Spatiotemporal Fields

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6 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

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  1. PhysDEM: Physics-Defined Energy-Matching Diffusion for Spatiotemporal Field Generation under Scarce Measurements

    Oct 1, 2026Zhenyu Liang, Yining Huang, Yubo Zhao +1Spatiotemporal FieldsDiffusion Dynamics

    HKUST · UT Austin

  2. SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference

    Sep 29, 2026Ruichen Xu, Siyao Wang, Fang Wan +8Neural Partial Differential Equation SolversPartial Differential Equations

    Stony Brook University · University of California, Davis · Independent Research +3

  3. PDE-OBS: Controlled Evaluation Across Observation Patterns

    Sep 29, 2026Ruichen Xu, Siyao Wang, Fang Wan +7Spatiotemporal FieldsShort-Horizon Forecasting

    Stony Brook University · University of California, Davis · Independent Research +3

  4. Calibrated Uncertainty for Informative Path Planning in Aquatic Environmental Monitoring

    Sep 28, 2026Samuel Yanes Luis, Alejandro Casado Pérez, Alejandro Mendoza Barrionuevo +3Calibrated UncertaintyPath Planning

    Department of Electronic Technology, University of Sevilla, Sevilla, Spain · Department of Electronic Engineering, University of Sevilla, Sevilla, Spain

  5. Efficient Continuous DEM Reconstruction under Limited Target-Resolution Supervision

    Sep 24, 2026Zekai Shi, Meng Zhang, Haokun Zhang +1Digital Elevation ModelsSpatiotemporal Fields

    School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, 710049, China · School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, 710072, China

  6. Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds

    Sep 15, 2026Jan Tauberschmidt, Brian B. Moser, Stanislav Frolov +3Generative ModelsScore-Based Diffusion Model

    DFKI Kaiserslautern · RPTU Kaiserslautern · Imperial College London

  7. Gaussian Processes for Modelling Spatial Fields with Robot Swarms

    Sep 15, 2026Guillermo Legarda Herranz, Gianpiero Francesca, Mauro BirattariSwarmsSpatiotemporal Fields

    IRIDIA, Universit´e libre de Bruxelles, 1050 Brussels, Belgium · Toyota Motor Europe

  8. Recovering Governing Dynamics from Distributed Observations via Exact Spline Merging

    Sep 15, 2026Naveen MysoreSpatiotemporal FieldsSplines

    University of California, Santa Barbara · Dyssonance AI

  9. Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI

    Sep 9, 2026Sylvain Jaume, Hongming Wang, Simon K. WarfieldBrain Tumor SegmentationMagnetic Resonance Imaging

    Massachusetts Institute of Technology · Harvard University · Boston Children’s Hospital, Harvard Medical School

  10. HarmoCore: Functional Latent Diffusion for Sparse Reconstruction of Oscillatory Wave Fields

    Sep 1, 2026Lihao Chen, Xinyu Zhang, Panqi Chen +4Complex WavefieldSignal Reconstruction

    College of Information Science and Electronic Engineering, Zhejiang University

  11. Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty

    Aug 9, 2026Jennifer N. Kampe, Changwoo J. Lee, Xin Shen +5Sound Source LocalizationIndoor Localization

    Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland · Department of Statistical Science, Duke University, Durham, NC, USA · 3Digital Services, University of Jyväskylä, Jyväskylä, Finland +1

  12. Localization in Spatiotemporal Fields via Environmental PDEs

    Jul 31, 2026Jose Fuentes, Abdullah Al Redwan Newaz, Ana Cavalcanti +1Particle FiltersSpatiotemporal Fields

    Faculty of Computer Engineering and Information Sciences, Florida International University, Miami, FL 33174, USA · University of New Orleans, New Orleans, LA 70148, USA

  13. Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality

    Jul 29, 2026Xiaoyin Pan, Christian R. Shelton, Rakshith Mahishi +1Determinantal Point ProcessSpatiotemporal Fields

    University of California, Riverside · New York University · Zhongguancun Academy

  14. Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

    Jul 28, 2026Daniel Kua, Yan SongSpatiotemporal FieldsGenerative Models

    Department of Statistics, University of British Columbia

  15. Semantic-Edge Response Decoding of SAM3 for Zero-Shot Crack Segmentation

    Jul 14, 2026Shipeng Liu, Zhanping Song, Liang Zhao +1Segment Anything ModelPixel-Level Annotation

    Xi’an University of Architecture and Technology

  16. FoundationGeo: Learning Spatial Pixel-Wise Fields for Monocular Metric Geometry

    Jul 13, 2026Muxin Liu, Xiaoyang Lyu, Tianhe Ren +73D Foundation ModelsGeometric Metrics

    The University of Hong Kong · Voyager Research, DiDi Chuxing

  17. TSCoNet: A Two-Stage Copula CNN-LSTM for Uncertainty-Aware Spatio-Temporal Forecasting

    Jul 11, 2026Jongwook Kim, Jong-Min KimSpatio-Temporal ForecastingPredictive Uncertainty

    Statistics Discipline, Division of Science and Mathematics, University of Minnesota-Morris

  18. Generative wave propagator

    Jul 5, 2026Shijun Cheng, Tariq AlkhalifahComplex WavefieldFull Waveform Inversion

    Division of Physical Science and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900, Saudi Arabia

  19. Dynamic Gaussian Processes and the Vanilla-SPDE Exchange

    Jun 30, 2026Rui-Yang Zhang, Lachlan Astfalck, Edward Cripps +2Gaussian ProcessSpatiotemporal Fields

    School of Mathematical Sciences, Lancaster University. · School of Mathematics and Statistics, The University of New South Wales. · School of Physics, Mathematics and Computing, the University of Western Australia.

  20. Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications

    Jun 23, 2026Arindam Sengupta, Paul Jeanney, Ricardo Vinuesa +2Tensor DecompositionSingular Value Decomposition

    ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros, 3, Madrid, 28040, Spain · Ove Arup, C. de Alfonso XI, 12, Retiro, Madrid, 28014, Spain · Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, United States

  21. Approximating Gaussian Whittle-Matern Fields over Well-Centered Triangulations of Riemannian Manifolds

    Jun 11, 2026Srinivas NambirajanRiemannian ManifoldsSpatiotemporal Fields

  22. Uncertainty-Aware Graph Neural Reconstruction of Urban Temperature Fields from Sparse Sensors under Deployment Constraints

    Jun 1, 2026Reda Snaiki, Abdelatif MerabtineOptimal Sensor PlacementTemporal Graph Neural Networks

    Department of Construction Engineering, École de Technologie Supérieure, Université du Québec, Montréal, Québec, Canada

  23. Data Enrichment for Symbolic Regression Using Diffusion Models

    May 31, 2026Simon De Reuver, Tamas Kristof Toth, Teddy LazebnikSymbolic RegressionSpatiotemporal Fields

    Department of Computing, Jönköping University, Jönköping, Sweden · Department of Information Science, University of Haifa, Haifa, Israel

  24. Scalable Bayesian Inference for Nonlinear Conservation Laws

    May 29, 2026Tim Weiland, Philipp HennigBayesian InferenceUncertainty Quantification

    T"{u}bingen AI Center, University of T"{u}bingen, T"{u}bingen, Germany

  25. PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems

    May 25, 2026Divyam Goel, Nithin Chalapathi, Sanjeev Raja +1Neural Partial Differential Equation SolversBayesian Inverse Problems

    Department of Computer Science, UC Berkeley · Departments of Computer Science and Chemical EngineeringMay UC Berkeley; LBNL

  26. SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

    May 23, 2026Pouria Behnoudfar, Deekshith Naidu Ponnana, Noah J. Schmelzer +6Parametric Physics-Informed Neural NetworkPorous Media

    Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, USA · Department of Civil Engineering, Johns Hopkins University, Baltimore, MD, USA · Materials Physics and Applications Division, Los Alamos National Laboratory, Los Alamos, NM, USA +2

  27. DiffATS: Diffusion in Aligned Tensor Space

    May 10, 2026Jinhua Lyu, Tianmin Yu, Brian Kim +3Diffusion AlignmentDiffusion Models

    Northwestern University

  28. PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting

    May 8, 2026William Bjorndahl, Maninder Pal Singh, Farhad Nouri +1Radio Map EstimationWireless Radiance Field

    Department of Electrical and Computer Engineering, Southern Methodist University, Dallas, TX, USA · Department of Engineering Technology, University of Houston, Houston, TX, USA

  29. StreamPhy: Streaming Inference of High-Dimensional Physical Dynamics via State Space Models

    May 8, 2026Panqi Chen, Yifan Sun, Shikai Fang +2Streaming InferenceSpatiotemporal Fields

    College of Information Science and Electronic Engineering, Zhejiang University · School of EECS,Oregon State University

  30. PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics

    May 5, 2026Hao Zhou, Rui Zhang, Han Wan +1Rectified FlowSpatiotemporal Fields

    Gaoling School of Artificial Intelligence, Renmin University of China

  31. GRIFDIR: Graph Resolution-Invariant FEM Diffusion Models in Function Spaces over Irregular Domains

    May 5, 2026James Rowbottom, Elizabeth L. Baker, Nick Huang +3Diffusion ModelsDiscretization

    Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark · Department of Mathematics, Simon Fraser University, Canada +1

  32. PODiff: Latent Diffusion in Proper Orthogonal Decomposition Space for Scientific Super-Resolution

    May 5, 2026Onkar Jadhav, Tim French, Matthew Rayson +1Spatiotemporal FieldsLatent Diffusion Model

    School of Earth and Oceans, UWA Oceans Institute, University of Western Australia, Crawley, WA, Australia · School of Physics, Mathematics and Computing, Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia.

  33. Learning Interpretable PDE Representations for Generative Reconstructions with Structured Sparsity

    Apr 26, 2026Valerie Tsao, Nathaniel Chaney, Manolis VeveakisLatent Diffusion ModelSpatiotemporal Fields

    Department of Civil & Environmental Engineering, Duke University, NC, USA.

  34. Leveraging Differentiable PDE Solvers for Semi-Neural Spatial Reconstruction From Sparse Measurements

    Jan 28, 2026Ofek Aloni, Barak FishbainNeural Partial Differential Equation SolversPartial Differential Equations

    Department of Mathematics, Technion, Israel · Department of Civil and Environmental Engineering, Technion, Israel

  35. Attention in Geometry: Scalable Spatial Modeling via Adaptive Density Fields and FAISS-Accelerated Kernels

    Jan 5, 2026Zhaowen Fan, Yunxiang HanSpatiotemporal FieldsApproximate Nearest-Neighbor Search

    School of Computer, SICHUAN UNIVERSITY, CHENGDU, CHINA, 610065

  36. LaSEr-Edit: Localized Span-level Error Editing with Energy-based Localization

    Jun 30, 2024Hye Ryung Son, Saehee Eom, Mooho Song +1Large Language Model SafetyLocalization

    Graduate School of Data Science Seoul National University · Georgia Institute of Technology