neural Operators for Cubic Nonlinear Schrodinger Dynamics on Periodic Domains (2026)
  Emmanuel E. Oguadimma et al.
  1.94
• Effect of Graph Gluing on Consensus in Networked Multi-Agent Systems (2026)
  Rohollah Moghadam et al.
  1.89
• DriftXpress: Faster Drifting Models via Projected RKHS Fields (2026)
  Ali Falahati et al.
  1.89
• SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation (2026)
  Longtao Jiang et al.
  1.89
• Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis (2026)
  Kartikay Tehlan et al.
  1.83
• A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways (2025)
  Gabriel Spadon et al.
  1.56
• MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network (2025)
  Xintian Yuan et al.
  1.11
• Grounding Graph Network Simulators Using Physical Sensor Observations (2023)
  Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, et al.
  0.00
• SFMGNet: A Physics-based Neural Network To Predict Pedestrian Trajectories (2022)
  Sakif Hossain et al.
  —
• Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach (2023)
  Cheng Wen et al.
  —