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NeurIPS 2026U VirginiaSpatio-temporal forecasting

AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

AdaST adaptively decomposes and recombines spatial-temporal data via heterogeneity-aware experts to match distinct coupling regimes, significantly outperforming state-of-the-art forecasting baselines.

Zhenyu Lei, Chenghao Liu, Yushun Dong, Qi R. Wang and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published Sep 20, 2026 · 0 citations

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ACL 2026MicrosoftEmoryGriffithSpatio-temporal forecasting

STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning

STReasoner uses spatial-aware reinforcement learning to empower LLMs for spatio-temporal reasoning in time series, with large accuracy gains over proprietary models at low cost.

Juntong Ni, Shiyu Wang, Qi He, Ming Jin and 1 more

Published 2026 · 1 citation

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
67%Highly rated
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NeurIPS 2026TianjinJilin University, ChinaBeijing University of Posts and Spatio-temporal forecasting

Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting

Cuiying Huo, Baoxu Wang, Lin Wu, Yu Mei and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Beijing JiaotongBeijing jiaotong univercitySpatio-temporal forecasting

When to Trust Memory: Retrieval-Guided Probabilistic Spatiotemporal Forecasting under Distribution Shift

Haochen Lv, Jianhao Zhang, Zhichen Lei, Yang Jiang and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Hong Kong PolytechnicHong Kong University of Science Spatio-temporal forecasting

ObsConDA: Observability-Constrained Data Assimilation with Control-Space Inference

He Fang, Jiaqi FAN, Dan Wang

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Science and Technology of ChinU Science and Technology ChinaSpatio-temporal forecasting

ExoC2T: An exogenous-driven spatio-temporal learning framework for cross-city transfer

Hailong Yu, Zhengyang Zhou, Liwen Zhang, Qihe Huang and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U Texas at AustinU California, RiversideVirginia Polytechnic Institute aSpatio-temporal forecasting

MCM-DM: Towards Better Spatio-Temporal Event Representation Learning via Discrete Morse Theory

Yuanheng Zhang, Jennifer Rozenblit, Chenguang Yang, Jaidev Goel and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026NanjingShanghai Jiao Tongnanjing universityTongjiSpatio-temporal forecasting

PhysTC: A Physics-Enhanced Dataset and Architecture for High-Precision Tropical Cyclone Forecasting

Zhaoran Feng, Xuanhong Chen, Zengbing Chen, Shengjun Wu and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026FudanShanghai Academy of Artificial ISpatio-temporal forecasting

AirMPA: A Meteorology-to-Pollution Adapter for Global Air Quality Forecasting

Yiheng Wang, kai zheng, Yuetan Lin, Fanglu Fan and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026KoreaChungnam NationalSpatio-temporal forecasting

SIMBAD: Spatio-Temporal Traffic Forecasting Robust to Aperiodicity

Daniel Yoonhwan Lee, Seungwon Shin, Seunghoon Han, Sungsu Lim and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026HunanU OxfordKarlsruher Institut für TechnoloKarlsruhe Institute of TechnologSpatio-temporal forecasting

OccStress: Stress-Testing the 4D Occupancy Forecasting Chain

Yu Zheng, Jie Hu, Jiaqi Xiong, Ruiping Liu and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Agency for Science, Technology aNanyang TechnologicalI2R, A*STARThe Chinese University of Hong KNational Environment AgencySpatio-temporal forecasting

GeoRad-3D: Factorized Geometry Transport and Residual Radiometry for 3D Radar Nowcasting

YITING LI, Zihan Zhou, Shengkai Chen, Jing Zhang and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ColumbiaU Texas Southwestern Medical CenSpatio-temporal forecasting

NeuralFieldManifold: Reconstruction of LFP manifold with Lag Embedding

Kasra Fallah, Haoyu N Chen, Rudramani Singha, Eunji Kong and 3 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Ecole Polytechnique of ParisUniversité Claude BernardInstitut Polytechnique de ParisTotalEnergiesLinear accelerator LaboratorySpatio-temporal forecasting

Learning Spectral Compositional Koopman Operators for Global-to-Regional Weather Forecasting

khalid OUBLAL, Malo Guichard, François Bertholom, Simon Albergel and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
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57%Worth a look
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NeurIPS 2026Indian Institute of Technology, NVIDIAIndian Institute of Technology DSpatio-temporal forecasting

AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting

Siddharthan Dileep, Sanchit Bedi, Pareshbhai D Parmar, Ayush Maheshwari and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026FudanFudan UniverstityHuawei Technologies Ltd.Huawei Noah’s Ark LabSpatio-temporal forecasting

Fast-Slow Evolutionary Occupancy Prediction via Controlled Dynamics

Runhe Yang, Zhiyuan Zhou, Yuxiang Yan, Xuetong Yang and 6 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026U AmsterdamSwiss Data Science Center, ETH ZETH ZurichUniversity Of CambridgeSwiss Federal Institute of TechnSpatio-temporal forecasting

Long-Rollout Stability in AI Weather Models: A Quantitative Benchmark and Analysis

Fanny Lehmann, Firat Ozdemir, Yun Cheng, Torsten Hoefler and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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lenient 2/5
medium 0/10
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NeurIPS 2026Lingang LaboratoryU the Chinese Academy of ScienceShanghaiTechCenter for Excellence in Brain SSpatio-temporal forecasting

Inferring Computational Structure from Neural Recordings with Gain-Modulated Linear Dynamical Systems

Yiteng Zhang, Zixiong Wang, Zhengze Wang, Ke Chen and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026NanjingShanghai Jiao Tongnanjing universityTongjiSpatio-temporal forecasting

Blind-Window Forecasting: Real-Time Benchmarking and Multimodal Reconstruction for Tropical Cyclones

Zhaoran Feng, Xuanhong Chen, Zengbing Chen, Shengjun Wu and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
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NeurIPS 2026KAISTKorea Advanced Institute of ScieSpatio-temporal forecasting

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions

MASF redesigns score-based filtering with a measurement-aware forward process that transforms states toward measurements, yielding accurate likelihood scores, stronger assimilation under sparse nonlinear observations, and up to 28.2x faster inference.

EUNBEE YOUN, Donghan Kim, Dae W Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 1/5
63%Worth a look
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NeurIPS 2026OralDRWSpatio-temporal forecasting

Filtered Conformal Ellipsoids for Graph-Native Time Series

Filtered conformal ellipsoids combine frozen state-space filters with split-conformal calibration of Mahalanobis scores to yield adaptive multivariate time-series prediction sets with approximate coverage under dependence, yielding sharper ellipsoids than static baselines on moderate graph-native be

Yannick Limmer

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
91%Must read
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NeurIPS 2026OralMITMassachusetts Institute of TechnU WyomingRostockFondazione Edmund MachSpatio-temporal forecasting

MOVEBENCH: A Benchmark for Global-Scale Wildlife Movement Forecasting

MoveBench introduces a 2.6M-location wildlife movement forecasting benchmark across 110 species and finds existing methods generalize poorly to unseen individuals and deep learning does not consistently beat simpler baselines.

Justin Kay, Shir Bar, Ellen O Aikens, Martin Becker and 27 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

100% Readers1 of 1 upvoted
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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
83%Must read
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NeurIPS 2026German Research Center for ArtifDFKI (German Research Center forGerman Research Center for AISpatio-temporal forecasting

Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling

SEAHORSE unifies neural spatiotemporal point process benchmarking via common encode-evolve-decode interfaces and standardized protocols, revealing inductive biases through synthetic stress tests.

Yahya Aalaila, Sebastian Vollmer, Gerrit Großmann

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
70%Highly rated
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NeurIPS 2026U AlbertaFaculty of Mathematics and PhysiCharles University PragueAi2Sony AISpatio-temporal forecasting

Neural Bayesian Filtering

Neural Bayesian Filtering maintains hidden-state beliefs via learned embeddings and particle-style updates, tracking multimodal distributions efficiently in partially observable environments.

Christopher Solinas, Radovan Haluška, David Sychrovský, Finbarr Timbers and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 5 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 0/5