Long-Horizon Forecasting

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 43

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All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping
Sep 29, 2026Yang Li, Aming Wu, Zihao Zhang +33D Mapping Viewpoint-Dependent Active Perception
School of Artificial Intelligence, Tianjin University, China · School of Computer Science and Information Engineering, Hefei University of Technology, China
Diffusion-Based Rollouts as a Stabilization Mechanism for Long-Horizon Environmental Forecasting
Sep 27, 2026Marina Vicens-Miquel, Amy McGovern, Aaron J. Hill +2Long-Horizon Forecasting Stabilization
University of Oklahoma, School of Meteorology, Norman, Oklahoma · University of Oklahoma, School of Computer Science, Norman, Oklahoma · NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, Norman, Oklahoma +2
Agent Memory with Episodic Retrieval for Financial Decision-Making
Sep 23, 2026Nuoyue Xu, Jiang Liu, Wenxuan Huang +3Algorithmic Trading Long-Term Agent Memory
University of British Columbia · University of Science and Technology of China · Fudan University +1
Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction
Sep 15, 2026Junyi Liao, Johann Guilleminot, Vahid TarokhLong-Horizon Forecasting Neural Partial Differential Equation Solvers
†Department of Electrical and Computer Engineering, Duke University · ‡Department of Mechanical Engineering and Materials Science, Duke University
Large Distant Gradients Need Not Be Reliable: reliability-weighted credit assignment for long-horizon autoregressive forecasting
Sep 14, 2026Junhao Zhao, David Michael Simberg, Jacob Kang +2Long-Horizon Forecasting Autoregressive Model
University of Maryland, College Park
Seasonality-Aware Hybrid Convolutional Transformer for Antarctic Sea Ice Concentration Forecasting
Aug 31, 2026Danyang Li, John Taylor, Thang Bui +1Forecasting Backbone Hybrid Transformer
School of Computer Science, Australian National University, Canberra, ACT 2601, Australia · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China
Long-Horizon Forecasting of Complete Financial Statements with Forma
Aug 11, 2026Travis L. Johnson, Jiannan Jiang, Soumyabrata Chaudhuri +3Data-Driven Forecasting Long-Horizon Forecasting
University of Texas at Austin, Austin, TX, USA
Two-stage Odd Residual Flows for Mean-Preserving Probabilistic Time Series Forecasting
Aug 11, 2026Kiran Madhusudhanan, Christian Klötergens, Lars Schmidt-Thieme +1Probabilistic Forecasting Long-Horizon Forecasting
Institute of Computer Science University of Hildesheim Hildesheim, Germany
Beyond Myopic World Models: Long-Horizon End-to-End Training for Direct Future Prediction
Aug 7, 2026Xinyi Li, Zaishuo Xia, Chenjie Hao +1Long-Horizon Forecasting World Models
University of California, Davis
Beyond Linear Dynamics: Neural Bilinear Dynamical Models for Time Series Forecasting
Aug 5, 2026Mengzhou Gao, Huangqian Yu, Pengfei JiaoLong-Horizon Forecasting Nonlinear Dynamics
Hangzhou Dianzi University Hangzhou, China
Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance
Aug 4, 2026Xiucong Zhao, Jindong Tian, Hao MiaoTrajectory Forecasting Long-Horizon Forecasting
1Xi’an Jiaotong University · 2East China Normal University · 3Hong Kong Polytechnic University
Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction
Jul 31, 2026Jiaquan Zhang, Shuxu Chen, Haifan Meng +6Neural Partial Differential Equation Solvers Long-Horizon Forecasting
School of Information and Software Engineering, UESTC · Electronics and Information Convergence Engineering, KHU · School of Computer Science and Engineering, UESTC +4
Deep Learning for Accelerated Long-Horizon Forecasting of Multicomponent Multiphase Microstructure Evolution in High-Entropy Alloys
Jul 30, 2026Hamidreza Razavi, Nele MoelansPorous Media Long-Horizon Forecasting
Department of Materials Engineering, KU Leuven2026 Kasteelpark Arenberg 44 Bus 2450, 3001 Leuven, Belgium
TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising
Jul 28, 2026Kaiyuan Li, Kun Wang, Zhongbo Wang +4Click-Through Rate Prediction Ads
Kuaishou Technology Beijing, China
The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows
Jul 27, 2026Alberto Solera-Rico, Patricia García-Caspueñas, Carlos Sanmiguel Vila +1Reduced-Order Models Latent Dynamics
Sub-directorate general of aeronautical systems, Spanish National Institute for Aerospace Technology (INTA), ctra. M-301, km. 10.5, 28330 San Mart´ın de la Vega, Madrid, Spain. · Departamento de Ingenier´ıa Aeroespacial, Universidad Carlos III de Madrid, Avenida de la Universidad 30, 28911 Legan´es, Madrid, Spain. · Department of Mechanical Engineering, University of Washington, 1410 NE Campus Parkway, Seattle, WA 98195, USA.
Neural operator discovery from heterogeneous trajectories
Jul 25, 2026Zituo Chen, Qiaofeng Li, Jiaxin Hu +1Neural Operators Single Trajectory
Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, 02139, MA, USA. · State Key Laboratory of Fluid Power & Mechatronic Systems, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang Province, China.
ReDiTT: Retrieval Augmented Conditional Diffusion Transformers for Asynchronous Time Series
Jul 14, 2026Saiyue Lyu, Zhitian Zhang, Ruizhi Deng +1Long-Horizon Forecasting Diffusion Transformers
Department of Computer Science, University of British Columbia · Work done during an internship at RBC Borealis. · RBC Borealis
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction
Jul 3, 2026Zhuoqun Li, Boxi Cao, Jiawei Chen +11Long-Horizon Forecasting Long-Term Memory
Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Fudan University +1
SUNTA: Hierarchical Video Prediction with Surprise-based Chunking
Jul 2, 2026Tomoshi Iiyama, Masahiro Suzuki, Yutaka MatsuoLong-Horizon Forecasting Future Video Prediction
The University of Tokyo
A Path-Space Formulation of Prediction in World Models: From a Single Action to Prediction, Planning, and Irreversibility
Jun 27, 2026Gunn KimLatent World Models World Models
Department of Physics, Sejong University, Seoul 05006, Republic of Korea
GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets
Jun 26, 2026Janak M. Patel, Anirudh Deodhar, Dagnachew BirruLong-Horizon Forecasting Entities
Phi Labs, Quantiphi Marlborough, MA 01752, USA
SkyJEPA: Learning Long-Horizon World Models for Zero-Shot Sim-to-Real Control of Quadrotors
Jun 22, 2026Pratyaksh Rao, Wancong Zhang, Randall Balestriero +2Quadrotor Sim-To-Real Reinforcement Learning
University of California Berkeley, Department of Electrical Engineering and Computer Sciences, Berkeley, CA 94720, USA · New York University, New York, NY, USA · Brown University, Providence, RI, USA
HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting
Jun 15, 2026Alper YıldırımLong-Horizon Forecasting Asymmetric Grouped-Attention Variate Mixer
Bridging the sim2real gap in the table tennis robot with a transformer-based ball states predictor
Jun 9, 2026Yin Bi, Christian Conti, Bilan Yang +3Table Tennis Robot Sim-To-Real Reinforcement Learning
Sony AI, Zürich, Switzerland · Sony AI, Tokyo, Japan
COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting
Jun 9, 2026Zesheng Liu, Maryam RahnemoonfarLong-Horizon Forecasting Neural Ordinary Differential Equations
Lehigh University · Bethlehem, Pennsylvania, USA
Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty
Jun 3, 2026Riku Green, Zahraa S. Abdallah, Telmo M Silva FilhoLong-Horizon Forecasting Model Selection
The University of Bristol Bristol, UK
Bridging the Last Mile of Time Series Forecasting with LLM Agents
Jun 1, 2026Yuhua Liao, Zetian Wang, Qiangqiang Nie +1Retrieval-Augmented Forecasting Time Series Forecasting
Trip.com Group, Shanghai, China
AR Forcing: Towards Long-Horizon Robot Navigation World Model
May 29, 2026Yifei Yang, Zehua Fan, Huan Li +9Robot State Autoregressive Model
Institute for AI Industry Research, Tsinghua University · Shanghai Jiao Tong University · School of Safety Science, Tsinghua University +2
Closed-Loop Object-Informed Control for Non-Prehensile Robot Manipulation
May 29, 2026Nikola Raicevic, Hyomuk Kim, Shahid Mulla +5Model Predictive Path Integral Robot Planning
Department of Electrical and Computer Engineering, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, United States
From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting
May 28, 2026Zesheng Liu, Maryam RahnemoonfarLong-Horizon Forecasting Global Climate Models
Department of Computer Science and Engineering, Lehigh University, Bethlehem PA 18015, USA · Department of Civil and Environmental Engineering, Lehigh University, Bethlehem2026 PA 18015, USA
APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction
May 26, 2026Yifan Sun, Lei Cheng, Sijie Chen +3High-Frequency Reconstruction Neural Operators
College of Information Science and Electronic Engineering, Zhejiang University
Completion vs Optimality: Policy Gradient in Long-Horizon Cumulative-Damage Problems
May 26, 2026Wolfgang Maass, Sabine JanzenPolicy Gradient Optimality
Saarland University & German Research Center for Artificial Intelligence (DFKI) · German Research Center for Artificial Intelligence (DFKI)
Autoregression-Free Neural Operators for Time-Dependent PDEs
May 25, 2026Jiaquan Zhang, Caiyan Qin, Haoyu Bian +7Neural Operators Neural Partial Differential Equation Solvers
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China · School of Robotics and Advanced Manufacture, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China · School of Mathematical Sciences, Capital Normal University, Beijing 100048, China +3
A comparative study of accuracy and rollout stability of temporal surrogate models
May 24, 2026Rajarshi BiswasSurrogate Models Long-Horizon Forecasting
Cargill Inc. Wayzata, MN 55391, USA
Latent Laplace Diffusion for Irregular Multivariate Time Series
May 19, 2026Zinuo You, Jin Zheng, John CartlidgeLong-Horizon Forecasting Multivariate Time-Series
School of Computer Science, University of Bristol · School of Engineering Mathematics and Technology, University of Bristol
Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
May 18, 2026Bo Chen, Yitong Fan, Jie Yao +1Turbulent Flows Long-Horizon Forecasting
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China · School of Interdisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction
May 15, 2026Ganeshaaraj Gnanavel, Tharindu Fernando, Sridha Sridharan +1Long-Horizon Forecasting Maritime Navigation
SAIVT Research Group, Queensland University of Technology, Brisbane, QLD 4000, Australia
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
May 12, 2026Yichen Zhang, Jun LiImputation Temporal Graph Neural Networks
School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.
Stable Long-Horizon PDE Forecasting via Latent Structured Spectral Propagators
May 11, 2026Xiaoxiao Lu, Ye Yuan, Jiahao ShiNeural Partial Differential Equation Solvers Long-Horizon Forecasting
School of AIA, Huazhong University of Science and Technology
Controlling Transient Amplification Improves Long-horizon Rollouts
May 9, 2026Adeel Pervez, Francesco LocatelloAutoregressive Rollout Long-Horizon Forecasting
Institute of Science and Technology Austria Klosterneuburg, Austria
Towards Scalable One-Step Generative Modeling for Autoregressive Dynamical System Forecasting
May 7, 2026Tianyue Yang, Xiao XueLong-Horizon Forecasting Autoregressive Model
The Center for Computational Science University College London
A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting
Apr 22, 2026Brooks Kinch, Xiaozhe Hu, Yilong Huang +6Autoregressive Transformers Autoregressive Model
Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA · Department of Mathematics, Tufts University, Medford, MA, USA · Department of Mathematics and Cybernetics, SINTEF Digital, Oslo, Norway +3
AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction
Jan 10, 2024Sarmad Idrees, Seokman Sohn, Jongeun ChoiHuman Motion Prediction Long-Horizon Forecasting
School of Mechanical Engineering, Yonsei University, Seoul 03722, Korea · Power Generation Lab, Korea Power Research Institute, 105, Munji-Ro, Yuseong-Gu, Daejeon, 34056, South Korea

Sep 29, 2026, cs.ROJ/K move · Enter open · S save

All Roads Lead to Rome: Flow-driven Multi-Anchor Exploration for Open-Environment Active 3D Mapping

Yang Li, Aming Wu, Zihao Zhang, Ziju Han+2

School of Artificial Intelligence, Tianjin University, China · School of Computer Science and Information Engineering, Hefei University of Technology, China

3D Mapping Viewpoint-Dependent Active Perception Exploration Stochastic Exploration Long-Horizon Forecasting Embodied Artificial Intelligence

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To advance the development of embodied intelligence, Open-Environment Active 3D Mapping has attracted increasing attention, aiming to perform a long-horizon and shortest trajectory exploration for reconstructing unseen scenarios. Since only limited information about unseen environments is available, methods built on the closed-set assumption, i.e., assuming that the test environments are similar to those seen during training, cannot generalize satisfactorily. In existing active mapping methods, long-horizon exploration is often guided by predicting a coarse long-range goal and then converting it into an executable path. However, this stage is usually formulated as single-point prediction. Under partial observability, the same local observation may correspond to multiple plausible exploration directions, making such deterministic prediction prone to brittle decisions and degraded performance in unseen scenarios. Our experiments further verify that this is a key factor underlying their weak generalization. To address this issue, we reformulate long-horizon target prediction as conditional multimodal anchor generation using Conditional Flow Matching.Instead of predicting a single goal, our method learns a conditional distribution over coarse exploration anchors from the current mapping state. These anchors are first converted into executable candidate paths through obstacle-aware planning. We then apply exploration-mode clustering to compress geometrically similar trajectories and reduce candidate redundancy. Finally, a hierarchical selection module selects the most promising mode and reranks paths within it to produce the final executable trajectory. Experiments show that our method improves generalization and reconstruction efficiency in open environments.

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Latest papers 43